Future of Artificial Intelligence Innovation Act of 2024

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Unequal performance across groups
• Compromise of privacy
• AI system security vulnerabilities
• Cyberattacks, weapon development or use
• Governance failure
• AI possessing dangerous capabilities
• Lack of capability or robustness
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of specific risk domains, with most focus on governance structures and research infrastructure rather than explicit risks. Coverage is primarily concentrated in governance failure (6.5) with implicit references to system safety (7.3, 7.4). The document emphasizes voluntary standards, testing, and international cooperation rather than addressing specific harms or risks described in the MIT taxonomy.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Scientific Research & Development Services
• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Health Care & Social Assistance
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This Act primarily governs federal government operations and cross-sector AI research and development infrastructure. It does not regulate specific economic sectors but rather establishes voluntary standards, testing capabilities, and research programs that could apply across multiple sectors. Specific sector mentions include manufacturing, maritime, border security, and materials science, but these are referenced as application areas for AI research challenges rather than sectors being regulated.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress with mandatory language establishing institutes, requiring reports, and directing federal agencies to take specific actions. While many provisions relate to voluntary standards, the Act itself contains enforceable obligations on federal agencies.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is an Act of Congress, as indicated by the legislative format, section structure, and references to Congressional committees. It was proposed and enacted by the United States Congress.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Infrastructure_Provider
• Entities: National Institute of Standards and Technology; Department of Energy; National Science Foundation; Federal agencies; private sector entities; companies of all sizes; developers of foundation models; National Laboratories
• Summary: The Act primarily targets federal agencies with mandatory obligations to establish institutes, develop standards, and conduct research. It also targets private sector AI developers and deployers through voluntary participation in testing, standards development, and public-private partnerships.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Under Secretary of Commerce for Standards and Technology; Director of the Artificial Intelligence Safety Institute; Secretary of Commerce; Secretary of Energy; Director of the National Science Foundation; Director of the Office of Science and Technology Policy; Comptroller General of the United States
• Summary: The Act designates specific federal officials and agency heads with authority to implement, oversee, and ensure compliance with the Act's provisions. These officials are responsible for establishing institutes, developing standards, and submitting required reports to Congress.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Congress; Committee on Commerce, Science, and Transportation of the Senate; Committee on Science, Space, and Technology of the House of Representatives; Committee on Energy and Natural Resources of the Senate; Comptroller General of the United States; Artificial Intelligence Safety Institute
• Summary: Congressional committees receive required reports and conduct oversight. The Comptroller General is tasked with evaluating regulatory impediments and agency challenges. The AI Safety Institute conducts ongoing testing, evaluation, and monitoring of AI systems.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary emphasis on Build and Use Model, Verify and Validate, and Operate and Monitor stages. It establishes comprehensive testing, evaluation, and standards development infrastructure. The Plan and Design stage is addressed through standards development and best practices. Data collection is covered through public dataset priorities.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• Foundation Models
• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly mentions AI models, AI systems, foundation models, and generative AI with detailed definitions. It does not explicitly mention frontier AI, general purpose AI, task-specific AI, predictive AI, or open-weight models. Compute thresholds are not mentioned. The focus is on broad AI system categories rather than specific model types or capability thresholds.