Data Science and 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.

• Unequal performance across groups

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with only subdomain 1.3 (Unequal performance across groups) receiving a coverage score of 2. The document primarily focuses on educational access and equity rather than AI-specific risks. While it mentions AI and data science education, it does not substantively address the risks and harms described in most MIT taxonomy subdomains.

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)

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Educational Services sector by directing federal grants for data literacy education at pre-K through postsecondary levels. It also has minimal coverage of Public Administration (excluding National Security) through its implementation by the Department of Education and reporting to Congress.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute from the United States Congress with binding legal obligations, mandatory language, and enforcement mechanisms through the Secretary of Education.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Ms. Stevens; Mr. Baird; Mr. Beyer; Mrs. Kim of California; Committee on Education and the Workforce
• Summary: The document was introduced in the House of Representatives by Ms. Stevens and co-sponsors, then referred to the Committee on Education and the Workforce. Congress is the proposing legislative body.

Target

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Education; State educational agencies; local educational agencies; Tribal schools; institutions of higher education; two-year institutions of higher education; four-year institutions of higher education; eligible consortia
• Summary: The Act directs the Secretary of Education to award grants to eligible entities including state and local educational agencies, Tribal schools, and institutions of higher education. These entities are the targets who must comply with grant requirements.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Education; Director of the Institute of Education Sciences
• Summary: The Secretary of Education has authority to award grants, set application requirements, and receive compliance reports. The Director of the Institute of Education Sciences is tasked with evaluating program effectiveness.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Education; Director of the Institute of Education Sciences; Congress
• Summary: Grant recipients must submit biannual reports to the Secretary. The Secretary must report to Congress and make findings publicly available. The Director of the Institute of Education Sciences conducts program evaluation.

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 directly govern specific AI lifecycle stages. Instead, it focuses on educational programs to build data literacy and AI competencies at pre-kindergarten through postsecondary levels. The lifecycle stages are not applicable as this is an education funding bill rather than AI system governance.

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 explicitly mentions AI, data science, statistics, machine learning, and related fields as subjects of education. It does not define or regulate specific AI system types but rather focuses on building educational capacity in these areas.