Artificial Intelligence Literacy 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: 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.

• Increased inequality and decline in employment

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, focusing primarily on education and workforce development rather than AI risks. The only subdomain with minimal coverage is 6.2 (Increased inequality) through its discussion of demographic disparities in AI education access and workforce participation.

Sector coverage

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

• 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 legislation primarily governs the Educational Services sector by establishing grant programs for AI literacy education in K-12 schools, community colleges, and higher education institutions. It also has implications for Public Administration through federal agency responsibilities and workforce development across multiple sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute (H.R. 6791) introduced in the U.S. House of Representatives that would amend existing law (Digital Equity Act of 2021) to create binding legal obligations including grant programs, reporting requirements, and federal agency duties.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Ms. Blunt Rochester; Mr. Bucshon; Committee on Energy and Commerce
• Summary: The bill was introduced in the House of Representatives by Ms. Blunt Rochester and Mr. Bucshon and referred to the Committee on Energy and Commerce, indicating these are the proposing actors.

Target

• Entity Types: AI_Governance_Actor
• Entities: public elementary and secondary schools; community colleges; institutions of higher education; community anchor institutions; Assistant Secretary
• Summary: The bill targets educational institutions at all levels (K-12, community colleges, higher education) and community anchor institutions as grant recipients. It also creates obligations for the Assistant Secretary to administer the program.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Assistant Secretary
• Summary: The Assistant Secretary is designated as the primary enforcement authority responsible for administering the grant program and ensuring compliance through reporting mechanisms.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Assistant Secretary; appropriate committees of Congress
• Summary: The Assistant Secretary monitors implementation through annual reports submitted to Congress. Congressional committees receive and review these reports to oversee the program.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

No lifecycle stages identified.

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather on AI education and literacy initiatives. It addresses the broader ecosystem of AI workforce development and public understanding rather than technical development stages.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document mentions AI in general terms and defines 'artificial intelligence literacy' but does not explicitly reference specific technical categories such as AI models, AI systems, frontier AI, GPAI, foundation models, generative AI, or compute thresholds. The focus is on education about AI broadly rather than technical specifications.