HR 10515

Introduced

Artificial Intelligence Education and Workforce Readiness Act of 2026

To establish a human-centered Federal framework for artificial intelligence in education and the workforce, promote the ethical and responsible teaching and learning of artificial intelligence, provide for equitable access to artificial intelligence-ready workforce development, safeguard student and worker data privacy, and for other purposes.

Introduced Sep 21, 2026

Latest action (Sep 21, 2026) Referred to the Committee on Education and Workforce, and in addition to the Committees on Science, Space, and Technology, and Ways and Means, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned.

Referred to

Ways and Means Committee Science, Space, and Technology Committee Education and Workforce Committee

Issues

EducationLabor & WagesTechnology & Privacy

Sponsor (1)

Rep. Bonamici, Suzanne (D-OR) [#1]

7 cosponsors

Actions (2)

Sep 21, 2026 Referred to the Committee on Education and Workforce, and in addition to the Committees on Science, Space, and Technology, and Ways and Means, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned. · house
Sep 21, 2026 Introduced in House

Text versions (1)

Introduced in House · Sep 21, 2026

Only one text version is on file, so there’s no earlier version to compare against yet.

Full text

IN THE HOUSE OF REPRESENTATIVES

September 21, 2026

Ms. Bonamici (for herself, Mr. Lieu, Mrs. Foushee, Mr. Gottheimer, Mr. Krishnamoorthi, Mr. Panetta, Mr. Thompson of Mississippi, and Ms. Wilson of Florida) introduced the following bill; which was referred to the Committee on Education and Workforce, and in addition to the Committees on Science, Space, and Technology, and Ways and Means, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned

A BILL

Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled,

SECTION 1. SHORT TITLE.

This Act may be cited as the “Artificial Intelligence Education and Workforce Readiness Act of 2026”.

SEC. 2. TABLE OF CONTENTS.

The table of contents for this Act is as follows:

Sec. 1. Short title. Sec. 2. Table of contents. Sec. 3. Definitions. Sec. 4. List of artificial intelligence-augmented occupations. Sec. 5. Interagency council on artificial intelligence in education and the workforce. Sec. 6. Compliance. Sec. 7. Authorization of appropriations.

TITLE I—ARTIFICIAL INTELLIGENCE EDUCATION AND TRAINING PROGRAMS

Sec. 101. Grant program for artificial intelligence-disrupted career pathways. Sec. 102. Pilot program on stackable micro-credentials. Sec. 103. State plan descriptions relating to artificial intelligence- disrupted career pathways. Sec. 104. Artificial intelligence in title iv programs. Sec. 105. Training for school leaders. Sec. 106. Research on artificial intelligence in education. Sec. 107. Regional centers for human-centered artificial intelligence in education and work. Sec. 108. National center for education evaluation and regional assistance activities. Sec. 109. Authorization of appropriations.

TITLE II—WORKFORCE DEVELOPMENT AND RESKILLING INITIATIVES

Sec. 201. National artificial intelligence workforce strategy. Sec. 202. Artificial intelligence workforce and industry coordination council. Sec. 203. State artificial intelligence workforce implementation plans. Sec. 204. Grant program for artificial intelligence apprenticeships and pre-apprenticeships. Sec. 205. Grant program for artificial intelligence reskilling. Sec. 206. Fellowship program for artificial intelligence education and public service. Sec. 207. Artificial intelligence accessibility. Sec. 208. Artificial intelligence reskilling tax credit. Sec. 209. Reporting on displacement and reskilling. Sec. 210. Authorization of appropriations.

TITLE III—EQUITABLE ACCESS TO ARTIFICIAL INTELLIGENCE IN EDUCATION AND CAREERS

Sec. 301. Grant program for equitable access to artificial intelligence education. Sec. 302. Grant program for capacity-building in minority-serving institutions. Sec. 303. Minority-serving institutions. Sec. 304. Grant program for artificial intelligence career equity. Sec. 305. Program for equity in artificial intelligence-augmented occupations. Sec. 306. Mentorship networks in artificial intelligence-augmented occupations. Sec. 307. Guidance on artificial intelligence in recruitment, training, and performance evaluation. Sec. 308. Authorization of appropriations.

TITLE IV—ACTIVITIES RELATED TO ARTIFICIAL INTELLIGENCE ENVIRONMENTAL IMPACTS

Sec. 401. Definitions. Sec. 402. Workforce development for environmental accountability. Sec. 403. Research on environmental impacts of artificial intelligence. Sec. 404. Community transparency and environmental disclosure. Sec. 405. Measurement standards. Sec. 406. Authorization of appropriations.

TITLE V—STUDENT AND WORKER DATA PRIVACY

Sec. 501. Data breach reports. Sec. 502. Artificial intelligence risk assessments in educational technology. Sec. 503. Guidance for artificial intelligence use. Sec. 504. Automated decision systems in workforce programs. Sec. 505. Interagency coordination. Sec. 506. Enforcement. Sec. 507. Authorization of appropriations.

SEC. 3. DEFINITIONS.

In this Act:

(1) Algorithmic bias.—The term “algorithmic bias” means unintended disparities in a covered outcome, on the basis of a protected characteristic, that result from the design or use of artificial intelligence, including disparities resulting from incomplete, unrepresentative, or discriminatory data used to design, train, or operate such artificial intelligence.

(2) Apprenticeship.—The term “apprenticeship” means an apprenticeship registered under the Act of August 16, 1937 (commonly known as the “National Apprenticeship Act”; 50 Stat. 664, chapter 663; 29 U.S.C. 50 et seq.).

(3) Area career and technical education school; work-based learning.—The terms “area career and technical education school” and “work-based learning” have the meanings given such terms in section 3 of the Carl D. Perkins Career and Technical Education Act of 2006 (20 U.S.C. 2302).

(4) Artificial intelligence.—The term “artificial intelligence” has the meaning given such term in section 5002 of the National Artificial Intelligence Initiative Act of 2020 (15 U.S.C. 9401).

(5) Artificial intelligence accessibility.—The term “artificial intelligence accessibility” means the design, development, and deployment of artificial intelligence systems in a manner that enables individuals with disabilities to use such systems and to participate in artificial intelligence- disrupted career pathways and artificial intelligence-augmented occupations, consistent with section 508 of the Rehabilitation Act of 1973 (29 U.S.C. 794d) and the requirements of the Americans with Disabilities Act of 1990 (42 U.S.C. 12101 et seq.).

(6) Artificial intelligence-augmented occupation.—The term “artificial intelligence-augmented occupation” means an occupation, trade, or profession in which artificial intelligence is used to complement, assist, or enhance—

(A) tasks conducted by humans; or

(B) decisions made by humans.

(7) Artificial intelligence-disrupted career pathway.—The term “artificial intelligence-disrupted career pathway” means a career pathway (as such term is defined in section 3 of the Workforce Innovation and Opportunity Act (29 U.S.C. 3102)) that—

(A) prepares an individual for employment in an artificial intelligence-augmented occupation; and

(B) includes instruction and training in the responsible use of artificial intelligence, including instruction and training in—

(i) critical thinking;

(ii) data interpretation;

(iii) artificial intelligence ethics; and

(iv) communication.

(8) Artificial intelligence ethics.—The term “artificial intelligence ethics” means principles governing the design, development, deployment, integration, and responsible use of artificial intelligence, including principles of—

(A) fairness;

(B) transparency;

(D) privacy; and

(E) social and environmental beneficence.

(9) Artificial intelligence governance.—The term “artificial intelligence governance” means practices used to oversee the design, development, deployment, integration, and use of artificial intelligence, including practices relating to—

(A) risk assessment and management;

(B) accountability;

(D) validation of model performance against established benchmarks;

(E) algorithm performance explainability;

(F) system auditing and incident response protocols;

(G) safety;

(H) testing for and mitigation of algorithmic bias;

(I) compliance with law;

(J) disclosure; and

(K) human review and oversight.

(10) Artificial intelligence developer.—The term “artificial intelligence developer” means a person or entity that designs, codes, trains, or substantially modifies an artificial intelligence model or system, including by determining the training data, architecture, or parameters used in such model or system, and includes responsibility for—

(A) disclosing to artificial intelligence integrators and artificial intelligence deployers the known or reasonably foreseen limitations, risks, and intended uses of such model or system; and

(B) enabling meaningful human oversight of such model or system by artificial intelligence integrators and artificial intelligence deployers, including by providing documentation sufficient to understand the basis for outputs generated by such model or system.

(11) Artificial intelligence integrator.—The term “artificial intelligence integrator” means a person or entity that, for profit, incorporates an artificial intelligence model or system developed by an artificial intelligence developer into a software application or product for a specific use case, including by configuring, refining, or adding functionality to such model or system for such use case, and includes responsibility for—

(A) disclosing to artificial intelligence deployers the intended use case, configuration, and known or reasonably foreseeable limitations and risks of such applications or product; and

(B) maintaining human oversight mechanisms, including the ability to review, override, or disable functionality of such application or product, for use by artificial intelligence deployers.

(12) Artificial intelligence deployer.—The term “artificial intelligence deployer” means a person or entity that, for profit, makes an artificial intelligence model, system, application, or product available to an end user, including by offering, selling, licensing, or providing access to such model, system, application, or product for use in contexts related to education or workforce, and includes responsibility for—

(A) disclosing to end users that such end users are interacting with, or subject to a decision informed by, artificial intelligence models or systems; and

(B) ensuring that a human retains oversight and decision-making authority over outputs generated by such model, system, application, or product when used in contexts related to education or workforce.

(13) Artificial intelligence-impacted industry.—The term “artificial intelligence-impacted industry” means an industry, sector, or occupational group for which robust Federal analysis or data, including such analysis or data conducted or collected by the Department of Labor, the Department of Commerce, or the National Science Foundation, indicates that technologies related to artificial intelligence are substantially changing job tasks, skill requirements, or employment patterns, including through augmentation, displacement, or partial or total automation of work previously or traditionally performed by humans.

(14) Artificial intelligence literacy.—The term “artificial intelligence literacy” means the ability to understand, use, and critically evaluate artificial intelligence, including—

(A) understanding the capabilities, risks, and limitations of artificial intelligence;

(B) the ability to critically evaluate outputs generated by artificial intelligence, including by recognizing inaccuracies, bias, and other limitations of such outputs;

(C) the application of critical thinking, ethical and logical reasoning, and skills derived from the humanities and social sciences to recognize the benefits and risks of artificial intelligence; and

(D) an understanding of the effects of overreliance on artificial intelligence on human development, including with respect to critical thinking, communication, literacy, and socialization.

(15) Artificial intelligence reskilling.—The term “artificial intelligence” reskilling means a program of education or training designed to equip an individual currently employed or recently displaced from employment with artificial intelligence literacy (as defined in this section) and the skills, knowledge, and credentials necessary to transition into an artificial intelligence-augmented occupation or retain employment in an artificial intelligence-impacted industry.

(16) Cooperative education.—The term “cooperative education” has the meaning given such term in section 831 of title VIII of the Higher Education Act of 1965 (20 U.S.C. 1161n(b)).

(17) Covered outcome.—The term “covered outcome” means an effect of the design or use of artificial intelligence that is—

(A) economic, including with respect to employment, wages, or access to credit or financial services;

(B) educational, including with respect to admissions, assessment, or access to educational resources or opportunities;

(D) related to access to opportunity, including with respect to housing, public accommodations, or social services.

(18) Designated risk management framework.—The term “designated risk management framework” means—

(A) the Artificial Intelligence Risk Management Framework developed by the National Institute of Standards and Technology and published on January 26, 2023; and

(B) any successor or substantially equivalent framework, as determined by the Director of the National Institute of Standards and Technology.

(19) Elementary school.—The term “elementary school” has the meaning given such term in section 8101 of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 7801).

(20) Humanities.—The term “humanities” has the meaning given such term in section 3 of the National Foundation on the Arts and the Humanities Act of 1965 (20 U.S.C. 952).

(21) Institution of higher education.—The term “institution of higher education” has the meaning given such term in section 101 of the Higher Education Act of 1965 (20 U.S.C. 1001) and is accredited by a recognized accreditation organization, including an independent accrediting body, State agency, or the Department of Education.

(22) Internship.—The term “internship” means a planned, structured learning experience that takes place in a workplace for a limited period of time, consistent with section 680.180 of title 20, Code of Federal Regulations (or any successor regulation).

(23) Junior or community college.—The term “junior or community college” has the meaning given such term in section 312 of the Higher Education Act of 1965 (20 U.S.C. 1058).

(24) Local board; recognized postsecondary credential; state board.—The terms “local board”, “recognized postsecondary credential”, and “State board” have the meanings given such terms in section 3 of the Workforce Innovation and Opportunity Act (29 U.S.C. 3102).

(25) Local educational agency; state educational agency.— The terms “local educational agency” and “State educational agency” have the meanings given such terms in section 8101 of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 7801).

(26) Nonprofit research organization.—The term “nonprofit research organization” means an organization—

(A) that conducts research and development activities through funding by an organization that is described in section 501(c) of the Internal Revenue Code of 1986 and is identified by the Annual Business Survey of the United States Census Bureau; or

(B) that is described in section 501(c)(3) of the Internal Revenue Code of 1986 and exempt from taxation under section 501(a) of such Code; and

(i) science; or

(ii) education.

