Artificial Intelligence Accountability Act

Bill: 118-hr-3369
Sponsor: Rep. Harder, Josh [D-CA-9]
Introduced: 2023-05-16 in the House
Policy area: Science, Technology, Communications
Subjects: Computer security and identity theft
Computers and information technology
Congressional oversight
Government information and archives
Government studies and investigations
Technology assessment

Summary:
action_date: 2023-05-16
text: 

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. (Generally, AI refers to computerized systems that work and react in ways commonly thought to require human intelligence, such as certain systems that solve complex problems in real-world situations.)
 
Specifically, the NTIA must study, solicit stakeholder feedback about, and report to Congress concerning mechanisms (e.g., audits, certifications, and assessments) to provide assurances that an AI system is trustworthy. Among other topics, the study, feedback, and report must address how the various accountability measures are currently incorporated into AI systems, their effectiveness, and barriers to their creation. 
 
In addition, the NTIA must consult with stakeholders through public meetings to develop recommendations about the information that should be available to consumers who interact with AI systems and the methods for making that information available.

action_date: 2023-10-25
text: 

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. (Generally, AI refers to computerized systems that work and react in ways commonly thought to require human intelligence, such as certain systems that solve complex problems in real-world situations.)
 
Specifically, the NTIA must study, solicit stakeholder feedback about, and report to Congress concerning mechanisms (e.g., audits, certifications, and assessments) to provide assurances that an AI system is trustworthy. Among other topics, the study, feedback, and report must address how the various accountability measures are currently incorporated into AI systems and how the measures may reduce risks related to AI systems.
 
In addition, the NTIA must consult with stakeholders through public meetings to develop recommendations about (1) the information that should be available to individuals, communities, and businesses that interact with, are affected by, or study AI systems; and (2) the methods for making that information available.


Legislative actions:
action_date: 2023-10-25
text: Placed on the Union Calendar, Calendar No. 195.
action_date: 2023-10-25
text: Reported (Amended) by the Committee on Energy and Commerce. H. Rept. 118-244.
action_date: 2023-10-25
text: Reported (Amended) by the Committee on Energy and Commerce. H. Rept. 118-244.
action_date: 2023-07-27
text: Ordered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 50 - 0.
action_date: 2023-07-27
text: Committee Consideration and Mark-up Session Held.
action_date: 2023-07-12
text: Subcommittee Consideration and Mark-up Session Held
action_date: 2023-07-12
text: Forwarded by Subcommittee to Full Committee in the Nature of a Substitute (Amended) by Voice Vote.
action_date: 2023-05-19
text: Referred to the Subcommittee on Communications and Technology.
action_date: 2023-05-16
text: Referred to the House Committee on Energy and Commerce.
action_date: 2023-05-16
text: Introduced in House
action_date: 2023-05-16
text: Introduced in House