Expanding AI Voices Act

• 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.

• Unequal performance across groups
• Power centralization and unfair distribution
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, focusing primarily on AI education, research capacity building, and workforce development rather than specific AI risks. The only substantive risk coverage is in subdomain 1.3 (Unequal performance across groups) through its emphasis on broadening participation from underrepresented institutions, and subdomain 6.1 (Power centralization) by addressing inequitable distribution of AI research resources. There is minimal coverage of ethical practices (7.1) through brief mention of integrating ethical principles into education.

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)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Educational Services sector by directing federal funding to institutions of higher education for AI research and education programs. It also has secondary coverage of Scientific Research and Development Services through its focus on expanding AI research capacity. The Public Administration sector is involved as the implementing authority.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress that amends existing federal law (National AI Initiative Act) with mandatory obligations and federal funding mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is a Congressional Act proposed and enacted by the United States Congress, as indicated by the legislative format and authority.

Target

• Entity Types: AI_Developer, AI_Governance_Actor
• Entities: Eligible institutions of higher education (not in top 100 for Federal R&D expenditures); Historically Black colleges and universities; Minority-serving institutions; Tribal Colleges or Universities; Eligible nonprofit organizations; Consortia of these entities
• Summary: The Act targets underrepresented educational institutions and nonprofit organizations to receive grants for AI research, education, and workforce development. These entities will develop AI research programs and educational pathways, making them AI developers in the educational context.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Director of the National Science Foundation; National Science Foundation
• Summary: The Director of the National Science Foundation is explicitly designated with mandatory obligations to administer the grant program, conduct outreach, and ensure compliance with non-duplication requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Director of the National Science Foundation; National Science Foundation; National Center for Science and Engineering Statistics
• Summary: The National Science Foundation, through its Director, is responsible for monitoring the program through outreach activities, ensuring non-duplication, and evaluating eligibility based on data from the National Center for Science and Engineering Statistics.

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

AI Lifecycle Summary

The document primarily covers the Plan and Design stage through research program development and the Build and Use Model stage through AI research and development activities. It also addresses educational and workforce development aspects that span multiple lifecycle stages.

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 uses broad terminology referring to 'artificial intelligence' and 'artificial intelligence research and development' without specifying particular types of AI systems, models, or technical thresholds. It focuses on capacity building for AI research generally rather than specific AI technical categories.