IDAIS-Oxford Statement (2023)

Urges global cooperation between governments and AI developers to manage AI risks through the implementation of mandatory registration, third-party audits for advanced AI models, and immediate shutdown procedures for unsafe AI. Calls on AI developers and government agencies to increase investments into AI safety and governance research.

  • Authority: Other multinational
  • Jurisdiction: Multinational
  • Collections: Multinational
  • Most recent activity: Enacted
  • Most recent activity date: 2023-10-31

Risk subdomain coverage

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

  • AI system security vulnerabilities
  • False or misleading information
  • Disinformation, surveillance, and influence at scale
  • Cyberattacks, weapon development or use
  • Loss of human agency and autonomy
  • Competitive dynamics
  • Governance failure
  • AI pursuing its own goals
  • AI possessing dangerous capabilities
  • Lack of capability or robustness

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 malicious actors (4.1, 4.2), AI system security (2.2), 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, and AI safety domains.

Sector coverage

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

  • Information
  • Scientific Research & Development Services
  • Public Administration (excl. National Security)
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This is a cross-sectoral governance statement that does not target specific economic sectors. Instead, it provides general recommendations for AI governance applicable to all sectors where frontier AI systems are developed or deployed. The primary focus is on AI developers and government regulators rather than sector-specific applications.

Legislative Status

Soft Law

Legislative Status Summary

This is a non-binding statement that uses voluntary language ('recommend', 'should', 'call on') to urge governments and AI developers to take action, without any enforcement mechanisms or legal penalties.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is titled 'IDAIS-Oxford Statement (2023)' and represents a multinational statement urging global cooperation on AI governance.

Target

  • Entity Types: AI_Developer, AI_Governance_Actor
  • Summary: The document explicitly targets both governments and AI developers with recommendations and calls to action. It addresses 'Governments around the world — especially of leading AI nations' and 'leading AI developers' throughout.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The document recommends that governments establish enforcement mechanisms including registration systems, monitoring, audits, and shutdown procedures, with regulators having authority to approve deployments.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The document calls for monitoring through government tracking of AI incidents, third-party audits, and a global network of dedicated AI safety research and governance institutions to oversee AI development.

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 lifecycle stages with primary focus on Build and Use Model, Verify and Validate, Deploy, and Operate and Monitor stages. It emphasizes safety measures throughout development, pre-deployment validation, and post-deployment monitoring.

Technical Scope

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

  • AI Models
  • Frontier AI
  • AI Systems
  • Compute Threshold
  • Open Weight / Open Source

Technical Scope Summary

The document explicitly focuses on frontier AI systems and advanced AI models, with specific references to capability thresholds. It addresses both open-source models and proprietary systems, emphasizing models above certain capability levels.

https://idais.ai/idais-oxford/
https://agora.eto.tech/instrument/1196
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Document data from AGORA, CSET Emerging Technology Observatory.