Voluntary Commitments from Leading Artificial Intelligence Companies

• Authority: Private-sector companies
• Collections: Corporate policies and commitments
• Most recent activity: Enacted
• Most recent activity date: 2023-07-21

Risk subdomain coverage

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

• AI system security vulnerabilities
• 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.

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Compromise of privacy
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Fraud, scams, and targeted manipulation
• Competitive dynamics
• Governance failure
• AI pursuing its own goals
• AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 10-12 subdomains, with strong focus on AI system security (2.2), malicious actors and misuse (4.1, 4.2, 4.3), competitive dynamics (6.4), governance failure (6.5), and AI safety failures (7.1, 7.2, 7.3). Coverage is concentrated in security, misuse prevention, transparency, and societal risk domains including discrimination and bias.

Sector coverage

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

• Information
• Scientific Research & Development Services

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

• Health Care & Social Assistance
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document governs AI development across the Information sector (where the seven named AI companies operate) and Scientific Research and Development Services (as these companies conduct AI R&D). The commitments apply to the companies' own AI development and deployment activities rather than regulating AI use in specific application sectors.

Legislative Status

Other

Legislative Status Summary

This document represents voluntary commitments from private AI companies secured by the Biden-Harris Administration, constituting a public-private partnership with non-binding obligations. The commitments are explicitly voluntary and lack formal enforcement mechanisms, penalties, or legal sanctions.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Biden-Harris Administration; White House; President Biden; Vice President Harris
• Summary: The Biden-Harris Administration convened the companies and secured these voluntary commitments, as evidenced by the document title and repeated references to the Administration's role in establishing this governance framework.

Target

• Entity Types: AI_Developer
• Entities: Amazon; Anthropic; Google; Inflection; Meta; Microsoft; OpenAI
• Summary: The document explicitly names seven leading AI companies that are making these voluntary commitments and are the targets of this governance framework.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Biden-Harris Administration; U.S. government agencies; Office of Management and Budget
• Summary: While the commitments are voluntary, the Administration indicates it will monitor compliance and take future action. Various government agencies are mentioned as having enforcement authorities for related AI risks.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Biden-Harris Administration; independent experts; third parties
• Summary: The document specifies that independent experts will conduct external testing, and third-party discovery and reporting of vulnerabilities will be facilitated, indicating a monitoring role for external parties alongside government oversight.

AI Lifecycle Stages

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

• Plan and Design
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on pre-deployment testing and validation (Verify and Validate), deployment procedures (Deploy), and post-deployment monitoring (Operate and Monitor). It also addresses design considerations and model development security.

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document refers to 'AI systems' and 'AI technology' broadly without defining specific technical categories. It does not explicitly mention frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on AI systems developed by leading companies without technical categorization.