Blueprint for an AI Bill of Rights

• Authority: Executive Office of the President
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: Editors' Picks;U.S. regulations, executive orders, and agency policies
• Most recent activity: Enacted
• Most recent activity date: 2022-10-01

Risk subdomain coverage

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

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Compromise of privacy
• Disinformation, surveillance, and influence at scale
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Lack of capability or robustness
• Lack of transparency or interpretability

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

• Exposure to toxic content
• AI system security vulnerabilities
• False or misleading information
• Fraud, scams, and targeted manipulation
• Increased inequality and decline in employment
• Governance failure
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 12-14 subdomains, with strong focus on discrimination and bias (1.1, 1.3), privacy violations (2.1), misinformation (3.1), surveillance and manipulation (4.1), overreliance (5.1), loss of agency (5.2), governance structures (6.5), and system safety failures (7.1, 7.3, 7.4). Coverage is concentrated in discrimination, privacy, human-computer interaction, and AI system safety domains.

Sector coverage

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

• Finance & Insurance
• Educational Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)

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

• Information
• Real Estate, Rental & Leasing
• Scientific Research & Development Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document governs automated systems across all sectors where they have potential to meaningfully impact rights, opportunities, or access. It explicitly identifies and provides detailed coverage for sensitive domains including healthcare, criminal justice, employment, education, and financial services. Additional sectors covered include public administration, information/technology, and housing.

Legislative Status

Soft Law

Legislative Status Summary

This is a non-binding set of principles and recommendations issued by the Executive Office of the President. The document uses predominantly voluntary language ('should'), lacks enforcement mechanisms, penalties, or sanctions, and explicitly states it is 'meant to assist governments and the private sector in moving principles into practice' rather than creating binding legal obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Executive Office of the President
• Summary: The document is issued by the Executive Office of the President as indicated in the title and authority section. It represents a federal government initiative to establish principles for AI governance.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_Governance_Actor
• Entities: Designers, developers, and deployers of automated systems; Federal government agencies; Private sector companies; State and local governments
• Summary: The document explicitly addresses multiple categories of actors who create, deploy, or govern automated systems. It applies to both public and private sector entities that develop or use automated systems with potential to meaningfully impact rights, opportunities, or access.

Enforcer

• Summary: The document does not specify enforcement mechanisms or enforcement bodies. As a soft law framework with voluntary principles, it lacks designated enforcers. The document explicitly states that 'Ensuring some of the additional protections proposed in this framework would require new laws to be enacted,' indicating that enforcement would depend on future legislative action.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Independent evaluators; Researchers; Journalists; Ethics review boards; Inspectors general; Third-party auditors
• Summary: The document calls for independent evaluation and monitoring by various oversight bodies, though these are recommended rather than formally designated. It emphasizes the role of independent parties in assessing compliance with the principles.

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 stages of the AI lifecycle, with particularly strong emphasis on design, testing/validation, deployment, and ongoing monitoring. It addresses the entire lifecycle from initial planning through operational monitoring, with detailed requirements for each stage.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document uses the broad term 'automated systems' throughout and explicitly defines it to include AI and machine learning systems. It does not use specialized terminology like 'frontier AI,' 'general purpose AI,' 'foundation models,' or 'generative AI.' There is no mention of compute thresholds or open-weight models. The document focuses on automated systems broadly rather than specific AI model types.