Hiroshima Process International Guiding Principles for Advanced AI Systems

• Authority: Other multinational
• Jurisdiction: Multinational
• Collections: Multinational;Editors' Picks
• Most recent activity: Enacted
• Most recent activity date: 2023-10-30

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
• 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
• 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
• Exposure to toxic content
• Unequal performance across groups
• Compromise of privacy
• False or misleading information
• Pollution of information ecosystem
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Environmental harm

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 AI system security (2.2), malicious actors and misuse (4.1, 4.2, 4.3), governance structures (6.5), competitive dynamics (6.4), and AI safety failures (7.1, 7.2, 7.3, 7.4). Coverage is concentrated in security, misuse prevention, governance, and AI safety domains, with minimal attention to discrimination, privacy breaches, or socioeconomic impacts.

Sector coverage

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

• Information
• Scientific Research & Development Services
• Educational Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)
• National Security

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
• Finance & Insurance
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Management, Administrative & Support Services
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services

All other sectors had no coverage in this document.

Sectors Summary

This document governs AI development and deployment across all sectors. It is a cross-sectoral international framework that applies to organizations developing and using advanced AI systems regardless of industry. The principles are sector-agnostic and designed to apply universally to 'all AI actors' across academia, civil society, private sector, and public sector.

Legislative Status

Soft Law

Legislative Status Summary

This is a non-binding international guiding principles document that uses predominantly voluntary language ('should', 'encouraged', 'call on') and explicitly states it is meant to provide guidance rather than create legal obligations. It relies on voluntary adherence and organizational commitment rather than legal enforcement mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is produced through the Hiroshima Process, a G7 initiative, and explicitly references developing these principles 'with input from other nations and wider stakeholders in academia, business and civil society' and 'in consultation with the OECD, GPAI and other stakeholders'.

Target

• Entity Types: AI_Developer, AI_Deployer
• Summary: The document explicitly states it 'will provide guidance for organizations developing and using the most advanced AI systems' and that 'Organizations may include, among others, entities from academia, civil society, the private sector, and the public sector.' The principles apply to 'all AI actors' covering 'design, development, deployment and use of advanced AI systems.'

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The document does not establish a formal enforcement body but indicates that 'governments develop more enduring and/or detailed governance and regulatory approaches' and commits to 'develop proposals, in consultation with the OECD, GPAI and other stakeholders, to introduce monitoring tools and mechanisms to help organizations stay accountable.'

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document commits to developing monitoring tools and mechanisms in consultation with international organizations and encourages organizations to support development of effective monitoring mechanisms by contributing best practices.

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 explicitly covers all stages of the AI lifecycle, with particular emphasis on development (Build and Use Model), testing and validation (Verify and Validate), deployment (Deploy), and ongoing monitoring (Operate and Monitor). It also addresses planning and design considerations and data management practices.

Technical Scope

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

• AI Models
• Foundation Models
• AI Systems
• Generative AI

Technical Scope Summary

The document explicitly focuses on 'advanced AI systems, including the most advanced foundation models and generative AI systems.' It does not use compute thresholds or explicitly distinguish between general purpose and task-specific AI. It does not explicitly mention open-weight or open-source models, though it addresses model weights in security contexts. The document uses 'AI systems' and 'AI models' terminology throughout.