0
Artificial Intelligence Accountability Act
2/5/2024, 2:30 PM
Summary of Bill HR 3369
Key provisions of the bill include requiring companies and organizations that develop AI systems to disclose information about the technology's capabilities, limitations, and potential biases. It also mandates the establishment of an AI Advisory Committee to provide recommendations on best practices for the responsible use of AI.
Furthermore, the bill addresses concerns about the potential impact of AI on jobs and the economy by requiring companies to report on the potential effects of AI deployment on employment and workforce training. It also includes provisions for protecting consumer data and privacy in the context of AI technology. Overall, the Artificial Intelligence Accountability Act aims to promote responsible and ethical use of AI technology while also addressing potential risks and challenges associated with its widespread adoption. The bill is currently under review in Congress, with bipartisan support for its objectives.
Congressional Summary of HR 3369
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.
