Bill Details

HR.1694 - 119th Congress

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Status
  1. Introduced
  2. Passed House
  3. Passed Senate
  4. To President
  5. Law
Latest action
2025-02-27 - Referred to the House Committee on Energy and Commerce.
Introduced Date
2025-02-27
Policy Area
Science, Technology, Communications
Committees
6
0

AI Summary This summary was generated by AI from the bill text. AI can get information wrong.

This bill would direct the Commerce Department to study how artificial intelligence systems can be made more accountable and trustworthy. It would also require public meetings with people from industry, schools, consumer groups, and others to get feedback. The study would look at how AI is used in communications networks, social media, and spectrum-sharing systems, how it might help close the digital divide, and how it could lower risks such as cybersecurity threats. It would also examine what words like “trustworthy,” “responsible,” and “human-centric” mean in AI. In a separate part, the bill asks the department to study what information people and businesses should have about AI systems and the best ways to share that information. Within 18 months, the department must send Congress a report with its findings and recommendations.

  • The bill orders the Assistant Secretary of Commerce for Communications and Information to lead the study and public meetings.
  • The study would focus on accountability tools such as audits, assessments, and certifications for AI systems.
  • It would examine how AI accountability could support digital inclusion and reduce risks, including cybersecurity concerns.
  • The final report to Congress must include the meeting feedback, study results, and recommendations for both government and non-government action.

Official Summaries

Artificial Intelligence Accountability Act or the AI Accountability Act

This bill requires the National Telecommunications and Information Administration (NTIA) to study and report on accountability measures for artificial intelligence (AI) systems. Under the bill, accountability measures are mechanisms designed to assure that a system is trustworthy, including audits, assessments, and certifications. 

Specifically, the NTIA must study, solicit stakeholder feedback about, and report to Congress on the incorporation of accountability measures into AI systems used by communications technologies (such as telecommunications networks and social media platforms) and the ways in which AI accountability measures reduce risks related to AI systems (e.g., cybersecurity risks), among other topics. 

The NTIA must also solicit stakeholder feedback and report to Congress on (1) information that should be available to individuals, communities, and businesses that interact with, are affected by, or study AI systems; and (2) methods for making that information available.

Current Full Text

[Congressional Bills 119th Congress]
[From the U.S. Government Publishing Office]
[H.R. 1694 Introduced in House (IH)]

<DOC>






119th CONGRESS
  1st Session
                                H. R. 1694

 To direct the Assistant Secretary of Commerce for Communications and 
Information to conduct a study and hold public meetings with respect to 
        artificial intelligence systems, and for other purposes.


_______________________________________________________________________


                    IN THE HOUSE OF REPRESENTATIVES

                           February 27, 2025

   Mr. Harder of California (for himself and Ms. Kelly of Illinois) 
 introduced the following bill; which was referred to the Committee on 
                          Energy and Commerce

_______________________________________________________________________

                                 A BILL


 
 To direct the Assistant Secretary of Commerce for Communications and 
Information to conduct a study and hold public meetings with respect to 
        artificial intelligence systems, and for other purposes.

    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 
Accountability Act'' or the ``AI Accountability Act''.

SEC. 2. STUDY ON ACCOUNTABILITY MEASURES FOR ARTIFICIAL INTELLIGENCE 
              SYSTEMS.

    (a) Study.--The Assistant Secretary of Commerce for Communications 
and Information shall conduct a study on accountability measures for 
artificial intelligence systems, which shall include an analysis of the 
following:
            (1) How accountability measures are being incorporated into 
        artificial intelligence systems used by communications networks 
        (including telecommunications networks and social media 
        platforms) and electromagnetic spectrum sharing applications.
            (2) How accountability measures for artificial intelligence 
        systems can facilitate the closing of the digital divide and 
        assist the promotion of digital inclusion in the United States.
            (3) How accountability measures may reduce risks related to 
        artificial intelligence systems, including cybersecurity risks.
            (4) How the term ``trustworthy'' is used and defined in the 
        context of artificial intelligence, including how the term may 
        be applied in various contexts related to artificial 
        intelligence.
            (5) The relationship, with respect to artificial 
        intelligence, between the term ``trustworthy'' and other terms 
        such as ``responsible'' and ``human-centric''.
    (b) Stakeholder Consultation.--In carrying out the study required 
by subsection (a), the Assistant Secretary shall hold public meetings 
to consult with relevant stakeholders for the purpose of soliciting 
feedback on accountability measures for artificial intelligence 
systems.
    (c) Report.--Not later than 18 months after the date of the 
enactment of this Act, the Assistant Secretary shall submit to the 
Committee on Energy and Commerce of the House of Representatives and 
the Committee on Commerce, Science, and Transportation of the Senate a 
report on the results of the study required by subsection (a) that 
shall include--
            (1) the results of the analysis required by subsection (a);
            (2) a description of the feedback provided during the 
        meetings required by subsection (b); and
            (3) recommendations for governmental and nongovernmental 
        actions to support effective accountability measures for 
        artificial intelligence systems.
    (d) Accountability Measure Defined.--In this section, the term 
``accountability measure'' means a mechanism, including an audit, an 
assessment, or a certification, designed to provide assurance that a 
system is trustworthy.

SEC. 3. AVAILABILITY OF INFORMATION ON ARTIFICIAL INTELLIGENCE SYSTEMS.

    (a) Meetings.--The Assistant Secretary of Commerce for 
Communications and Information shall hold public meetings to consult 
with relevant stakeholders (including representatives of industry, 
academia, and consumers) for the purpose of soliciting feedback on--
            (1) the information that should be available to 
        individuals, communities, and businesses that interact with, 
        are affected by, or study artificial intelligence systems; and
            (2) the most effective methods for making such information 
        available to such individuals, communities, and businesses.
    (b) Report.--Not later than 18 months after the date of the 
enactment of this Act, the Assistant Secretary shall submit to the 
Committee on Energy and Commerce of the House of Representatives and 
the Committee on Commerce, Science, and Transportation of the Senate a 
report on the results of the meetings required by subsection (a) that 
shall include--
            (1) a description of the feedback provided during the 
        meetings; and
            (2) recommendations with respect to--
                    (A) the information that should be available to 
                individuals, communities, and businesses that interact 
                with, are affected by, or study artificial intelligence 
                systems; and
                    (B) the methods to be used for making such 
                information available to such individuals, communities, 
                and businesses.
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