(27) Pre-apprenticeship.—The term “pre-apprenticeship” has the meaning given such term in section 681.480 of title 20, Code of Federal Regulations (or any successor regulation).

(28) Protected characteristic.—The term “protected characteristic” means race, color, national origin, sex, sexual orientation, disability, age, socioeconomic status, or religion, as such characteristics are protected under Federal nondiscrimination law applicable to the recipient of Federal financial assistance or other entity engaged in the design or use of artificial intelligence concerned.

(29) Regional labor market demand.—The term “regional labor market demand” means workforce needs within a labor market area (as defined in section 3 of the Workforce Innovation and Opportunity Act (29 U.S.C. 3102)), as identified by—

(A) a local board;

(B) a State board; or

(30) Rural area.—The term “rural area” means any area that is not located within the boundaries of an urbanized area, as defined by the Bureau of the Census, with a population of 50,000 or more inhabitants.

(31) Secondary school.—The term “secondary school” has the meaning given such term in section 8101 of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 7801).

(32) Social sciences.—The term “social sciences” means disciplines that study human society, relationships, and behavior, including psychology, sociology, economics, political science, anthropology, theology, geography, history, linguistics, and related disciplines that apply scientific research and inquiry methods to study how individuals interact, form institutions, and influence their social, physical, and institutional environments.

(33) Stackable micro-credential.—The term “stackable micro-credential” means a credential that—

(A) certifies the completion of a course of study that is shorter in duration and more flexible in structure than a traditional degree program;

(B) certifies that the recipient has been assessed against transparent and clearly defined criteria and has demonstrated attainment of specific skills or knowledge, rather than certifying solely participatory attendance;

(D) may be counted toward the attainment of a recognized postsecondary credential.

(34) Underserved community.—The term “underserved community”—

(A) means a population or geographic area that has limited access to—

(i) educational opportunities;

(ii) economic opportunities; or

(iii) workforce opportunities; and

(B) includes—

(i) a rural area;

(ii) a low-income community; and

(iii) any population that the appropriate Federal authority, including the Secretary of Labor, the Secretary of Education, or the Director of the National Science Foundation, determines is underrepresented in—

(I) opportunities related to elementary education, secondary education, career and technical education, or postsecondary education; or

(II) opportunities related to workforce development, apprenticeships, upskilling, or retraining.

SEC. 4. LIST OF ARTIFICIAL INTELLIGENCE-AUGMENTED OCCUPATIONS.

(a) Publication.—Not later than 270 days after the date of the enactment of this Act, the Secretary of Labor, in consultation with the Secretary of Education and the Director of the National Science Foundation, shall publish a list of artificial intelligence-augmented occupations, which shall—

(1) not be construed to limit eligibility for any program established under this Act to occupations included on such list;

(2) include—

(A) Standard Occupational Classification codes;

(B) where appropriate, North American Industry Classification Systems codes; and

(3) be based on—

(A) labor market data published by the Commissioner of Labor Statistics, including—

(i) data from the Occupational Employment and Wage Statistics program of the Bureau of Labor Statistics; and

(ii) data from the Employment Projections program of the Bureau of Labor Statistics; and

(B) peer-reviewed research on the effects of artificial intelligence on—

(i) employment rates;

(ii) job tasks; and

(iii) workforce skill requirements;

(4) identify occupations in which artificial intelligence is having or is projected to have a significant effect on job tasks or workforce skill requirements;

(5) include a summary list of such occupations determined to have been adversely disrupted or eliminated as a result of artificial intelligence; and

(6) include an analysis of the differential effects of artificial intelligence on workers in such occupations disaggregated by—

(A) geographic region; and

(B) demographic group.

(b) Updates.—Not later than 1 year after the date of the publication of the list described in subsection (a), the Secretary of Labor shall update such list not less than once every year thereafter.

(c) Public Comment Required.—In publishing the list under subsection (a) and updating such list under subsection (b), the Secretary of Labor shall solicit public comment for a period of not less than 45 days.

SEC. 5. INTERAGENCY COUNCIL ON ARTIFICIAL INTELLIGENCE IN EDUCATION AND THE WORKFORCE.

(a) Establishment.—There is established a council to be known as the Interagency Council on Artificial Intelligence in Education and the Workforce (in this section referred to as the “Council”).

(b) Duties.—The Council shall—

(1) coordinate Federal activities under—

(A) this Act; and

(B) the amendments made by this Act;

(2) develop a national strategy for artificial intelligence education and workforce readiness;

(3) assist, including through guidance, technical assistance, and interagency coordination, the adoption of the designated risk management framework by—

(A) Federal agencies; and

(B) recipients of grants and cooperative agreements under this Act and the amendments made by this Act; and

(4) facilitate open-access licensing of research outputs, curricular materials, data sets, and software developed using amounts provided under this Act and the amendments made by this Act.

(1) In general.—The Council shall be composed of the following members or their designees:

(A) The Secretary of Education.

(B) The Secretary of Labor.

(D) The Director of the National Science Foundation.

(E) The Director of the Institute of Education Sciences.

(F) The Director of the National Institute of Standards and Technology.

(G) The Administrator of the Small Business Administration.

(H) The Assistant Secretary of Education for Career, Technical, and Adult Education.

(I) The Assistant Secretary of Labor for Employment and Training.

(J) Such other officers of the United States as the President may designate.

(2) Quorum.—A majority of the members of the Council shall constitute a quorum, but a lesser number may hold hearings.

(3) Chairperson.—The Secretary of Education shall be the Chairperson of the Council.

(4) Vice chairperson.—The Secretary of Labor shall be the Vice Chairperson of the Council.

(5) Subcommittees.—The Council may establish such subcommittees of the Council as the members of the Council determine appropriate.

(6) Staff.—The Department of Education shall provide staff and administrative and technical support to the Council.

(d) Meetings.—The Council shall meet—

(1) not later than 180 days after the date of the enactment of this Act; and

(2) not less than once every 90 days thereafter.

(e) Report.—Not later than 1 year after the meeting under subsection (d)(1) and annually thereafter, the Council shall submit to the Committee on Education and Workforce and the Appropriations Subcommittee on Labor, Health and Human Services, Education, and Related Agencies of the House of Representatives, and the Committee on Health, Education, Labor, and Pensions and Appropriations Subcommittee on Labor, Health and Human Services, Education, and Related Agencies of the Senate a report—

(1) describing the Council’s activities under this section; and

(2) recommending legislative or administrative action to facilitate the implementation of this section.

SEC. 6. COMPLIANCE.

(a) Definitions.—In this section:

(1) Appropriate federal authority.—The term “appropriate Federal authority” means—

(A) the Secretary of Education, in the case of covered activities undertaken using amounts provided by such Secretary;

(B) the Secretary of Labor, in the case of covered activities undertaken using amounts provided by such Secretary; and

(C) the Director of the National Science Foundation, in the case of covered activities undertaken using amounts provided by such Director.

(2) Covered activities.—The term “covered activities” means activities that are undertaken using amounts provided under—

(A) this Act; or

(B) the amendments made by this Act.

(b) In General.—

(1) Requirements.—An entity subject to the requirements of this section shall carry out each of the following:

(A) Make research findings and curricular materials resulting from covered activities conducted by such entity publicly available under a license that is open- access.

(B) Not less than twice during the period of such covered activities, undertake, publish, and submit to the appropriate Federal authority the results of an independent evaluation of such covered activities.

(D) With respect to each artificial intelligence tool used by such eligible entity that materially affects student learning, well-being, engagement or assessment—

(i) provide a summary of the function, purpose, and data inputs of such tool to students, parents, and educators—

(I) in plain language; and

(II) additionally, in languages other than English common among students served by such eligible entity;

(ii) provide a preview of such tool lasting not fewer than 14 days before beginning use of such tool for student learning or assessment;

(iii) provide students, parents, and educators with an opportunity to opt out of using such tool;

(iv) document the human oversight and decision-making authority procedures applicable to such tool, consistent with such procedures described in section 105; and

(v) perform bias and accessibility testing of such tool consistent with the designated risk management framework.

(E) Implement a data security program with respect to student data, where applicable, that includes—

(i) encryption of data at rest and in transit;

(ii) multi-factor authentication for individuals authorized to access such data;

(iii) regular review and testing of the vulnerabilities of such program;

(iv) mandatory data breach notification procedures requiring that, not later than 72 hours after discovery of a breach of personally identifiable student data, such entity notify—

(I) the Secretary of Education through the portal established under section 501(a);

(II) each student, and the parent or guardian of each student who is a minor, whose personally identifiable data was compromised in such breach; and

(III) in the case of a breach affecting students in elementary or secondary education, the State educational agency of the State in which such entity is located.

(v) as a condition of any contract for the collection, management, or storage of student data, written attestation by any contractor of compliance with the Family Educational Rights and Privacy Act of 1974, the Children’s Online Privacy Protection Act of 1998, where applicable, and the requirements of this section, which attestation the eligible entity shall retain and make available for audit; and

(vi) conformance with minimum information security standards, including relevant guidance issued by the National Institute of Standards and Technology and, where applicable, Federal policies for the management of information resources.

(2) Prohibition.—

(A) In general.—An entity subject to the requirements of this section may not sell, license, use, or use to train, retrain, or otherwise develop any artificial intelligence model or system, including for the purposes of commercial advertising, marketing, or product development unrelated to educational services, any personally identifiable student data, including metadata, behavioral, or biometric data, collected or obtained by such entity in connection with covered activities.

(B) Exception.—Subparagraph (A) does not apply to—

(i) the use of aggregated or deidentified data for research or program evaluation purposes, consistent with the Family Educational Rights and Privacy Act of 1974 (20 U.S.C. 1232g) and the Confidential Informational Protection and Statistical Efficiency Act of 2018 (44 U.S.C. 3561 et seq.); and

(ii) the use of such data described in subparagraph (A) that may be used to train, retrain, or otherwise develop an artificial intelligence model or system solely for the purpose of providing the same covered activity to the student from whom the data was collected, subject to the requirements of subsection (c).

(1) In general.—An entity that fails to comply with the requirements of this section shall be ineligible to receive amounts under this Act or the amendments made by this Act for a period determined by the appropriate Federal authority, not to exceed 5 years.

(2) Referral.—In the case of a material failure to comply with the requirements of this section, the appropriate Federal authority shall refer such failure to the Inspector General of the relevant Federal agency for further action consistent with applicable law.

SEC. 7. AUTHORIZATION OF APPROPRIATIONS.

There is authorized to be appropriated $10,000,000 for each of fiscal years 2027 through 2031 to carry out sections 4 through 6 of this Act.

TITLE I—ARTIFICIAL INTELLIGENCE EDUCATION AND TRAINING PROGRAMS

SEC. 101. GRANT PROGRAM FOR ARTIFICIAL INTELLIGENCE-DISRUPTED CAREER PATHWAYS.

(a) Establishment.—The Secretary of Education shall establish a program to award grants on a competitive basis to eligible consortia to develop and implement artificial intelligence-disrupted career pathways.

(b) Requirements.—An artificial intelligence-disrupted career pathway developed using a grant under this section shall—

(1) include—

(A) training in—

(i) the humanities and social sciences; and

(ii) artificial intelligence literacy and governance; and

(B) opportunities for work-based learning for which participants receive wages or stipends, including—

(i) apprenticeships;

(ii) pre-apprenticeships;

(iii) internships; or

(iv) cooperative education;

(2) lead to the attainment of a recognized postsecondary credential; and

(3) be responsive to regional labor market demand data with regard to identifying relevant and emerging competencies and needs related to workforce talent.

(c) Eligible Consortium.—In this section, the term “eligible consortium” means a consortium that includes at least 1 of each of the following:

(1) A local educational agency or State educational agency.

(2) An institution of higher education or area career and technical education school.

(3) An employer, industry or sector partnership (as defined in the Workforce Innovation and Opportunity Act (20 U.S.C. 3102)), or joint labor-management organization (as such term is used in the Workforce Innovation and Opportunity Act (29 U.S.C. 3101 et seq.)).

(4) A local board or State board.

(d) Priority.—In awarding a grant under this section, the Secretary of Education shall prioritize an eligible consortium that proposes to develop and implement an artificial intelligence-disrupted career pathway that—

(1) serves participants from an underserved community;

(2) includes an apprenticeship; or

(3) is focused on in-demand and emerging roles and skills, as determined by the Secretary of Education.

(e) Reports.—Not later than 1 year after the date on which such grant is awarded, and annually thereafter during the period of such grant, each eligible consortium receiving a grant under this section shall submit to the Secretary of Education a report satisfying the following:

(1) Describe the outcomes of each artificial intelligence- disrupted career pathway developed and implemented by such eligible consortium during the period of such report.

(2) Include the following information, disaggregated by protected characteristics of participants in such pathways:

(A) The number of participants in such career pathway.

(B) The percentage of such participants who complete such career pathway within the expected period of completion, as determined by such eligible consortium.

(C) The percentage of such participants who, not later than 6 months after completing such career pathway, obtain employment in an occupation not designated as an artificial intelligence-augmented occupation on the list published under section 4.

