Create AI Act of 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-03-26

Risk subdomain coverage

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

• Governance failure

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

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with limited focus on privacy (2.1), security vulnerabilities (2.2), and governance structures (6.5). Coverage is primarily concentrated on establishing infrastructure and access controls rather than addressing specific AI risks and harms. Most risk subdomains receive no coverage as the document focuses on democratizing AI research access rather than mitigating AI-related risks.

Sector coverage

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

• Scientific Research & Development Services
• Educational Services

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

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

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Scientific Research and Development Services sector and Educational Services sector by establishing infrastructure for AI research and education. It also has minimal coverage of Public Administration (excluding National Security) through federal agency participation requirements.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress with mandatory language establishing legal obligations, enforcement mechanisms, and formal governance structures for the National Artificial Intelligence Research Resource.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill proposed by the legislative branch of the United States government, as indicated by the formal enactment clause and legislative structure.

Target

• Entity Types: AI_Developer, AI_User, AI_Infrastructure_Provider, AI_Governance_Actor
• Summary: The document targets multiple entity types: AI researchers and developers who will use NAIRR resources, infrastructure providers who will supply computational resources and data, and governance actors (federal agencies) who will participate in the NAIRR ecosystem.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Multiple federal agencies and offices are designated with enforcement and oversight authority, including the NSF which establishes the Program Management Office, and OSTP which chairs the NAIRR Steering Subcommittee with oversight responsibilities.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document establishes multiple monitoring bodies including the NAIRR Steering Subcommittee which conducts annual performance evaluations, the Program Management Office which oversees compliance, and independent evaluation entities for periodic assessments.

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 focus on Build and Use Model, Deploy, and Operate and Monitor stages. It establishes infrastructure for AI model development, testing, deployment support, and ongoing monitoring through the NAIRR platform.

Technical Scope

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

• AI Models
• AI Systems
• Open Weight / Open Source

Technical Scope Summary

The document broadly references 'artificial intelligence' throughout without defining specific AI types. It does not explicitly distinguish between AI models vs systems, frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, or open-weight models. No compute thresholds are mentioned.