AI Grand Challenges 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.

• Compromise of privacy
• AI system security vulnerabilities
• Cyberattacks, weapon development or use
• 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 risk domains, with brief mentions of AI safety concepts in the cross-cutting challenges category (subdomain 7.3). The document primarily focuses on establishing a prize competition program rather than addressing specific AI risks or harms. Coverage is limited to a single mention of safety-related concepts without detailed mitigation measures.

Sector coverage

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

• Health Care & Social Assistance

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
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

The document governs AI research and development across 16 explicitly named sectors through prize competitions. Primary sectors include National Security, Health Care, Information (cybersecurity), Energy, Transportation, Agriculture, Education, Manufacturing, and Scientific Research. The document has broad multi-sector coverage with minimal depth per sector.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress with mandatory language establishing legal obligations for the Director of the National Science Foundation to implement a prize competition program with specific requirements and timelines.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is titled 'AI Grand Challenges Act of 2024' and is a Congressional act, indicating it was proposed and enacted by the United States Congress.

Target

• Entity Types: AI_Developer, AI_Governance_Actor
• Summary: The Act establishes requirements for the Director of the National Science Foundation to implement the program and sets eligibility criteria for prize competition participants. It also requires consultation with multiple federal agencies and advisory bodies.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Director of the National Science Foundation is responsible for implementing and administering the program, while Congressional committees receive mandatory reports and provide oversight.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Act establishes comprehensive monitoring and reporting requirements, including notification of prize awards within 60 days and biennial reports to Congressional committees. Reports must be made publicly accessible.

AI Lifecycle Stages

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

• Plan and Design
• Build and Use Model
• Verify and Validate
• Deploy

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Build and Use Model (through research and development competitions) and Deploy (through commercialization objectives). It also addresses Verify and Validate through testing and judging procedures, and Plan and Design through the establishment of problem statements and success metrics.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document explicitly mentions artificial intelligence research and development throughout but does not define or distinguish between AI models, AI systems, or specific types of AI such as frontier AI, general purpose AI, foundation models, or generative AI. No compute thresholds or open-weight/open-source model distinctions are mentioned.