AI Leadership To Enable Accountable Deployment 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

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

• Governance failure

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

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Compromise of privacy
• AI system security vulnerabilities
• Overreliance and unsafe use
• Increased inequality and decline in employment
• Competitive dynamics
• AI possessing dangerous capabilities
• 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 governance failure (6.5), competitive dynamics (6.4), lack of transparency (7.4), and unfair discrimination (1.1). Coverage is concentrated in governance structures, oversight mechanisms, and risk management processes rather than specific technical AI risks.

Sector coverage

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

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

All other sectors had no coverage in this document.

Sectors Summary

This document governs AI use exclusively within the U.S. federal government across all agencies. It establishes governance structures for Public Administration (excluding National Security) as the primary sector, with implicit coverage of National Security through inclusion of all federal agencies.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations, enforcement mechanisms, and legal authority over federal agencies.

Actors

Proposer

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

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Summary: The Act applies to federal agencies that develop, acquire, and deploy AI systems. These agencies are both governance actors (government entities) and AI deployers (entities using AI systems in operations).

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Director of OMB has primary enforcement authority through guidance issuance and Council oversight. GAO provides monitoring and assessment. Congressional committees provide oversight.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Council oversees compliance and monitors AI use across government. GAO conducts assessments and submits reports. Agency CAIOs and Coordination Boards monitor agency-specific AI implementation.

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 comprehensively covers all AI lifecycle stages from planning through monitoring. It emphasizes governance structures across the entire lifecycle, with particular focus on deployment oversight, operational monitoring, and verification/validation through risk management and auditing processes.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document uses the broad term 'artificial intelligence' as defined in the National Artificial Intelligence Initiative Act of 2020, referring to AI systems and technologies generally. It does not distinguish between different types of AI (frontier, general purpose, task-specific, generative, predictive) or mention foundation models, open-weight models, or compute thresholds.