Creating Resources for Every American To Experiment with Artificial Intelligence Act of 2023

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2023-07-28

Risk subdomain coverage

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

• Compromise of privacy
• AI system security vulnerabilities
• Governance failure

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

• Power centralization and unfair distribution
• 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 to good coverage of approximately 6-8 subdomains, with primary focus on privacy and security (2.1, 2.2), governance structures (6.5), and AI system safety (7.3, 7.4). The document addresses infrastructure and resource access rather than specific AI risks, with emphasis on establishing governance mechanisms, security requirements, and oversight processes for the National AI Research Resource.

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.

• Information
• Professional & Technical Services
• Public Administration (excl. National Security)
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs AI research and development activities across the Scientific Research and Development Services sector and Educational Services sector. It establishes infrastructure to support AI researchers, educators, and students, with secondary applicability to Public Administration (federal agencies using NAIRR resources) and Professional and Technical Services (small businesses and consultants conducting AI research).

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act passed by the United States Congress that establishes mandatory requirements, creates federal agencies and governance structures, authorizes appropriations, and uses mandatory language throughout ('shall') to impose legal obligations on federal agencies.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is an Act of Congress, as indicated by the legislative format, section structure, and references to Congressional findings. The document is a federal statute proposed and enacted by the legislative branch.

Target

• Entity Types: AI_Developer, AI_User, AI_Infrastructure_Provider
• Summary: The Act establishes eligibility criteria for NAIRR users and specifies categories of entities that can access the resource, including researchers, students, educational institutions, small businesses, and federal agencies. It also targets providers of computational resources, data repositories, and AI infrastructure.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Act designates the National Science Foundation as the primary implementing agency, establishes a NAIRR Steering Subcommittee for oversight, creates a Program Management Office for day-to-day operations, and involves multiple federal agencies in enforcement and compliance monitoring.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Act establishes multiple layers of monitoring including the NAIRR Steering Subcommittee for performance evaluation, the Program Management Office for operational oversight, Advisory Committees for guidance, and requirements for independent assessments and public reporting.

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 primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle by establishing infrastructure for AI research resource provisioning, testing, and ongoing oversight. It also covers aspects of Build and Use Model through provision of computational resources and data, and Verify and Validate through AI testbed access and evaluation capabilities.

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 explicitly mentions AI models, AI systems, and AI testbeds. It does not specifically define or mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, or predictive AI. There is no mention of compute thresholds (FLOPs). The document does not explicitly address open-weight or open-source models, though it mentions 'an open source software environment for the NAIRR'.