Jobs of the Future 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

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

• Increased inequality and decline in employment

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

• Power centralization and unfair distribution
• Economic and cultural devaluation of human effort
• Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with primary focus on workforce and socioeconomic impacts. It addresses workforce displacement (6.2), inequality concerns (6.1, 6.2), and implicitly touches on governance structures (6.5) through its reporting and collaboration requirements. The document does not substantively address technical AI risks, safety failures, discrimination, privacy, misinformation, or malicious use.

Sector coverage

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

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

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

• Agriculture, Mining, Construction & Manufacturing
• Information
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Accommodation, Food & Other Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document does not govern specific economic sectors but rather mandates analysis and reporting on AI's impact across all sectors of the U.S. workforce. It requires identification of industries most affected by AI and collaboration with stakeholders across technology, manufacturing, employment, human resources, and service sectors. The governance applies to federal agencies (Labor, NSF) rather than regulating private sector AI use.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act passed by the United States Congress with mandatory reporting requirements and specified enforcement through Congressional oversight.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a Congressional bill introduced by named Representatives and referred to House committees, indicating Congress as the proposing authority.

Target

• Entity Types: AI_Governance_Actor
• Summary: The Act mandates specific federal officials and agencies to prepare reports and collaborate on AI workforce analysis. These are the entities required to take action under the legislation.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Congressional committees are designated as recipients of mandatory reports, providing oversight and enforcement through their legislative authority over executive agencies.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Secretary of Labor and NSF Director are required to monitor AI's workforce impact through data collection, analysis, and reporting. Congressional committees monitor compliance with reporting requirements.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather on analyzing AI's impact across all stages of development and deployment. It requires analysis of skills needed to 'develop, operate, or work alongside' AI, implicitly covering Build and Use Model, Deploy, and Operate and Monitor stages. The primary focus is on workforce preparation rather than technical AI development processes.

Technical Scope

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

• Open Weight / Open Source

Technical Scope Summary

The document uses the term 'artificial intelligence' throughout but does not explicitly define or distinguish between AI models, AI systems, or specific types of AI (frontier, general purpose, task-specific, etc.). It references the definition from the National Artificial Intelligence Initiative Act of 2020 but does not discuss compute thresholds, open-weight models, or technical AI categorizations.