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 AI risk domains, with brief mentions of cross-cutting AI challenges including safety, privacy, and bias mitigation (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 technical challenges without detailed governance measures or risk mitigation strategies.

Sector coverage

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

• Scientific Research & Development Services
• 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
• 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 multiple sectors through prize competitions. Primary sectors explicitly mentioned include National Security, Health Care, Agriculture, Education, Manufacturing, Transportation, and Scientific Research. The governance mechanism applies broadly across 10+ economic sectors through the grand challenge categories.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress establishing mandatory requirements for the National Science Foundation Director to establish a prize competition program with specific timelines, reporting obligations, and procedural requirements.

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_Deployer
• Summary: The Act establishes requirements for eligible participants in prize competitions, specifying that private entities must be incorporated in and maintain primary place of business in the United States, and individuals must be U.S. citizens or permanent residents. The Director of NSF is also a target as the entity required to implement the program.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Director of NSF 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 Director must submit reports within 60 days of prize awards and biennial reports to Congressional committees. The National AI Advisory Committee is consulted in the selection of grand challenges, providing advisory oversight.

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 Plan and Design through the establishment of grand challenge 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 model provisions are mentioned.