(D) The percentage of such participants who, not later than 6 months after completing such career pathway, obtain employment in an occupation designated as an artificial intelligence-augmented occupation on such list.

(E) The Standard Occupational Classification codes for occupations in which such participants obtain employment.

(F) The percentage of such participants who remain employed 12 months after beginning such employment.

(G) The median income earned by such participants in such employment.

(3) Include only data that are—

(A) aggregated; and

(B) anonymized.

(f) Publication.—Upon receipt of the report described in subsection (e), the Secretary of Education shall publish aggregated data from such report in a publicly accessible, online format.

(g) Compliance.—Each eligible consortium receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 102. PILOT PROGRAM ON STACKABLE MICRO-CREDENTIALS.

(a) Establishment.—The Secretary of Education shall establish a program to award grants to eligible entities to develop stackable micro-credentials that—

(1) belong to artificial intelligence-disrupted career pathways; and

(2) provide training in—

(A) artificial intelligence literacy; and

(B) artificial intelligence ethics.

(b) Use of Funds.—An eligible entity may only use a grant under this section to carry out the following:

(1) Design a micro-credential that can be stacked into—

(A) an associate degree;

(B) a baccalaureate degree; or

(2) Provide training and professional development for faculty who provide instruction for such micro-credential.

(3) Purchase equipment and software for use in instruction for such micro-credential.

(4) Evaluate, according to the criteria listed in paragraphs (B) through (F) of section 101(e)(1), the outcomes of such micro-credential.

(1) an institution of higher education;

(2) an area career and technical education school;

(3) a local board or State board;

(4) a recognized private sector certification-issuing organization; or

(5) a consortium of 2 or more entities described in paragraphs (1) through (3).

(d) Compliance.—Each eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 103. STATE PLAN DESCRIPTIONS RELATING TO ARTIFICIAL INTELLIGENCE- DISRUPTED CAREER PATHWAYS.

(a) State Plans.—Section 1111(g) of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 6311(g)) is amended—

(1) in paragraph (1), by striking “Descriptions” in the heading and inserting “Required descriptions”;

(2) by redesignating paragraphs (2) through (4) as paragraphs (3) through (5), respectively; and

(3) by inserting after paragraph (1) the following:

“(2) Optional description.—Each State plan may describe how the State intends to support the development and implementation of artificial intelligence-disrupted career pathways (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) within the State, including by—

“(A) coordinating with local boards, State boards (as defined in section 3 of the Workforce Innovation and Opportunity Act (29 U.S.C. 3102)), and institutions of higher education (as defined in section 101 of the Higher Education Act of 1965 (20 U.S.C. 1001)) to align such pathways with regional labor market demand (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026);

“(B) supporting the provision of training for teachers, principals, superintendents, and other school leaders under section 2103(b)(3)(P);

“(C) disseminating resources developed under the Artificial Intelligence Education and Workforce Readiness Act of 2026 to local educational agencies within the State that are not otherwise receiving direct technical assistance under such Act; and

“(D) facilitating partnerships, for the purpose of developing and sustaining artificial intelligence- disrupted career pathways that align with regional labor market demand, between—

“(i) local educational agencies or State educational agencies;

“(ii) elementary and secondary schools, or nonprofit organizations, with demonstrated success in facilitating out-of-school time programs, for the purposes of developing and sustaining such career pathways through such programs;

“(ii) institutions of higher education;

“(iv) employers; and

“(v) workforce partners.”.

(b) Technical Assistance Priority.—In providing technical assistance to States under this Act, the appropriate Federal authority shall give priority to States that include a description under 1111(g)(2) of the Elementary and Secondary Education Act of 1965, as amended by subsection (a) of this section.

SEC. 104. ARTIFICIAL INTELLIGENCE IN TITLE IV PROGRAMS.

Section 4001 of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 7101) is amended by adding at the end the following:

“(d) Eligible Entity Requirements.—An eligible entity that receives a grant under this title on or after the date of the enactment of the Artificial Intelligence Education and Workforce Readiness Act of 2026—

“(1) shall be subject to the requirements under section 6 of such Act with respect to activities related to artificial intelligence carried out using amounts provided under such Act; and

“(2) may not—

“(A) allow an artificial intelligence integrator or artificial intelligence deployer (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) to—

“(i) determine, direct, or otherwise exercise controlling influence over the content of curricular, instructional, or assessment materials, practices, or methods developed or used by such eligible entity, including through the configuration, design, or terms of use of any artificial intelligence system or platformed provided to such eligible entity; or

“(ii) otherwise exercise decision-making authority over any educational content developed or used by such eligible entity that is not described in clause (i); or

“(B) condition the participation of students or educators in any program or activity funded under this subpart on the exclusive adoption of any artificial intelligence platform.”.

SEC. 105. TRAINING FOR SCHOOL LEADERS.

Section 2103(b)(3) of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 6613(b)(3)) is amended—

(1) in subparagraph (O), by striking “and” at the end;

(2) by redesignating subparagraph (P) as subparagraph (Q); and

(3) by inserting after subparagraph (O) the following:

“(P) providing high-quality, in-service training, including with regard to artificial intelligence ethics (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) to prepare teachers, principals, superintendents, and other school leaders to—

“(i) use artificial intelligence to improve instruction, assessment, and communication among students, educators, and families, without replacing—

“(I) educators; or

“(II) core educator capacities, including— “(aa) the exercise of instructional judgment, including the ability to adapt instruction in response to the individual academic, social, and emotional needs of students; “(bb) the evaluation of student learning, growth, and understanding, including by—

“(AA) reviewing and approving any assessment of student work generated or scored by artificial intelligence prior to such assessment being used for any educational determination;

“(BB) interpreting assessment results with regard to each student’s individual academic, social, and emotional performance;

“(CC) identifying students’ academic and developmental needs based on such results; and

“(DD) determining appropriate instructional responses to such needs;

“(cc) classroom management; and

“(dd) building relationships with students and families.

“(ii) ensure that a human retains oversight and decision-making authority over outputs generated by artificial intelligence;

“(iii) communicate to students and families the limitations and appropriate uses of artificial intelligence in education;

“(iv) comply, with respect to the use of artificial intelligence by the eligible entity, including through the use of artificial intelligence by students and educators within such entity, with—

“(I) section 444 of the General Education Provisions Act (20 U.S.C. 1232g) (commonly known as the ‘Family Educational Rights and Privacy Act of 1974’);

“(II) the Children’s Online Privacy Protection Act of 1998 (15 U.S.C. 6501 et seq.); and

“(III) the requirements of section 6 of the Artificial Intelligence Education and Workforce Readiness Act of 2026; and

“(v) integrate humanities and social sciences components into instruction related to artificial intelligence.”.

SEC. 106. RESEARCH ON ARTIFICIAL INTELLIGENCE IN EDUCATION.

(a) Priority Education Innovation and Research Grants.—Section 4611 of the Elementary and Secondary Education Act of 1965 (20 U.S.C. 7261) is amended—

(1) in subsection (a)(1)(A), by striking “students; and” and inserting “students, including by preparing such students for artificial intelligence-augmented occupations (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026); and”;

(2) by redesignating subsections (d) through (f) as subsections (f) through (h), respectively; and

(3) by inserting after subsection (c) the following:

“(d) Priority Grants.—In awarding grants under subsection (a), the Secretary shall prioritize eligible entities that seek to develop or implement curricula, assessments, and instructional tools that—

“(1) support student success in artificial intelligence- disrupted career pathways (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026);

“(2) address responsible uses of artificial intelligence in enabling healthy behavioral development and mitigating potentially harmful effects of artificial intelligence use on the mental health and wellness of students; and

“(3) include humanities and social sciences components.

“(e) Compliance.—Each recipient of a grant under subsection (a) shall be subject to the requirements under section 6 of the Artificial Intelligence Education and Workforce Readiness Act of 2026.”.

(b) Research Under the Fund for the Improvement of Postsecondary Education.—Section 741 of the Higher Education Act of 1965 (20 U.S.C. 1138) is amended by adding at the end the following:

“(g) Artificial Intelligence Research in Humanities and Social Sciences Departments.—The Secretary is authorized to award grants to, and enter into cooperative agreements with, institutions of higher education to fund research within departments in the humanities and social sciences located at such institutions on—

“(1) artificial intelligence ethics (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026);

“(2) artificial intelligence governance (as defined in such section 3); and

“(3) artificial intelligence (as defined in such section

3) as it relates to the public trust, civics, reason, and judgement.

“(h) Collaborative Networks for Artificial Intelligence Ethics.—

“(1) In general.—The Secretary is authorized to award grants to, and enter into cooperative agreements with, institutions of higher education and nonprofit research organizations (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) to establish collaborative networks to—

“(A) develop and disseminate model curricula on artificial intelligence ethics (as defined in such section 3) for use in secondary and higher education;

“(B) provide training related to artificial intelligence ethics for secondary education and higher education faculty, including training in—

“(i) the development of curricula related to artificial intelligence ethics, including the responsible use of artificial intelligence as a tool in such development;

“(ii) instructional practices for teaching artificial intelligence ethics, including the responsible integration of artificial intelligence into such instruction; and

“(iii) the responsible use of artificial intelligence in research, teaching, curriculum development, and assessment related to artificial intelligence ethics; and

“(C) support student research on artificial intelligence ethics.

“(2) Website.—The Secretary shall develop and publish a website containing the model curricula developed under paragraph (1)(A).

“(3) Collaborative network.—In this subsection, the term ‘collaborative network’ means a network consisting of 2 or more of the following:

“(A) An institution of higher education.

“(B) A nonprofit research organization (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026).

“(C) A local educational agency.

“(D) A State educational agency.

“(i) Compliance.—Each recipient of a grant or cooperative agreement under this section shall be subject to the requirements under section 6 of the Artificial Intelligence Education and Workforce Readiness Act of 2026.”.

SEC. 107. REGIONAL CENTERS FOR HUMAN-CENTERED ARTIFICIAL INTELLIGENCE IN EDUCATION AND WORK.

(a) Establishment.—The Director of the National Science Foundation (in this section referred to as the “Director”), acting through the Assistant Director for STEM Education, the Assistant Director for Technology, Innovation, and Partnerships of the Foundation, and the Assistant Director for Social, Behavioral and Economic Sciences, and in consultation with the Secretary of Labor, shall establish a program, which shall be complement and not duplicate existing programs or activities of the National Science Foundation, including the State and Regional Artificial Intelligence Infrastructure Hubs, to award grants to eligible entities to establish Regional Centers for Human-Centered Artificial Intelligence in Education and Work (in this section referred to as “Centers”).

(b) Grant Criteria.—In awarding grants under this section, the Director shall—

(1) seek to facilitate the establishment of Centers in a diversity of geographic areas and economic sectors; and

(2) prioritize an eligible entity that intends to collaborate, in carrying out the required activities under subsection (c), with—

(A) an institution specified in section 371(a) of the Higher Education Act of 1965 (20 U.S.C. 1067q(a));

(B) a junior or community college;

(D) a labor organization as defined in section 2 of the National Labor Relations Act (29 U.S.C. 152), or an organization that represents employees of a State or local government or a political subdivision thereof;

(E) a small business concern (as described in section 3 of the Small Business Act (15 U.S.C. 632)); or

(F) an industry or sector partnership as described in section 3 of the Workforce Innovation and Opportunity Act (29 U.S.C. 3102).

(1) Coordinate and synthesize research, including research in coordination with efforts supported by the multidisciplinary Centers for Transformative Education Research of the National Science Foundation, conducted pursuant to this Act and the amendments made by this Act, related to the effects of artificial intelligence on—

(A) elementary, secondary, and higher education, including—

(i) teaching practices;

(ii) student outcomes; and

(iii) teacher hiring and retention; and

(B) the workforce, including—

(i) job tasks;

(ii) skill requirements;

(iii) job earnings; and

(iv) working conditions.

(2) Collaborate with institutions of higher education and nonprofit research organizations to identify and address gaps in knowledge relating to effects of artificial intelligence on—

(A) elementary, secondary, and higher education; and

(B) the workforce.

(3) Assist local educational agencies, State educational agencies, and recipients of grants and cooperative agreements under section 106(b) in disseminating model curricula related to artificial intelligence for use in—

(A) elementary, secondary, and higher education; and

(B) artificial intelligence-disrupted career pathways.

(4) Coordinate and synthesize research conducted under section 403 on the environmental and economic impacts of infrastructure related to artificial intelligence on covered communities (as defined in section 401), to the extent such research informs the effects of artificial intelligence described in paragraph (1).

(d) Prohibited Activities.—A Center established pursuant to a grant under this section, in carrying out activities as a Center under this section, may not carry out any of the following:

(1) Develop, commercialize, or promote—

(A) any artificial intelligence product or service for purposes other than the internal research activities of such Center; or

(B) any algorithm or training dataset intended for use in the development of an artificial intelligence product or service for purposes other than the internal research activities of such Center or use in labor market information systems of the Department of Labor.

(2) Conduct research that does not primarily relate to the effects of artificial intelligence on human decision making in contexts related to—

(A) education; or

(B) the workforce.

