Defines artificial intelligence using existing legislation and includes AI in data governance. Requires the Chief Data Officer Council to identify AI opportunities and enhance data practices. Mandates biennial reports on AI use and data governance improvements in agencies.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a binding federal statute enacted by the United States Congress with mandatory obligations for federal agencies, including requirements for reports, council establishment, and data governance practices.
This document has minimal risk domain coverage, primarily addressing governance structures and data management practices rather than specific AI risks. The document focuses on establishing administrative frameworks for data governance and AI adoption within federal agencies, with limited attention to risk mitigation. Coverage is concentrated in governance failure (6.5) with minimal mentions of security vulnerabilities (2.2) and system robustness (7.3).
This document exclusively governs the Public Administration sector, specifically federal agencies and their use of AI and data governance practices. It does not regulate private sector entities or other economic sectors, but rather establishes internal governance frameworks for federal government operations.
The document addresses multiple AI lifecycle stages with primary focus on deployment and operational monitoring. It covers planning through requirements for data governance policies and infrastructure, and extensively addresses monitoring through biennial reporting and evaluation requirements. The document also touches on data collection and model building through recommendations for training data practices.
The document explicitly defines and covers artificial intelligence by reference to existing federal legislation. It addresses AI systems broadly in the context of federal agency operations, including training, testing, and operation. The document does not distinguish between different types of AI (frontier, general purpose, task-specific, generative, predictive) or mention compute thresholds or open-weight models. It does address synthetic data practices.
United States Congress (Senate and House of Representatives)
The document is a federal bill enacted by Congress, as indicated by the standard legislative enactment clause and the bill structure.
Director of Office of Management and Budget, Comptroller General, Committee on Homeland Security and Governmental Affairs of the Senate, Committee on Oversight and Accountability of the House of Representatives
The Director has authority to issue guidance to agencies based on Council reports. The Comptroller General conducts evaluations, and Congressional committees receive reports for oversight.
Chief Data Officer Council, Comptroller General, Director of Office of Management and Budget, Committee on Homeland Security and Governmental Affairs of the Senate, Committee on Oversight and Accountability of the House of Representatives
The Council monitors and reports on data governance and AI use across agencies. The Comptroller General evaluates the Council's effectiveness. Congressional committees receive biennial reports.
Federal agencies, Chief Data Officer Council, Chief Data Officers, Director of Office of Management and Budget, Agency Chief Information Officers, Agency Evaluation Officers, Senior agency officials for privacy
The Act applies to federal agencies and establishes requirements for the Chief Data Officer Council and various agency officials to improve data governance and AI adoption practices.