Ensuring Safe and Ethical AI Development Through SAFE AI Research Grants

• 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.

• AI system security vulnerabilities
• Competitive dynamics
• Governance failure
• AI pursuing its own goals
• AI possessing dangerous capabilities
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of specific risk subdomains. It broadly references AI safety and risk mitigation without detailing specific harms. The most relevant coverage relates to AI system safety failures (7.1, 7.2, 7.3) through its focus on developing 'safe AI models' and research into 'safety and risk reduction.' There are implicit references to governance (6.5) through the establishment of guiding principles and grant program structure. However, the document remains high-level and does not explicitly address most specific risk categories in the taxonomy.

Sector coverage

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

• Scientific Research & Development Services

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

• Educational Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document does not govern specific economic sectors. Instead, it establishes a research grant program administered by the National Academy of Sciences to develop safe AI models across all sectors. The document mentions consultation with 'industry, government, academia, and high-tech stakeholders' but does not regulate AI use in any particular sector.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute (H.R. 6088) introduced in the U.S. House of Representatives with binding legal language requiring the National Academy of Sciences to establish a grant program. The document uses mandatory language ('shall') throughout and would create legally enforceable obligations upon enactment.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Mr. Kiley; Ms. Garcia of Texas; United States Congress; Committee on Science, Space, and Technology
• Summary: The bill was introduced by Representatives Kiley and Garcia in the U.S. House of Representatives, making Congress the proposing authority. The document header explicitly identifies the congressional sponsors and the committee of referral.

Target

• Entity Types: AI_Developer, AI_Governance_Actor
• Entities: National Academy of Sciences; industry; government; academia; high-tech stakeholders; prospective grantees
• Summary: The primary target is the National Academy of Sciences, which is mandated to establish the grant program. Secondary targets include AI developers and researchers who would participate in the grant program, as well as stakeholders consulted in developing guiding principles.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Committee on Science, Space, and Technology of the House of Representatives; Committee on Commerce, Science, and Transportation of the Senate; National Academy of Sciences
• Summary: Congressional committees serve as the primary enforcement mechanism through oversight and review of the required proposal. The National Academy of Sciences has enforcement authority over grant administration and evaluation of awardees.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: National Academy of Sciences; Committee on Science, Space, and Technology; Committee on Commerce, Science, and Transportation
• Summary: The National Academy of Sciences is responsible for monitoring grant implementation and evaluating outcomes. Congressional committees monitor compliance through the required proposal submission and ongoing 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
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Plan and Design (through development of guiding principles), Build and Use Model (through safe AI model development grants), and Verify and Validate (through evaluation of safety incorporation and risk assessment methodologies). It also addresses Operate and Monitor through evaluation of grant outcomes.

Technical Scope

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

• AI Models

Technical Scope Summary

The document explicitly mentions 'AI models' multiple times and references 'safe AI' throughout. It does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on AI models broadly without technical categorization.