(e) Reports.—

(1) Center reports.—Not later than 1 year after the date of the establishment of such Center pursuant to a grant under this section and annually thereafter, each Center shall submit to the Director a report, which the Director shall make publicly available, summarizing the following:

(A) Activities conducted by such Center.

(B) Research findings made by such Center.

(2) Reports to congress.—Not later than 1 year after the date of the enactment of this Act and annually thereafter, the Director shall submit to the Committee on Science, Space, and Technology of the House of Representatives and the Committee on Commerce, Science, and Transportation of the Senate, and make publicly available, a report containing the following:

(A) A summary of the activities of each Center.

(B) Recommendations for legislative or administrative action to promote research on the effects of artificial intelligence on education and the workforce.

(f) Eligible Entity.—In this section, the term “eligible entity” means—

(1) an institution of higher education; or

(2) a consortium that is—

(A) led by an institution of higher education; and

(B) composed of 1 or more—

(i) nonprofit research organizations;

(ii) local educational agencies;

(iii) State educational agencies;

(iv) local boards;

(v) State boards; and

(vi) employers.

(g) Compliance.—Each Center established pursuant to a grant under this section shall be subject to the requirements under section 6.

SEC. 108. NATIONAL CENTER FOR EDUCATION EVALUATION AND REGIONAL ASSISTANCE ACTIVITIES.

(a) Artificial Intelligence Practice Guides.—Section 172 of the Education Sciences Reform Act of 2002 (20 U.S.C. 9562) is amended by adding at the end the following:

“(e) Artificial Intelligence Practice Guides.—

“(1) In general.—The Director shall develop, publish, seek to widely distribute, and, as the Director deems appropriate, periodically update practice guides on the responsible use of artificial intelligence (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) in elementary and secondary education, which shall meet the following requirements:

“(A) Be designed for use by—

“(i) educators;

“(ii) school leaders; and

“(iii) local educational agencies and State educational agencies.

“(B) Provide recommendations for—

“(i) such use of artificial intelligence in instruction and assessment;

“(ii) such use of artificial intelligence for the mitigation of academic dishonesty, including such dishonesty that is assisted with artificial intelligence; and

“(iii) to the extent practicable, the mitigation of algorithmic bias (as defined in such section 3) in such use of artificial intelligence.

“(C) Identify effective methods for increasing artificial intelligence literacy (as defined in such section 3) among educators and school leaders.

“(D) Identify methods for complying, with respect to such use of artificial intelligence, with—

“(i) section 444 of the General Education Provisions Act (20 U.S.C. 1232g) (commonly known as the ‘Family Educational Rights and Privacy Act of 1974’); and

“(ii) the Children’s Online Privacy Protection Act of 1998 (15 U.S.C. 6501 et seq.).

“(2) Expert input.—In developing, publishing, and updating practice guides under this subsection, the Director shall solicit and incorporate input from experts in—

“(A) artificial intelligence ethics (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026);

“(B) artificial intelligence risk management, including experts in risk management practices consistent with the designated risk management framework (as defined in such section 3); and

“(C) the humanities and social sciences including, education sciences and researchers with expertise in teaching and learning.”.

(b) Regional Educational Laboratories.—Section 174 of such Act (20 U.S.C. 9564) is amended—

(1) in subsection (g), by adding at the end the following:

“(6) Promote the responsible use of artificial intelligence (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) in education through the following activities:

“(A) Researching, including using research methods from the humanities and social sciences, the effects of integrating artificial intelligence into—

“(i) instruction;

“(ii) assessment; and

“(iii) education administration.

“(B) Disseminating the results of the research under subparagraph (A)—

“(i) in plain language; and

“(ii) additionally, in languages other than English that are common in the region, as determined by the Director in consultation with the governing board of the regional educational laboratory.

“(C) Providing technical assistance to local educational agencies and State educational agencies on—

“(i) the responsible use of artificial intelligence in educational settings;

“(ii) compliance, with respect to the use of artificial intelligence, with—

“(I) section 444 of the General Education Provisions Act (20 U.S.C. 1232g) (commonly known as the ‘Family Educational Rights and Privacy Act of 1974’); and

“(II) the Children’s Online Privacy Protection Act of 1998 (15 U.S.C. 6501 et seq.); and

“(iii) the adoption, where appropriate, of risk management practices consistent with the designated risk management framework (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026).”;

(2) in subsection (h)(1)(A)—

(A) by redesignating clauses (iv) through (viii) as clauses (v) through (ix), respectively; and

(B) by inserting after clause (iii) the following:

“(iv) includes—

“(I) experts in— “(aa) artificial intelligence ethics (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026); “(bb) artificial intelligence risk management, including experts in risk management practices consistent with the designated risk management framework (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act); and

“(cc) the privacy requirements under—

“(AA) section 444 of the General Education Provisions Act (20 U.S.C. 1232g) (commonly known as the ‘Family Educational Rights and Privacy Act of 1974’); and

“(BB) the Children’s Online Privacy Protection Act of 1998 (15 U.S.C. 6501 et seq.); and

“(II) representatives of— “(aa) workers in artificial intelligence- augmented occupations (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026); and “(bb) employers of such workers.”.

SEC. 109. AUTHORIZATION OF APPROPRIATIONS.

There is authorized to be appropriated $350,000,000 for each of fiscal years 2027 through 2031 to carry out this title.

TITLE II—WORKFORCE DEVELOPMENT AND RESKILLING INITIATIVES

SEC. 201. NATIONAL ARTIFICIAL INTELLIGENCE WORKFORCE STRATEGY.

(a) Development.—Not later than 1 year after the date of the enactment of this Act, the Secretary of Labor, in consultation with the Secretary of Education, the Secretary of Commerce, the Director of the National Science Foundation, and the Director of the Office of Science and Technology Policy, shall develop and publish a National Artificial Intelligence Workforce Strategy (in this subtitle referred to as the “Strategy”).

(b) Contents.—The Strategy shall—

(1) analyze the impacts of artificial intelligence on the labor market;

(2) evaluate existing gaps in Federal labor market data products and external data collection activities with regard to artificial intelligence-augmented occupations, including such gaps related to—

(A) real-time employer demand for work, including such demand related to relevant skills and tasks;

(B) barriers to hiring difficulties associated with such skills and tasks described in subparagraph (A);

(C) relational data between labor market outcomes and employee cognitive and non-cognitive ability, knowledge, and occupation-specific skills;

(D) standardized, timely, and longitudinal data on occupational tasks, including such data on overall change in how tasks are performed by individual workers;

(E) the granularity of information collected by Federal business surveys for the purposes of determining the impact of new technologies on labor market outcomes, including information about—

(i) the types of technology used by businesses; and

(ii) the tasks performed by individual technologies used by businesses; and

(F) the vulnerability of particular occupations to automation, displacement, or reinstatement as a consequence of the adoption of artificial intelligence;

(3) make such recommendations and implementation plans as may be necessary to mitigate the gaps described in paragraph

(2), including by—

(A) incorporating additional questions into existing Federal labor market and business surveys, including questions—

(i) related to occupational tasks and skills; and

(ii) designed to categorize technologies that are adopted or purchased by businesses;

(B) increasing the frequency with which existing Federal labor market surveys are conducted;

(D) standardizing the production schedule of Federal labor market surveys for the purposes of evaluating changes to skills and tasks performed over time;

(E) producing public statistical estimates of occupational vulnerability to automation, displacement, or reinstatement of labor to complement direct measurement data of tasks performed by humans and machines within individual businesses; or

(F) such other recommendations and implementation plans as the Secretary of Labor determines necessary;

(4) analyze the effects of infrastructure related to artificial intelligence on local labor markets and environmental conditions in covered communities (as defined in section 401);

(5) identify the skills necessary for work in an artificial intelligence-augmented occupation, including with regard to—

(A) such skills necessary for work in individual sectors listed on the Occupational Information Network of the Employment and Training Administration of the Department of Labor; and

(B) such skills necessary for work across sectors listed on the Occupational Information Network of the Employment and Training Administration of the Department of Labor;

(6) identify the occupations most in need of updates on the Occupational Information Network of the Employment and Training Administration of the Department of Labor;

(7) recommend standards for interoperability between—

(A) workforce data systems;

(B) educational credentials; and

(8) set national objectives for—

(A) workforce participation;

(B) reskilling rates; and

(C) improved access to and participation in artificial intelligence-augmented occupations by individuals from underserved communities.

(d) Publication.—Not later than 30 days after the date of publication of such Strategy or updated Strategy, the Secretary of Labor shall submit to the Committee on Education and Workforce of the House of Representatives and the Committee on Health, Education, Labor, and Pensions of the Senate—

(1) the initial Strategy under subsection (a); and

(2) each updated Strategy under subsection (c).

SEC. 202. ARTIFICIAL INTELLIGENCE WORKFORCE AND INDUSTRY COORDINATION COUNCIL.

(a) Establishment.—The Secretary of Labor, in consultation with the Secretary of Commerce and the Secretary of Education, shall establish an advisory committee to be known as the Artificial Intelligence Workforce and Industry Coordination Council (in this section referred to as the “Council”). Not later than 30 days after completing each update to the Strategy under section 201(c), the Secretary of Labor shall—

(1) evaluate the effectiveness of the Council in carrying out its duties under subsection (b); and

(2) submit to the Committee on Education and Workforce of the House of Representatives and the Committee on Health, Education, Labor, and Pensions of the Senate a report on such evaluations, including any recommendations for changes to the Council’s membership, duties, structure, or renewal.

(b) Duties.—The Council shall—

(1) advise the Secretary of Labor on the development, updating, and implementation of the National Artificial Intelligence Workforce Strategy under section 201;

(2) recommend methods for increasing access to and participation in education, training, and reskilling opportunities related to artificial intelligence for individuals from underserved communities, including such communities with historically limited access to resources necessary to develop skills and platforms related to artificial intelligence;

(3) advise Federal agencies on aligning education and workforce development programs administered by such agencies with the needs of workers in artificial intelligence-impacted industries and artificial intelligence-augmented occupations;

(4) identify sector-specific frameworks for skill development that emphasize—

(A) critical thinking;

(B) artificial intelligence ethics; and

(C) the need to ensure that a human retains oversight and decision-making authority over outputs generated by artificial intelligence;

(5) develop guidelines for partnerships between educational institutions and employers in artificial intelligence-impacted industries for the purpose of designing, delivering, and scaling workforce training aligned to artificial intelligence- augmented occupations; and

(6) publish an annual report summarizing the Council’s work.

(1) Number and appointment.—The Council shall be composed of not more than 23 members as follows:

(A) Not more than 5 members who are representatives of employers or employer associations in artificial intelligence-impacted industries, excluding artificial intelligence developers, artificial intelligence integrators, and artificial intelligence deployers, appointed by the Secretary of Labor from among sectors including manufacturing, health care, agriculture, energy, transportation, construction, financial services, and other sectors the Secretary determines are artificial intelligence-impacted industries, provided that—

(i) no more than 1 such member may represent employers or employer associations at any given time;

(ii) members appointed under this subparagraph shall serve staggered 3-year terms, as determined by the Secretary; and

(iii) not later than 30 days after completing each update to the Strategy under section 201(c), the Secretary shall—

(I) review empirical evidence regarding which industries qualify as artificial intelligence-impacted industries, including labor market data, the list published under section 4, and the Strategy;

(II) update the sectors from which members are appointed under this subparagraph to reflect such evidence; and

(III) if such review identifies an industry sector that has qualified as an artificial intelligence-impacted industry and is not represented among the members appointed under this subparagraph, appoint not more than 2 additional members representing such sector, provided that the total number of members appointed under this subparagraph shall not exceed 7, and provided further that any such additional member shall serve until the next vacancy occurring among members appointed under this subparagraph, at which point such vacancy shall be filled by a representative of such newly identified sector.

(B) Not more than 3 members who are representatives of labor organizations, as defined in section 2 of the National Labor Relations Act (29 U.S.C. 152), or organizations that represent employees of a State or local government, or a political subdivision thereof, including joint labor-management partnerships.

(C) Not more than 2 members who are representatives of a State workforce board, local workforce board, or public sector workforce entity.

(D) Not more than 5 members from institutions of higher education, provided that such members shall collectively reflect diversity across institution type, including—

(i) community colleges and junior colleges;

(ii) 4-year colleges and universities;

(iii) technical and career and technical education institutions;

(iv) minority-serving institutions, including Historically Black Colleges and Universities, Tribal Colleges and Universities, Hispanic-Serving Institutions, and Alaska Native and Native Hawaiian-Serving institutions; and

(v) institutions located in rural areas, as defined in section 3 of this Act;

(E) Not more than 3 members from nonprofit organizations, provided that no more than 1 such member may represent the following entities, of whom—

(i) shall represent a nonprofit organization specializing in artificial intelligence ethics;

(ii) shall represent a nonprofit organization specializing in artificial intelligence accessibility; and

(iii) shall represent a nonprofit organization or community-based organization specializing in workforce equity, including direct services to workers who have been displaced from, or are at risk of displacement from, employment due to artificial intelligence.

(F) Not more than 3 members of whom—

(i) not more than 1 shall represent an artificial intelligence developer;

(ii) not more than 1 shall represent an artificial intelligence integrator; and

(iii) not more than 1 shall represent an artificial intelligence deployer, as defined in section 3 of this Act, each of whom shall be a non-voting member.

