H.R. 1694: AI Accountability Act

Introduced Feb 27, 20251 cosponsors

Sponsor

Josh Harder

Josh Harder

Democrat · CA-9

Bill Progress

IntroducedFeb 27
Committee 
Pass House 
Pass Senate 
Signed 
Law 

Latest Action · Feb 27, 2025

1/2

Referred to the House Committee on Energy and Commerce.

AI bill orders 18-month federal review

Why it matters

As AI tools spread through telecom networks, social media platforms, and other high-impact systems, this bill would force the federal government to define what “trustworthy” AI actually means and report back within 18 months of enactment.

H.R. 1694, the Artificial Intelligence Accountability Act, was introduced on February 27, 2025, by Mr. Harder of California and co-sponsored by Ms. Kelly of Illinois. It was referred to the House Committee on Energy and Commerce. The bill is narrow but important: it does not create fines, bans, or compliance mandates for private companies right away, but it does require the federal government to build a clearer framework for AI accountability.

The core assignment goes to the Assistant Secretary of Commerce for Communications and Information. That official must study “accountability measures” for AI systems and report to Congress not later than 18 months after enactment. The bill defines an “accountability measure” as “a mechanism, including an audit, an assessment, or a certification, designed to provide assurance that a system is trustworthy.” That definition matters because it points the conversation toward concrete oversight tools like audits, assessments, and certifications rather than vague promises from companies.

What does H.R. 1694 do?

1

Commerce study due within 18 months

Section 2 orders the Assistant Secretary of Commerce for Communications and Information to conduct a study on accountability measures for artificial intelligence systems and submit a report not later than 18 months after enactment to the House Committee on Energy and Commerce and the Senate Committee on Commerce, Science, and Transportation.

2

Defines accountability measure with 3 examples

Section 2(d) gives a legal definition of “accountability measure” as “a mechanism, including an audit, an assessment, or a certification, designed to provide assurance that a system is trustworthy.” Those 3 examples—audit, assessment, and certification—anchor the bill in specific oversight tools.

3

Covers telecom, social media, and spectrum

The study must analyze how accountability measures could be incorporated into communications networks, specifically telecommunications networks and social media platforms, and into electromagnetic spectrum sharing applications under Section 2(a)(1).

4

Looks at digital divide and cybersecurity risks

Under Sections 2(a)(2) and 2(a)(3), the report must examine whether AI accountability measures can help close the digital divide, promote digital inclusion in the United States, and reduce risks, including cybersecurity risks.

5

Forces public meetings on AI transparency

Section 3(a) requires public meetings with industry, academia, and consumers to gather feedback on what information should be made available to individuals, communities, and businesses that interact with, are affected by, or study AI systems, and on the most effective methods for making that information available.

6

Second report also due in 18 months

Section 3(b) requires another report not later than 18 months after enactment, again to the House Energy and Commerce Committee and the Senate Commerce, Science, and Transportation Committee, summarizing feedback and recommending what AI system information should be available and how it should be shared.

Who benefits from H.R. 1694?

Individuals affected by AI systems

They could benefit from Section 3’s requirement for public meetings and recommendations on what information should be available to people who interact with or are affected by AI systems, with a federal report due within 18 months of enactment.

Communities facing the digital divide

Section 2(a)(2) specifically requires analysis of whether AI accountability measures can help close the digital divide and promote digital inclusion in the United States, putting those communities directly into the bill’s policy focus.

Researchers and academics studying AI

Section 3(a) explicitly includes academia in the consultation process and asks what information should be available to people who study AI systems, potentially improving access to data and system details.

Consumers using telecom and social media services

Because Section 2(a)(1) names telecommunications networks and social media platforms, consumers may benefit if the study leads to clearer accountability standards for AI tools used in those systems.

Who is affected by H.R. 1694?

Department of Commerce leadership

The Assistant Secretary of Commerce for Communications and Information is directly tasked in Section 2(a) with running the AI accountability study, holding public meetings under Section 2(b), and delivering a report within 18 months after enactment.

