Google AI Principles

• Authority: Private-sector companies
• Collections: Corporate policies and commitments
• Most recent activity: Enacted
• Most recent activity date: 2018-01-01

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
• Compromise of privacy
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Overreliance and unsafe use
• Loss of human agency and autonomy
• AI pursuing its own goals
• 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
• Unequal performance across groups
• AI system security vulnerabilities
• False or misleading information
• Fraud, scams, and targeted manipulation
• Competitive dynamics
• 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 unfair discrimination (1.1), toxic content (1.2), privacy (2.1), misinformation (3.1), malicious actors (4.1, 4.2), overreliance (5.1), loss of agency (5.2), and AI safety failures (7.1, 7.3). Coverage is concentrated in discrimination/toxicity, privacy, malicious use prevention, and AI safety domains.

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.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This is an internal corporate policy document from Google (an AI developer) that governs AI development across all sectors where Google operates. As a technology company, Google primarily operates in the Information sector and Scientific Research and Development Services sector. The document mentions potential AI applications across multiple sectors (healthcare, security, energy, transportation, manufacturing, entertainment) but as examples of social benefit rather than as sectors specifically governed by these principles.

Legislative Status

Other

Legislative Status Summary

This is an internal corporate policy document establishing voluntary principles and commitments for Google's AI development. It lacks binding legal enforcement mechanisms, penalties, or external regulatory authority, representing a self-imposed governance framework rather than hard or soft law.

Actors

Proposer

• Entity Types: AI_Developer
• Entities: Google
• Summary: The document is authored by Google as indicated by references to 'our commitment', 'our AI technologies', and 'Nature of Google's involvement' in evaluation criteria. This is Google's internal policy framework for AI development.

Target

• Entity Types: AI_Developer
• Entities: Google
• Summary: The principles apply to Google's own AI development and deployment activities, as evidenced by first-person commitments throughout the document ('we will design', 'we will not deploy', 'our AI technologies').

Enforcer

• Entity Types: AI_Developer
• Entities: Google
• Summary: As an internal corporate policy, Google itself is responsible for enforcing these principles within its own organization. No external enforcement body is mentioned.

Monitor

• Entity Types: AI_Developer
• Entities: Google
• Summary: Google commits to monitoring its own AI systems after deployment and evaluating uses against the stated principles, indicating self-monitoring responsibilities.

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 covers multiple AI lifecycle stages with primary focus on Plan and Design, Build and Use Model, Verify and Validate, and Deploy stages. It emphasizes design principles, development practices, testing protocols, and deployment criteria. The Operate and Monitor stage is also addressed through post-deployment monitoring commitments.

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 uses general terminology referring to 'AI technologies', 'AI systems', 'AI algorithms', and 'AI tools' without distinguishing between specific technical categories like foundation models, generative AI, or frontier AI. No compute thresholds or model-specific classifications are mentioned. The scope appears to cover all AI technologies developed by Google.