(2) Rotation.—

(A) In general.—In making appointments to fill vacancies among members described in subparagraphs (B) through (E) of paragraph (1), the Secretary shall seek to ensure that, for each such subparagraph—

(i) the members collectively reflect diversity across the eligible entities for membership described in such subparagraph, as applicable; and

(ii) no single entity, organization, or company serves consecutive terms in the same membership seat, except where the Secretary determines that no other qualified candidate is available.

(B) Additional considerations.—In carrying out subparagraph (A), the Secretary shall additionally seek to ensure—

(i) for members described in paragraph

(1)(B), diversity among the type of labor organization represented, including industrial, craft, public sector, and service sector unions and joint labor-management partnerships, and diversity in the size and geographic location of the workforce represented;

(ii) for members described in paragraph

(1)(C), representation across each of the institution types described in clauses (i) through (v) of paragraph (1)(C) over successive appointment cycles; and

(iii) for members described in paragraph

(1)(D), that no more than 1 member at any given time represents a nonprofit organization whose primary specialty is the same as that of another sitting member appointed under such paragraph.

(3) Terms.—

(A) In general.—Except as provided in paragraph

(1)(A)(ii), members of the Council shall serve staggered 3-year terms, as determined by the Secretary of Labor.

(B) Vacancies.—A vacancy on the Council shall be filled in the same manner as the original appointment and shall not affect the duties of the Council.

(4) Subcommittees.—The Council may establish such subcommittees of the Council as the members of the Council determine appropriate, except that no more than 1 member described in paragraph (1)(E) may serve on any subcommittee of the Council.

SEC. 203. STATE ARTIFICIAL INTELLIGENCE WORKFORCE IMPLEMENTATION PLANS.

(a) Development.—Each State board shall develop a State Artificial Intelligence Workforce Implementation Plan (in this section referred to as a “Plan”) consistent with the National Artificial Intelligence Workforce Strategy under section 201.

(b) Contents.—Each Plan shall—

(1) identify key artificial intelligence-augmented occupations within the State;

(2) identify targets for artificial intelligence reskilling within the State; and

(3) be included as part of the Unified State Plan, as described in section 676.105 of title 20, Code of Federal Regulations (or successor regulations).

SEC. 204. GRANT PROGRAM FOR ARTIFICIAL INTELLIGENCE APPRENTICESHIPS AND PRE-APPRENTICESHIPS.

(a) Establishment.—The Secretary of Labor, acting through the Administrator of the Office of Apprenticeship, shall establish a program to award grants on a competitive basis to sponsors or sponsor partnerships between eligible entities to support apprenticeships in artificial intelligence-impacted industries to—

(1) develop learning standards for such apprenticeships;

(2) develop instructional materials for use within such apprenticeships on—

(A) artificial intelligence ethics;

(B) algorithmic bias; and

(3) provide supportive services (as defined in section 3 of the Workforce Innovation and Opportunity Act (29 U.S.C. 3102(59))) for participants in such apprenticeships, including—

(A) reimbursement or stipends for child care expenses incurred by participants during the period of such apprenticeship; and

(B) reimbursement or stipends for transportation expenses incurred by participants during the period of such apprenticeship; and

(4) provide training to supervisors of apprentices including—

(A) inclusive mentorship practices; and

(B) methods to ensure that a human retains oversight and decision-making authority over outputs generated by artificial intelligence.

(b) Eligible Entities.—In this section, the term “eligible entities” means any of the following entities, or a partnership of 2 or more of the following entities, provided that no fewer than 1 of such entities be representatives of entities listed in paragraphs (1) through (4):

(1) an institution of higher education.

(2) an area career and technical education school.

(3) a State or local education board.

(4) a State or local workforce board.

(5) an employer-related nonprofit organization.

(6) a workforce intermediary.

(7) an employer or employer consortia.

(8) an industry or sector partnership.

(1) active recruitment of apprentices from underserved communities;

(2) partnerships with community-based organizations, workforce development boards, or educational institutions serving underserved communities (as defined in section 3 of this Act); or

(3) the provision of support services for apprentices from underserved communities, including the support services described in subsection (a)(3).

(d) Pre-Apprenticeships and Youth Apprenticeships.—

(1) Grants authorized.—In addition to grants awarded under subsection (a), the Secretary of Labor, acting through the Administrator of the Office of Apprenticeship, shall award grants on a competitive basis to State apprenticeship agencies or apprenticeship intermediaries, as determined by the Secretary, to develop artificial intelligence-related pre- apprenticeship and youth apprenticeship programs in artificial intelligence-impacted industries.

(2) Authorized uses of funds.—A grantee receiving a grant under this subsection may use such grant to—

(A) develop curriculum and instructional materials for pre-apprenticeship programs that prepare individuals for entry into registered apprenticeships in artificial intelligence-impacted industries;

(B) develop learning standards for youth apprenticeship programs aligned with artificial intelligence-augmented occupations;

(C) provide outreach and recruitment services to individuals from underserved communities to encourage participation in pre-apprenticeship and youth apprenticeship programs; and

(D) provide support services as described in subsection (a)(3), where appropriate, to participants in such programs.

(3) Priority.—In awarding grants under this subsection, the Secretary shall give priority to State apprenticeship agencies and intermediaries that demonstrate partnerships with—

(A) registered apprenticeship sponsors receiving grants under subsection (a); and

(B) local educational agencies or institutions of higher education serving underserved communities.

(e) Program Requirements.—Each partnership receiving a grant under subsection (a) and each grantee receiving a grant under subsection (c) shall—

(1) in the case of a partnership supporting a registered apprenticeship, register any new apprenticeship occupation or update any existing apprenticeship standard in accordance with parts 29 and 30 of title 29, Code of Federal Regulations (or any successor regulation);

(2) ensure that related instruction and credentials earned through programs funded under this section are designed to be transferable toward a recognized postsecondary credential, consistent with the requirements of the Higher Education Act; and

(3) report participant outcomes to the Secretary of Labor using Standard Occupational Classification codes, consistent with the reporting requirements under section 101(e)(2) of this Act.

(f) Reports.—

(1) Partnership reports.—Not later than 1 year after the date on which such grant is awarded and annually thereafter during the period of such grant, each partnership receiving a grant under this section shall submit to the Secretary of Labor a report describing the activities undertaken and outcomes achieved by such sponsor using such grant during the 1-year period covered by such report.

(2) Reports to congress.—Not later than 1 year after the date of the enactment of this Act and annually thereafter, the Secretary of Labor shall submit to Congress a report describing the grants awarded under this section during the 1-year period covered by such report and the outcomes achieved during such 1- year period by partnerships receiving such grants.

(g) Compliance.—Each partnership receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 205. GRANT PROGRAM FOR ARTIFICIAL INTELLIGENCE RESKILLING.

(a) Program Authorized.—The Secretary of Labor, in consultation with the Secretary of Education, shall establish a program to award grants on a competitive basis to eligible entities to develop and implement artificial intelligence reskilling programs.

(b) Eligible Entity.—In this section, the term “eligible entity” means—

(1) a local board;

(2) a State board;

(3) a junior or community college;

(4) an employer that employs, or seeks to employ, workers in artificial intelligence-augmented occupations or artificial intelligence-impacted industries;

(5) an industry or sector partnership including employers representing artificial intelligence-augmented occupations or artificial intelligence-impacted industries;

(6) a joint labor-management partnership representing workers in artificial intelligence-augmented occupations or artificial intelligence-impacted industries;

(7) a nonprofit organization that provides or has expertise in workforce development services to workers in artificial intelligence-augmented occupations, artificial intelligence- impacted industries, or underserved communities;

(8) an institution of higher education with demonstrated expertise in workforce development, reskilling, or training program design and implementation, with regard to such program design and implementation for adult learner populations; or

(9) a consortium of 2 or more entities described in paragraphs (1) through (8).

(c) Application Requirements.—An eligible entity applying for a grant under this section shall describe how such eligible entity plans to ensure equitable access to programs developed by such eligible entity using such grant, including by—

(1) designing such programs to include participants with minimal exposure or access to, or adoption of, artificial intelligence models or systems as such models or systems relate to educational opportunities or skill development; and

(2) seeking to maximize access by the participants described in paragraph (1) to such programs.

(d) Priority.—In awarding a grant under this section, the Secretary of Labor shall prioritize an eligible entity that seeks to develop and implement an artificial intelligence reskilling program that serves or focuses on—

(1) an underserved community;

(2) in-demand or emerging roles and skills, as determined by the Secretary of Labor; or

(3) incumbent workers (as defined in section 680.780 of title 20, Code of Federal Regulations (or successor regulations)) in an artificial intelligence-impacted industry.

(e) Use of Funds.—An eligible entity may use a grant awarded under this section for the following:

(1) Designing and disseminating model curricula and training materials for artificial intelligence reskilling—

(A) in multiple languages;

(B) in accessible formats; and

(2) Providing training for faculty of an artificial intelligence reskilling program conducted by such entity on—

(A) artificial intelligence ethics; and

(B) artificial intelligence accessibility.

(3) Providing participants in artificial intelligence reskilling programs conducted by such entity with—

(A) stipends to defray such expenses incurred by such participants with regard to participation in such reskilling programs;

(B) wage subsidies to participating employers with regard to on-the-job training related to such reskilling programs;

(D) transportation;

(E) internet access;

(F) assistive technology;

(G) internship placements; and

(H) career navigation support.

(f) Reports.—

(1) Eligible entity reports.—Not later than 1 year after the date on which such grant is awarded and annually thereafter during the period of such grant, each eligible entity receiving a grant under this section shall submit to the Secretary of Labor a report describing the activities undertaken and outcomes achieved by such eligible entity using such grant during the 1-year period covered by such report.

(g) Compliance.—Each eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 206. FELLOWSHIP PROGRAM FOR ARTIFICIAL INTELLIGENCE EDUCATION AND PUBLIC SERVICE.

(a) Establishment.—The Secretary of Labor, in consultation with the Secretary of Education and the Director of the National Science Foundation, shall establish a program to award grants to eligible entities to provide fellowships to—

(1) educators in elementary, secondary, or postsecondary education seeking to gain applied experience in artificial intelligence ethics and artificial intelligence governance; and

(2) employees of Federal, State, and local governments seeking to develop policymaking capacity related to—

(A) artificial intelligence governance; and

(B) artificial intelligence risk management.

(b) Eligible Entity.—In this section, the term “eligible entity” means—

(1) a State agency;

(2) an institution of higher education; and

(3) a nonprofit research organization.

(1) have a duration of not less than 6 and not more than 24 months;

(2) include training on—

(A) the responsible use of artificial intelligence;

(B) data governance, including the responsible collection, storage, management, and sharing of data used in artificial intelligence systems, consistent with applicable Federal privacy and data security law; and

(3) result in the publication of a report or other output that demonstrates the application of artificial intelligence in—

(A) education; or

(B) the workforce.

(d) Interagency Placements.—The Secretary of Labor, in consultation with the Secretary of Education and the Director of the National Science Foundation, may enter into interagency agreements with Federal agencies to place fellowship recipients described in subsection

(a)(2) with such agencies for the purpose of developing policymaking capacity related to artificial intelligence in education and the workforce.

(e) Reports.—

(1) Eligible entity reports.—Not later than 1 year after the date on which such grant is awarded and annually thereafter during the period of such grant, each eligible entity receiving a grant under this section shall submit to the Secretary of Labor a report describing with respect to the 1-year period covered by such report—

(A) the fellowships awarded by such eligible entity using such grant;

(B) the outcomes achieved by such fellowships; and

(C) in the case of fellowships involving placements with Federal agencies pursuant to subsection (d), the nature of such placements and a summary of the activities conducted during such placements.

(2) Reports to congress.—Not later than 1 year after the date of the enactment of this Act and annually thereafter, the Secretary of Labor shall submit to Congress a report describing the grants awarded under this section during the 1-year period covered by such report, the outcomes achieved during such 1- year period by eligible entities receiving such grants, and any interagency placements carried out under subsection (d).

(f) Compliance.—Each eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 207. ARTIFICIAL INTELLIGENCE ACCESSIBILITY.

(a) Artificial Intelligence Accessibility.—Section 101(a) of the Rehabilitation Act of 1973 (29 U.S.C. 721(a)) is amended by adding at the end the following:

“(27) Artificial intelligence accessibility.—The State plan shall describe how the State vocational rehabilitation program will—

“(A) enable individuals with disabilities to—

“(i) use artificial intelligence; and

“(ii) participate in artificial intelligence-augmented occupations; and

“(B) provide training to employers regarding—

“(i) artificial intelligence accessibility; and

“(ii) accommodations in the use of artificial intelligence in the workplace.”.