AI companies and platform operators

Companies building or deploying AI in telecommunications networks, social media platforms, or electromagnetic spectrum sharing applications are not directly regulated by this bill, but they would be scrutinized through the Section 2 study and Section 3 transparency consultations.

Industry, academia, and consumers in public consultations

Section 3(a) specifically requires public meetings with industry, academia, and consumers, meaning these groups are expected to provide input on what AI information should be publicly available and how it should be disclosed.

Congressional oversight committees

The House Committee on Energy and Commerce and the Senate Committee on Commerce, Science, and Transportation must receive both reports, each due not later than 18 months after enactment, giving those committees the record for possible future AI legislation.

On the Record

What Congress Is Saying

H.R. 1694 hasn't been debated on the floor yet.

This section updates when a legislator speaks about it on the floor or in committee.

HR1694 Legislative Journey

1 actions

House: Committee Action

Feb 27, 2025

Referred to the House Committee on Energy and Commerce.

About the Sponsor

Josh Harder

Josh Harder

Democrat, California's 9th congressional district · 7 years in Congress

Committees: Appropriations

View full profile →

Cosponsors (1)

This bill has 1 cosponsor: 1 Democrat. Cosponsors represent 1 state: Illinois.

1Democrat·1 state

Committee Sponsors

Energy and Commerce Committee

24D30R
|1 signed53 not yet

1 of 54 committee members cosponsored

23 Democrats across this committee haven't cosponsored yet. Mobilize their constituents

H.R. 1694 Quick Facts

Cosponsors
1
Robin Kelly
Committee
Energy and Commerce
Chamber
House
Policy
Science, Technology, Communications
Introduced
Feb 27, 2025

Referred to the House Committee on Energy and Commerce.

Feb 27, 2025

Constituent Resources

Get notified when this bill moves

H.R. 1694 Common Questions

How long does the AI Accountability Act give the federal government to report on AI oversight?

The federal study and transparency report are both due within 18 months of enactment under the AI Accountability Act (SEC. 2 and SEC. 3).

What counts as an accountability measure under the AI Accountability Act?

Under the AI Accountability Act, an "accountability measure" includes an audit, an assessment, or a certification designed to assure that an AI system is trustworthy (SEC. 2(d)).

Does the AI Accountability Act apply to social media platforms and telecom networks?

Yes. The required study must examine accountability measures for communications networks, specifically telecommunications networks and social media platforms, under the AI Accountability Act (SEC. 2(a)(1)).

Does HR 1694 cover AI used in electromagnetic spectrum sharing applications?

Yes. According to HR 1694 SEC. 2(a)(1), the study must analyze AI accountability measures for electromagnetic spectrum sharing applications.

Can AI accountability measures under HR 1694 be used to address cybersecurity risks?

Yes. The AI Accountability Act requires analysis of whether accountability measures can reduce AI-related risks, including cybersecurity risks (SEC. 2(a)(3)).

Does the AI Accountability Act look at closing the digital divide?

Yes. Under the AI Accountability Act, the study must examine whether AI accountability measures could help close the digital divide and promote digital inclusion in the United States (SEC. 2(a)(2)).

What does the AI Accountability Act say about trustworthy vs responsible AI?

The bill requires the federal study to analyze how "trustworthy" is used in AI and how it relates to terms like "responsible" and "human-centric" under the AI Accountability Act (SEC. 2(a)).

Which groups must be consulted in public meetings under the AI Accountability Act?

The bill requires public meetings with stakeholders including industry, academia, and consumers under the AI Accountability Act (SEC. 3(a)).

What information could people and businesses get about AI systems under HR 1694?

HR 1694 requires recommendations on what information should be available to individuals, communities, and businesses that interact with, are affected by, or study AI systems (SEC. 3(a)-(b)).

Can the AI Accountability Act lead to recommendations for government and private sector action?

Yes. The report must include recommendations for governmental and nongovernmental actions to support effective AI accountability measures under the AI Accountability Act (SEC. 2).

Based on H.R. 1694 bill text

H.R. 1694 Bill Text

PDF

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.

Source: U.S. Government Publishing Office

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