(b) Artificial Intelligence Accessibility Technical Assistance Center.—Section 302(g) of such Act (29 U.S.C. 772(g)) is amended—

(1) in paragraph (1), by striking “Technical assistance” in the heading and inserting “In general”;

(2) by redesignating paragraph (2) as paragraph (4); and

(3) by inserting after paragraph (1) the following:

“(2) Artificial intelligence accessibility.—The Commissioner, in consultation with the Director of the National Institute on Disability, Independent Living, and Rehabilitation Research, the Director of the National Institute of Standards and Technology, and the Assistant Secretary of Education for the Office of Special Education and Rehabilitative Services shall provide technical assistance to State vocational rehabilitation agencies, employers, and workforce development entities on artificial intelligence accessibility in the workforce, including with respect to—

“(A) accessible design and inclusive deployment of artificial intelligence systems in workplace settings;

“(B) accommodations for individuals with disabilities in artificial intelligence-augmented occupations; and

“(C) implementation of State plans under paragraph

(27) of section 101(a), as added by subsection (a) of this section.

“(3) External solicitation.—In providing the technical assistance described in paragraph (3), the Commissioner shall solicit from external entities such information and input as may be necessary to ensure that such technical assistance includes substantive guidance related to consideration of disabilities and employer use of artificial intelligence as it relates to the hiring, monitoring, or disciplining of employees.”.

SEC. 208. ARTIFICIAL INTELLIGENCE RESKILLING TAX CREDIT.

(a) In General.—Subpart D of part IV of subchapter A of chapter 1 of the Internal Revenue Code of 1986 is amended by adding at the end the following new section:

“SEC. 45BB. ARTIFICIAL INTELLIGENCE RESKILLING CREDIT.

“(a) In General.—For purposes of section 38, the artificial intelligence reskilling credit determined under this section for any taxable year is an amount equal to 40 percent of the qualified expenses of the employer taxpayer for the taxable year.

“(b) Limitation.—The amount of the credit allowed under subsection (a), with respect to an employer, for any taxable year shall not exceed—

“(1) $250,000 in the case of a taxpayer with gross receipts less than $25,000,000 for such taxable year, and

“(2) $1,000,000 in the case of any other taxpayer.

“(c) Qualified Expenses.—For purposes of this section—

“(1) In general.—The term ‘qualified expenses’ means amounts paid or incurred by the taxpayer for participation by an employee of the taxpayer in a qualified training program, reduced by any amounts paid or incurred using funds provided under a grant awarded under the Artificial Intelligence Education and Workforce Readiness Act of 2026.

“(2) Qualified training program.—The term ‘qualified training program’ means—

“(A) a reskilling program under section 205 of the Artificial Intelligence Education and Workforce Readiness Act of 2026,

“(B) a program of training services which is listed under section 122(d) of the Workforce Innovation and Opportunity Act (29 U.S.C. 3152(d)),

“(C) an apprenticeship program under section 204 of the Artificial Intelligence Education and Workforce Readiness Act of 2026,

“(D) a program which is sponsored and administered by an employer, industry trade association, industry or sector partnership, or labor organization,

“(E) any substantially equivalent reskilling program, as determined by the Secretary of Labor or that provides industry-recognized postsecondary credentialing.

“(d) Election To Apply Credit Against Payroll Taxes.—

“(1) In general.—At the election of a qualified small business or a qualified tax-exempt organization (as defined in section 3111(e)(5)(A)) for any taxable year, section 3111(g) shall apply to the payroll tax credit portion of the credit otherwise determined under subsection (a) for the taxable year and such portion shall not be treated (other than for purposes of section 280C) as a credit determined under subsection (a).

“(2) Payroll tax credit portion.—For purposes of this subsection, the payroll tax credit portion of the credit determined under subsection (a) with respect to any qualified small business or qualified tax-exempt organization for any taxable year is the least of—

“(A) the amount specified in the election made under this subsection,

“(B) the credit determined under subsection (a) for the taxable year (determined before the application of this subsection), or

“(C) in the case of a qualified small business other than a partnership or S corporation, the amount of the business credit carryforward under section 39 carried from the taxable year (determined before the application of this subsection to the taxable year).

“(3) Qualified small business.—For purposes of this subsection—

“(A) In general.—The term ‘qualified small business’ means, with respect to any taxable year—

“(i) a corporation or partnership with the gross receipts (as determined under the rules of section 448(c)(3), without regard to subparagraph (A) thereof), of such entity for the taxable year is less than $5,000,000, and

“(ii) any person who meets the requirements of clause (i), determined—

“(I) by substituting ‘person’ for ‘entity’, and

“(II) by only taking into account the aggregate gross receipts received by such person in carrying on all trades of business of such person.

“(B) Limitation.—Such term shall not include an organization which is exempt from taxation under section 501.

“(4) Election.—

“(A) In general.—Any election under this subsection for any taxable year—

“(i) shall specify the amount of the credit to which such election applies,

“(ii) shall be made on or before the due date (including extensions) of—

“(I) in the case of a partnership, the return required to be filed under section 6031,

“(II) in the case of an S corporation, the return required to be filed under section 6037, and

“(III) in the case of any other qualified small business or qualified tax-exempt organization, the return of tax for the taxable year, and

“(iii) may be revoked only with the consent of the Secretary.

“(B) Limitation.—The amount specified in any election made under this subsection shall not exceed $250,000.

“(C) Special rule for partnerships and s corporations.—In the case of a partnership or S corporation, the election made under this subsection shall be made at the entity level.

“(5) Aggregation rules.—

“(A) In general.—Except as provided in subparagraph (B)—

“(i) all members of the same controlled group of corporations shall be treated as a single taxpayer, and

“(ii) all trades or businesses (whether or not incorporated) which are under common control shall be treated as a single taxpayer.

“(B) Special rules.—For purposes of this subsection and section 3111(g)—

“(i) each of the persons treated as a single taxpayer under subparagraph (A) may separately make the election under paragraph

(1) for any taxable year, and

“(ii) the $250,000 amount under paragraph

(3)(B) shall be allocated among all persons treated as a single taxpayer under subparagraph

(A) in the manner provided by the Secretary which is similar to the manner provided under section 41(f)(1).

“(6) Regulations.—The Secretary shall prescribe such regulations as may be necessary to carry out the purposes of this subsection, including—

“(A) regulations to prevent the avoidance of the purposes of the limitations and aggregation rules under this subsection,

“(B) regulations to minimize compliance and record keeping burdens under this subsection,

“(C) regulations for recapturing the benefit of credits determined under section 3111(g) in cases where there is a recapture or a subsequent adjustment to the payroll tax credit portion of the credit determined under subsection (a), including requiring amended income tax returns in the cases where there is such an adjustment, and

“(D) regulations to require the collection and reporting of demographic information with respect to the race, ethnicity, and gender of the individuals with respect to whom a taxpayer makes qualified expenses for which a credit is allowed under this section.

“(e) Denial of Double Benefit.—No deduction or credit shall be allowed under any other provision of this chapter with respect to the amount of the credit determined under this section.

“(f) Treatment of Related Parties.—All persons which are treated as a single employer under subsections (a) and (b) of section 52 shall be treated as a single taxpayer for purposes of this section.

“(g) Regulations.—The Secretary, in consultation with the Secretary of Labor, shall issue such regulations or other guidance, including regulations or other guidance prescribing procedures for the verification of qualified training programs, as may be necessary or appropriate to carry out the purposes of this section.”.

(b) Conforming Amendments.—Section 38(b) of such Code is amended—

(1) in paragraph (40), by striking “plus” at the end,

(2) in paragraph (41), by striking the period at the end and inserting “, plus”, and

(3) by adding at the end the following new paragraph:

“(42) the artificial intelligence reskilling credit determined under section 45BB(a).”.

(c) Clerical Amendment.—The table of sections for subpart D of part IV of subchapter A of chapter 1 of such Code is amended by adding at the end the following new item:

“Sec. 45BB. Artificial intelligence reskilling credit.”.

(d) Effective Date.—The amendments made by this section shall apply to taxable years beginning after December 31, 2026.

SEC. 209. REPORTING ON DISPLACEMENT AND RESKILLING.

(a) In General.—Each recipient of a grant under section 204 or 205 shall submit to the Secretary of Labor, on an annual basis, a report that—

(1) identifies any projected or actual displacement of workers resulting from the deployment of artificial intelligence within the recipient’s operations;

(2) describes reskilling or retraining activities undertaken in response to displacement identified in paragraph

(1), including the numbers of workers served and placement outcomes; and

(3) details reemployment rates and wage changes for workers described in paragraph (1), disaggregated by Standard Occupational Classification code, geography, and demographic group.

(b) Public Disclosure.—The Secretary of Labor shall publish a summary of the data collected under subsection (a), aggregated at the State level and not personally identifiable.

SEC. 210. AUTHORIZATION OF APPROPRIATIONS.

There is authorized to be appropriated $450,000,000 for each of fiscal years 2027 through 2031 to carry out this title.

TITLE III—EQUITABLE ACCESS TO ARTIFICIAL INTELLIGENCE IN EDUCATION AND CAREERS

SEC. 301. GRANT PROGRAM FOR EQUITABLE ACCESS TO ARTIFICIAL INTELLIGENCE EDUCATION.

(a) Establishment.—The Secretary of Education, in consultation with the Secretary of Labor, shall establish a program to award grants on a competitive basis to eligible consortia to promote equitable access to artificial intelligence education in—

(1) elementary schools;

(2) secondary schools; and

(3) institutions of higher education.

(b) Eligible Consortium.—In this section, the term “eligible consortium” means a consortium consisting of 2 or more of the following:

(1) A local educational agency.

(2) A State educational agency.

(3) A public library or public library system.

(4) A museum, as defined in section 273 of the Museum and Library Services Act (20 U.S.C. 9172).

(5) Any other entity that demonstrates expertise in creating accessible educational materials related to digital literacy.

(1) Developing curricula to increase artificial intelligence literacy.

(2) Translating curricula developed under paragraph (1) into the 5 languages other than English most common among students, as determined by the Commissioner for Education Statistics.

(3) Conducting public awareness campaigns on artificial intelligence safety and artificial intelligence ethics directed at educators, families, and communities served by such eligible consortium.

(4) Providing training on the teaching of artificial intelligence literacy to teachers and librarians from such eligible consortium.

(d) Reports.—

(1) Eligible consortium reports.—Not later than 1 year after the date on which such grant is awarded and annually thereafter during the period of such grant, each eligible consortium receiving a grant under this section shall submit to the Secretary of Education a report describing with respect to the 1-year period covered by such report—

(A) the curricula developed by such eligible consortium using such grant;

(B) the extent to which such curricula are multilingual and accessible;

(D) any feedback received by such eligible consortium regarding the effectiveness of such curricula.

(2) Reports to congress.—Not later than 1 year after the date of the enactment of this Act and annually thereafter, the Secretary of Education shall submit to Congress a report describing the grants awarded under this section during the 1- year period covered by such report and the outcomes achieved during such 1-year period by eligible consortia receiving such grants.

(e) Compliance.—Each eligible consortium receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 302. GRANT PROGRAM FOR CAPACITY-BUILDING IN MINORITY-SERVING INSTITUTIONS.

(a) Establishment.—The Secretary of Education shall establish a program to award grants on a competitive basis to eligible entities to develop capacity for artificial intelligence education and research.

(b) Eligible Entity.—In this section, the term “eligible entity” means—

(1) an institution specified in section 371(a) of the Higher Education Act of 1965 (20 U.S.C. 1067q(a)); or

(2) a consortium consisting of 2 or more institutions described in paragraph (1).

(c) Priority.—In awarding a grant under this section, the Secretary of Education shall prioritize an eligible entity that—

(1) intends to match funds received under such grant with funds received from other sources;

(2) has established partnerships with—

(A) an employer;

(B) a local board; or

(3) demonstrates intent to include in activities carried out using a grant awarded under this section—

(A) women students;

(B) first-generation college students (as such term is defined in section 318 of the Higher Education Act of 1965 (20 U.S.C. 1059e)); and

(d) Use of Funds.—An eligible entity may use a grant awarded under this section for the following:

(1) Establishing interdisciplinary artificial intelligence research centers focused on—

(A) artificial intelligence ethics;

(B) education; and

(2) Developing curricula and certificate programs in—

(A) artificial intelligence;

(B) data science; and

(3) Providing training to faculty of such eligible entity on—

(A) the responsible use of artificial intelligence; and

(B) inclusive pedagogy.

(4) Establishing incubator programs for student projects serving underserved communities.

(5) Developing joint research programs and student internship programs with employers.

(e) Reports.—

(1) Eligible entity reports.—Not later than 1 year after the date on which such grant is awarded and annually thereafter during the period of such grant, each eligible entity receiving a grant under this section shall submit to the Secretary of Education a report describing the activities undertaken and outcomes achieved by such eligible entity using such grant during the 1-year period covered by such report.

(f) Compliance.—Each eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 303. MINORITY-SERVING INSTITUTIONS.

(a) Grants to Historically Black Colleges and Universities.— Section 323(a) of the Higher Education Act of 1965 (20 U.S.C. 1062(a)) is amended—

(1) by redesignating paragraph (15) as paragraph (16); and

(2) by inserting after paragraph (14) the following:

“(15) Establishing or expanding programs in artificial intelligence and data science that include education in artificial intelligence ethics and artificial intelligence accessibility (as such terms are defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026).”.

(b) Artificial Intelligence in Tribal Colleges and Universities.— Section 316(c)(2) of such Act (20 U.S.C. 1059c(c)(2)) is amended—

(1) in subparagraph (M), by striking “and” at the end;

(2) by redesignating subparagraph (N) as subparagraph (O); and

(3) by inserting after subparagraph (M) the following:

“(N) developing curricula related to artificial intelligence (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026) that respect tribal cultural knowledge and data governance principles; and”.

(c) Grants to Hispanic-Serving Institutions of Higher Education.— Section 503(b) of such Act (20 U.S.C. 1101b(b)) is amended—

(1) by redesignating paragraph (16) as paragraph (17); and

(2) by inserting after paragraph (15) the following:

“(16) Increasing capacity for education and research related to artificial intelligence (as defined in section 3 of the Artificial Intelligence Education and Workforce Readiness Act of 2026), including by providing training to faculty.”.

SEC. 304. GRANT PROGRAM FOR ARTIFICIAL INTELLIGENCE CAREER EQUITY.

(a) Program Authorized.—The Secretary of Education shall establish a program to award grants on a competitive basis to eligible entities to assist individuals from underserved communities in pursuing—

(1) artificial intelligence-disrupted career pathways; and

(2) other training opportunities to prepare such individuals to enter artificial intelligence-augmented occupations.

(b) Eligible Entity.—In this section, the term “eligible entity” means—

(1) an institution specified in section 371(a) of the Higher Education Act of 1965 (20 U.S.C. 1067q(a)); and

(2) a consortium consisting of—

(A) an institution described in paragraph (1); and

(B) 1 or more—

(i) employers;

(ii) local boards;

(iii) industry or sector partnership; or

(iv) State boards.

(1) that is or includes an institution of higher education at which no less than 30 percent of students received a Federal Pell Grant under subpart 1 of part A of title IV of the Higher Education Act of 1965 (20 U.S.C. 1070a et seq.) for the academic year preceding the year in which such eligible entity submits an application for such grant; and

(2) that intends to collaborate with an employer or labor organization to provide internships or employment opportunities to individuals receiving support pursuant to such grant.

(d) Uses of Funds.—An eligible entity may use a grant awarded under this section for the following:

(1) Providing scholarships to individuals from underserved communities to defray the cost of tuition, fees, and expenses included in the cost of attendance, as defined in section 472 of the Higher Education Act of 1965 (20 U.S.C. 1087ll) for degrees or credential programs related to artificial intelligence-disrupted career pathways or artificial intelligence-augmented occupations.

(2) Providing such individuals with—

(A) childcare assistance;

(B) transportation assistance;

(D) internet access;

(E) internship placements in artificial intelligence-augmented occupations; and

(F) career navigation support.

(3) Training faculty of such eligible entity to integrate into artificial intelligence instruction content on—

(A) artificial intelligence ethics; and

(B) the humanities and social sciences.

(4) Establish mentorship networks to match such individuals with experienced employees in artificial intelligence-augmented occupations.

(5) Organize events to promote inclusive artificial intelligence employment practices.

(e) Grant Period.—A grant awarded to an eligible entity under this section shall be for a period of not longer than 5 years, which shall be renewable at the discretion of the Secretary of Education.

(f) Reports.—

(1) Eligible entity reports.—Not later than 1 year after the date on which such grant is awarded and annually thereafter during the period of such grant, each eligible entity receiving a grant under this section shall submit to the Secretary of Education a report describing with respect to the 1-year period covered by such report—

(A) the number of students supported by such grant;

(B) the percentage of such students who graduate from such eligible entity (or, in the case of an eligible entity that is a consortium, the institution of higher education within such consortium) within the expected period of graduation, as determined by such eligible entity; and

(C) the percentage of such participants who obtain employment, including employment in an artificial intelligence-augmented occupation, upon completion of such pathway, disaggregated by race, ethnicity, sex, disability status, Pell Grant recipient status, and first-generation college student status, consistent with data collected under the Integrated Postsecondary Education Data System.

(g) Compliance.—Each eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 305. PROGRAM FOR EQUITY IN ARTIFICIAL INTELLIGENCE-AUGMENTED OCCUPATIONS.

(a) Establishment.—The Secretary of Labor shall establish a program to promote and measure equitable participation in artificial intelligence-augmented occupations by—

(1) women;

(2) racial and ethnic minorities;

(3) individuals with disabilities;

(4) veterans; and

(5) individuals from—

(A) rural communities; and

(B) other underserved communities.

(b) Publication of Data.—Not later than 1 year after date of the enactment of this Act and annually thereafter, the Secretary of Labor, in consultation with the Equal Employment Opportunity Commission and the Secretary of Commerce, shall—

(1) establish measurable benchmarks for the recruitment, training, placement, retention, and advancement of individuals described in subsection (a) in artificial intelligence- disrupted career pathways and artificial intelligence-augmented occupations, based on—

(A) labor market data;

(B) demographic analyses; and

(2) publish measurements of progress toward the benchmarks established under paragraph (1), which shall—

(A) include—

(i) national data; and

(ii) State-level data for each State; and

(B) include only data that are—

(i) aggregated; and

(ii) not personally identifiable.

SEC. 306. MENTORSHIP NETWORKS IN ARTIFICIAL INTELLIGENCE-AUGMENTED OCCUPATIONS.

(a) In General.—The Secretary of Labor shall award competitive grants to eligible entities to develop mentorship, internship, and networking programs connecting individuals described in section 305(a) with employers, labor organizations, and academic institutions in artificial intelligence-impacted industries.

(b) Eligible Entity.—In this section, the term “eligible entity” means—

(1) a State or local workforce development board;

(2) a community college or 4-year institution of higher education;

(3) a nonprofit organization with demonstrated experience in diversity and workforce development; or

(4) a labor organization or joint labor-management partnership.

(1) establish mentorship networks pairing participants with professionals in artificial intelligence-impacted industries;

(2) provide stipends or travel support for participation in mentorship or networking activities;

(3) host regional workshops to promote the participation of individuals from underserved communities in artificial intelligence-augmented occupations; and

(4) evaluate program effectiveness using outcome measures consistent with section 305(b).

(d) Compliance.—An eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 307. GUIDANCE ON ARTIFICIAL INTELLIGENCE IN RECRUITMENT, TRAINING, AND PERFORMANCE EVALUATION.

Not later than 180 days after the date of the enactment of this Act, the Secretary of Labor, jointly with the Equal Employment Opportunity Commission, shall issue guidance to employers on—

(1) the use of artificial intelligence in recruitment, training, and performance evaluation of employees;

(2) employer liability under Federal employment laws for employment decisions made by or assisted by third-party artificial intelligence software; and

(3) adoption of the designated risk management framework with respect to such recruitment, training, and performance evaluation.

SEC. 308. AUTHORIZATION OF APPROPRIATIONS.

There is authorized to be appropriated $450,000,000 for each of fiscal years 2027 through 2031 to carry out this title.

TITLE IV—ACTIVITIES RELATED TO ARTIFICIAL INTELLIGENCE ENVIRONMENTAL IMPACTS

SEC. 401. DEFINITIONS.

(1) Artificial intelligence infrastructure operator.—The term “artificial intelligence infrastructure operator” means a person or entity that owns or operates a data center used substantially for the training, deployment, or operation of artificial intelligence.

(2) Covered community.—The term “covered community” means a geographic area in which artificial intelligence is sited, proposed to be sited, or under development.

(3) Federal nexus.—The term “Federal nexus” means, with respect to an artificial intelligence infrastructure operator, that such operator—

(A) receives Federal financial assistance for the construction or operation of infrastructure related to artificial intelligence; or

(B) operates infrastructure related to artificial intelligence pursuant to a permit, license, or other authorization issued by a Federal agency.

SEC. 402. WORKFORCE DEVELOPMENT FOR ENVIRONMENTAL ACCOUNTABILITY.

(a) Establishment.—The Secretary of Labor, in consultation with the Administrator of the Environmental Protection Agency, acting through the Director of the Office of Research and Development, the Director of the National Institute for Occupational Safety and Health of the Department of Health and Human Services, and the Director of the National Science Foundation, shall establish a program to award grants on a competitive basis to eligible entities to build capacity for the oversight of, and accountability regarding, the environmental impacts of infrastructure related to artificial intelligence.

(b) Eligible Entity.—In this section, the term “eligible entity” means—

(1) a State public utility commission or other State entity responsible for utility regulation;

(2) a State environmental agency;

(3) a unit of local government, including an entity responsible for planning, zoning, or permitting;

(4) a nonprofit organization with expertise in environmental justice or community advocacy;

(5) an institution of higher education; or

(6) a consortium of 2 or more entities described in paragraphs (1) through (5).

(c) Exclusion.—An artificial intelligence developer, artificial intelligence integrator, artificial intelligence deployer, or artificial intelligence infrastructure operator (as such terms are defined in section 3 of this Act and section 401) may not receive, or serve as a partner or subgrantee under, a grant awarded under this section.

(d) Use of Funds.—An eligible entity may use a grant awarded under this section for the following:

(1) Training for staff of a State public utility commission or other State entity responsible for utility regulation on evaluating the impacts of infrastructure related to artificial intelligence on—

(A) utility rates;

(B) electric grid capacity; or

(2) Training for staff of a State environmental agency on assessing land use, water withdrawal, and environmental permitting matters specific to infrastructure related to artificial intelligence.

(3) Training for staff of a unit of local government on evaluating and participating in permitting, zoning, and siting decisions with regard to infrastructure related to artificial intelligence.

(4) Capacity-building grants to nonprofit organizations for independent monitoring, public comment participation, and community education activities regarding the siting and permitting of infrastructure related to artificial intelligence.

(5) Training and credentialing for individuals to serve as independent auditors qualified to verify the accuracy of disclosures made under section 404.

(6) Curriculum development at institutions of higher education for the training of environmental policy analysts, public interest attorneys, and community planners on environmental and land use topics with regard to infrastructure related to artificial intelligence.

(e) Priority.—In awarding grants under this section, the Secretary of Labor shall give priority to eligible entities that serve or are located in a covered community, including such community that includes an underserved community.

(f) Reports.—

(1) Eligible entity reports.—Not later than 18 months after the date on which a grant is awarded under this section and every 2 years thereafter during the period of such grant, each eligible entity receiving such grant shall submit to the Secretary of Labor a report describing the activities undertaken and outcomes achieved by such eligible entity using such grant during the 2-year period covered by such report.

(2) Reports to congress.—Not later than 1 year after the date of the enactment of this Act and every 2 years thereafter, the Secretary of Labor shall submit to Congress a report describing the grants awarded under this section during the 2- year period covered by such report and the outcomes achieved during such 2-year period by eligible entities receiving such grants.

(g) Compliance.—Each eligible entity receiving a grant under this section shall be subject to the requirements under section 6.

SEC. 403. RESEARCH ON ENVIRONMENTAL IMPACTS OF ARTIFICIAL INTELLIGENCE.

(a) In General.—The Director of the National Science Foundation, in consultation with the Administrator of the Environmental Protection Agency, is authorized to award grants to, and enter into cooperative agreements with, institutions of higher education and nonprofit research organizations, or consortia thereof, to conduct research on—

(1) the environmental and public health impacts of infrastructure related to artificial intelligence on covered communities, including such communities that include underserved communities.

(2) the effects of the siting of infrastructure related to artificial intelligence on—

(A) local labor markets, including displacement of existing industries or land uses; and

(B) the availability and cost of water, energy, land and other natural resources for uses unrelated to artificial intelligence or infrastructure related to artificial intelligence; and

(3) environmental justice considerations associated with the siting of infrastructure related to artificial intelligence.

(b) Purpose.—Research conducted using a grant or cooperative agreement under this section shall be diagnostic or evaluative in nature and may not be used to design, optimize, or improve the operational efficiency of infrastructure related to artificial intelligence.

(c) Priority.—In awarding grants and entering into cooperative agreements under this section, the Director shall give priority to research proposals focused on a covered community that includes an underserved community, as determined by the Director.

(d) Dissemination.—The Director of the National Science Foundation shall make research findings supported under this section available to Centers established under section 107, consistent with the requirements of section 6.

(e) Compliance.—Each recipient of a grant or cooperative agreement under this section shall be subject to the requirements under section 6.

SEC. 404. COMMUNITY TRANSPARENCY AND ENVIRONMENTAL DISCLOSURE.

(a) Disclosure Required.—

(1) In general.—An artificial intelligence infrastructure operator with a Federal nexus shall, not later than the date on which such operator submits an application for Federal financial assistance or a Federal permit, license, or other authorization described in section 401(b)(3) for the construction of infrastructure related to artificial intelligence, provide to the covered community in which such infrastructure is sited or proposed to be sited—

(A) a summary, in plain language, of the projected annual energy consumption of such infrastructure;

(B) a summary, in plain language, of the projected annual water consumption of such infrastructure, including—

(i) the source of such water; and

(ii) the cooling methods used by such infrastructure;

(D) a point of contact for inquiries from members of such covered community regarding the information provided in subparagraphs (A) through (C), or such other information related to such infrastructure as may be requested by such members.

(2) Verification.—The projections required under subparagraphs (A) and (B) of paragraph (1) shall be verified by an individual credentialed as an independent auditor, including such auditors under a program supported by a grant under section 402, prior to disclosure under such paragraph;

(3) Updated disclosure.—Not later than 1 year after infrastructure described in paragraph (1) commences operation, and annually thereafter for a period of 5 years, the artificial intelligence infrastructure operator shall provide to the applicable covered community an updated disclosure comparing actual energy and water consumption to the projections disclosed under paragraph (1), verified in the manner described in paragraph (2).

(b) Federal Procurement.—In procuring or adopting artificial intelligence systems, each Federal agency shall consider the energy and water consumption associated with such systems, consistent with guidance issued by the Director of the Office of Management and Budget under this subsection.

(c) Guidance.—Not later than 1 year after the date of the enactment of this Act, the Director of the Office of Management and Budget shall issue guidance to Federal agencies to implement subsection

(b), including with respect to methods for evaluating the energy and water consumption associated with artificial intelligence systems consistent with the measurement standards developed under section 405.

(d) Enforcement.—

(1) Ineligibility.—An artificial intelligence infrastructure operator that fails to comply with subsection

(a) shall be ineligible to receive Federal financial assistance for infrastructure related to artificial intelligence for a period of not less than 1 year, as determined by the head of the Federal agency providing such assistance.

(2) Referral.—In the case of a material failure to comply with subsection (a), including the knowing provision of false or misleading information under paragraph (1) or (3) of such subsection, the head of the relevant Federal agency shall refer such failure to the Inspector General of such agency for further action consistent with applicable law.

SEC. 405. MEASUREMENT STANDARDS.

(a) NIST Measurement Standards.—

(1) In general.—Not later than 1 year after the date of the enactment of this Act, the Director of the National Institute of Standards and Technology shall develop measurement standards for evaluating the energy and water consumption associated with the operation of artificial intelligence systems, including infrastructure related to artificial intelligence, at the level of an individual query, task, or inference.

(2) Mandatory use by federal agencies.—Each Federal agency shall use the measurement standards developed under paragraph

(1) in evaluating the energy and water consumption of artificial intelligence systems procured or adopted by such agency, consistent with the guidance issued under section 404(c).

(3) Voluntary use.—Use of the measurement standards developed under paragraph (1) by a person or entity other than a Federal agency is voluntary.

(4) Updates.—The Director shall periodically update the measurement standards developed under paragraph (1) to reflect advancements in artificial intelligence technology and measurement methodology.

(b) Federal Artificial Intelligence Environmental Inventory.—

(1) In general.—Not later than 2 years after the date of the enactment of this Act, and biennially thereafter, the Director of the Office of Science and Technology Policy, in coordination with the Secretary of Energy and the heads of other relevant Federal agencies, shall conduct an inventory of the energy and water consumption associated with artificial intelligence systems used by Federal agencies.

(2) Methodology.—The inventory conducted under paragraph

(1) shall apply the measurement standards developed and updated under subsection (a).

(3) Publication.—The Director of the Office of Science and Technology Policy shall publish each inventory conducted under paragraph (1) and submit such inventory to Congress.

(1) Public availability.—The Director of the National Institute of Standards and Technology shall make the measurement standards developed and updated under subsection

(a) publicly available in plain language.

(2) Incorporation.—Any curriculum developed to increase artificial intelligence literacy (as defined in section 3 of this Act) using amounts made available under this Act shall, to the extent practicable, incorporate information regarding the measurement standards made available under paragraph (1), for informational and educational purposes.

SEC. 406. AUTHORIZATION OF APPROPRIATIONS.

There is authorized to be appropriated $120,000,000 for each of fiscal years 2027 through 2031 to carry out this title.

TITLE V—STUDENT AND WORKER DATA PRIVACY

SEC. 501. DATA BREACH REPORTS.

(a) Data Breach Reporting Portal.—Not later than 1 year after the date of the enactment of this Act, the Secretary of Education shall develop a secure portal for receiving reports of breaches of personally identifiable student data from entities receiving funds under this Act or the amendments made by this Act, including breaches of such data with regard to elementary, secondary, and postsecondary education.

(b) Incident Reports to Congress.—Not later than 30 days after each breach of personally identifiable student data reported through the portal established under subsection (a) data breach affecting not fewer than 10,000 students, the Secretary of Education shall submit to the Committee on Education and Workforce of the House of Representatives and the Committee on Health, Education, Labor, and Pensions of the Senate a report describing such breach, including the number of students affected, the nature of the data compromised, and the remedial actions taken or planned, as applicable.

(c) Annual Reports to Congress.—Not later than 2 years after the date of the enactment of this Act and annually thereafter, the Secretary of Education shall submit the Committee on Education and Workforce of the House of Representatives and the Committee on Health, Education, Labor, and Pensions of the Senate a report containing—

(1) a list of all breaches of personally identifiable student data reported through the portal established under subsection (a) during the 1-year period covered by such report;

(2) the number of students affected by each such breach;

(3) an assessment of trends in data security vulnerabilities among entities receiving funds under this Act; and

(4) recommendations for legislative or administrative action to improve the security of personally identifiable student data.

SEC. 502. ARTIFICIAL INTELLIGENCE RISK ASSESSMENTS IN EDUCATIONAL TECHNOLOGY.

(a) Surveillance Defined.—The term “surveillance” means the monitoring, tracking, or analysis of an individual’s information or data, including as such data or information relates to such individual’s behavior, movement, communications, or biometric information, including through the use of an artificial intelligence tool, which may include continuous video or audio monitoring, keystroke logging, facial recognition, or behavioral pattern analysis.

(b) Framework Required.—The Secretary of Education, in consultation with the Director of the National Institute of Standards and Technology, shall establish a framework, consistent with the designated risk management framework, for assessing the privacy, bias, safety, and security risks related to artificial intelligence tools with regard to the use of such tools in elementary, secondary, and postsecondary education.

(c) Required Elements.—In establishing the framework under subsection (b), the Secretary, in consultation with the Director, shall conduct assessments which shall—

(1) identify potential harms to student well-being that could result from the use of artificial intelligence tools in educational settings, including discriminatory profiling, excessive surveillance, and such other harms as the Secretary or the Director may identify;

(2) document safeguards and practices for the mitigation of risk related to the harms identified in paragraph (1);

(3) evaluate compliance by the provider of such tool with applicable accessibility and safety standards, as determined by the Secretary and the Director;

(4) include mechanisms for feedback on the framework from students, parents, and educators; and

(5) address the risks related to the following domains—

(A) disparate impact of artificial intelligence tools, including algorithmic bias (as defined in section 3);

(B) harmful content, consistent with section 503;

(D) student cognitive development;

(E) student data privacy; and

(F) procedures for human oversight and override of such tool, consistent with section 105.

(d) Approved Methodologies.—The Secretary of Education may recognize standardized risk assessment methodologies developed in consultation with the National Institute of Standards and Technology.

(e) Publication.—A summary of each assessment completed under this section shall be published on the website of the Department of Education.

SEC. 503. GUIDANCE FOR ARTIFICIAL INTELLIGENCE USE.

(a) Guidance Required.—Not later than 180 days after the date of the enactment of this Act, the Secretary of Education, in consultation with the Director of the National Institute of Standards and Technology, shall issue guidance on the safe and responsible use of artificial intelligence in elementary, secondary, and postsecondary education, which shall address—

(1) the application of artificial intelligence ethics (as defined in section 3) to the use of generative artificial intelligence tools by students and educators, including pedagogical practices that support the responsible use of such tools;

(2) safeguards against harmful content generated or surfaced by artificial intelligence tools, which may include such content related to self-harm, disordered eating, harassment, graphic violence, sexual abuse or harassment, and substance abuse, and which shall seek to—

(A) minimize, to the extent appropriate—

(i) such safeguards that would restrict or inhibit instruction; and

(ii) such safeguards for which noncompliance would necessitate excessive law enforcement contact or disciplinary action; and

(B) ensure the clarity and interpretability of such safeguards, and avoid duplication, with respect to similar guidance, definitions, requirements, or regulations issued by the Federal Communications Commission; and

(3) procedures for parental notification and opt-out with respect to specific applications of artificial intelligence that materially affect student learning or assessment, consistent with section 6(b)(D).

(b) Model Documents.—To support the implementation of the guidance issued under subsection (a), the Secretary of Education shall develop and publicly disseminate—

(1) model contract clauses for use by State educational agencies, local educational agencies, institutions of higher education, community or junior colleges, and area career and technical education schools, for procuring artificial intelligence tools for use in education;

(2) family consent templates for use in connection with the parental notification and opt-out procedures described in subsection (a)(3);

(3) model policies, which shall be illustrative and not prescriptive, for the purpose of mitigating abuses of artificial intelligence in educational activities, including—

(A) academic dishonesty by students, educators, faculty, staff, or other education leaders enabled by the use of artificial intelligence; and

(B) the misuse of personally identifiable student information and data by educators, faculty, staff, or other education leaders;

(4) educator checklists to support the safe and responsible use of artificial intelligence tools in education, consistent with the guidance issued under subsection (a); and

(5) such other model documents as the Secretary determines necessary to support the implementation of the guidance issued under subsection (a).

(c) Updates.—The guidance issued under subsection (a) shall be reviewed not less than once every 2 years and updated as necessary to reflect changes in technology and uses related to artificial intelligence tools in education.

SEC. 504. AUTOMATED DECISION SYSTEMS IN WORKFORCE PROGRAMS.

(a) Definitions.—In this section:

(1) Automated decision system.—The term “automated decision system” means a system, software, or process that uses computation, in whole or in part, to make, or serve as the principal basis for, a covered decision, including such a system, software, or process derived from machine learning, statistics, artificial intelligence, or other system. Such term does not include passive computing infrastructure, including web hosting, data storage, or cybersecurity tools that do not influence or determine such outcomes or decisions.

(2) Covered participant.—The term “covered participant” means an individual who applies for, participates in, or has completed a program funded under this Act, including an apprenticeship under section 204, a reskilling program under section 205, or a fellowship program under section 206.

(3) Covered decision.—The term “covered decision” means a decision by an entity receiving funds under this Act with respect to a covered participant’s admission, continuation, completion, or placement in a program funded under this Act.

(4) Principal basis.—The term “principal basis” means an output of an automated decision system that is used to make a covered decision without:

(A) human review, oversight, involvement, or intervention; or

(B) meaningful consideration by a human.

(b) Limitation on Use.—An entity receiving funds under this Act may not rely exclusively on an automated decision system in making a covered decision with respect to a covered participant.

(c) Requirements for the Provision of Automated Decision System.— An entity that provides an automated decision system for use by an entity receiving funds under this Act in making a covered decision shall—

(1) conduct pre-deployment testing and validation of such system, and test such system not less than annually thereafter, with respect to—

(A) the efficacy of such system;

(B) potential discriminatory impact on the basis of a protected characteristic (as defined in section 3); and

(2) make available to the entity receiving funds under this Act a description of the automated decision system, including the types of data used as inputs, sufficient to support the disclosure required under subsection (d).

(d) Grantee Obligations.—An entity receiving funds under this Act that uses or intends to use an automated decision system output in making a covered decision shall—

(1) disclose to the covered participant, in plain language and in languages other than English common among participants served by such entity—

(A) that the entity uses or intends to use such a system in making such a decision;

(B) a description of the automated decision system, including the types of data used as inputs; and

(2) provide for meaningful human review, by an individual with appropriate and relevant experience, of any automated decision system output prior to its use in a covered decision;

(3) provide a covered participant with an opportunity to seek human review of a covered decision made using an automated decision system output; and

(4) train personnel who operate or rely on such system on—

(A) the input data and limitations of the system; and

(B) potential biases and discriminatory impacts of the system.

(e) Self-Operated Systems.—An entity receiving funds under this Act that develops or operates its own automated decision system for use in making a covered decision shall be subject to the obligations under subsection (c) with respect to such system, in addition to the obligations under subsection (d).

SEC. 505. INTERAGENCY COORDINATION.

(a) Agreements.—The Secretary of Education, in consultation with the Secretary of Labor, shall enter into memoranda of understanding with the Federal Trade Commission, the Director of the National Institute of Standards and Technology, and the Attorney General to coordinate guidance, investigations, and enforcement under this title.

(b) Roles.—Memoranda of understanding entered into under subsection (a) shall provide that—

(1) the Federal Trade Commission shall advise on matters relating to unfair or deceptive practices involving the commercial use of data collected under this title;

(2) the Director of the National Institute of Standards and Technology shall advise on matters relating to the measurement and mitigation of risks associated with artificial intelligence tools and automated decision systems under this title; and

(3) the Attorney General shall provide guidance on matters relating to data security and discrimination compliance under this title.

SEC. 506. ENFORCEMENT.

(a) In General.—An entity that fails to comply with the requirements of this title shall be subject to the enforcement mechanisms under section 6(c).

(b) Referral for Commercial Data Violations.—In the case of a knowing or repeated violation of the prohibition on the commercial use of personally identifiable student data described in section 6(b)(2)(A), the Secretary of Education shall refer the matter to the Federal Trade Commission for such action as the Commission determines appropriate under section 5 of the Federal Trade Commission Act (15 U.S.C. 45).

SEC. 507. AUTHORIZATION OF APPROPRIATIONS.

There is authorized to be appropriated $100,000,000 for each of fiscal years 2027 through 2031 to carry out this title. <all>

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