G7 Hiroshima AI Process Code of Conduct

Scope and obligations

Voluntary commitments by frontier AI developers. 11-point code covering risk identification, deployment, content provenance, security investment, info sharing.

G7 Hiroshima AI Process Code of Conduct addresses 5 contested AI-governance topics explicitly, 3 via general principles,.

Topics governed

• governs
  Foundation Models / GPAI— Code applies to advanced AI
• governs
  Deepfakes / Synthetic Content— Code §5 (content provenance + watermarking)
• governs
  Transparency Obligations— Code §2 (publicly report capabilities, limitations)
• governs
  Catastrophic & Existential Risk— Code §1 + §3 — explicit risk-identification including CBRN
• implicit
  Technological Sovereignty— Adoption-by-developer framing; G7 carries implicit sovereignty assumptions
• implicit
  Agentic AI Governance— Code §1 'advanced AI systems' + §3 risk-identification cover agentic behaviour through capability frame
• governs
  Synthetic Content Provenance— Code §6 — 'develop and deploy reliable content authentication and provenance mechanisms'
• implicit
  Environmental Impact of AI Training— Code §6 references sustainable AI development; not detailed obligation

Cross-jurisdiction comparison

How peer instruments treat the topics G7 Hiroshima AI Process Code of Conduct governs.

°= industry self-imposed voluntary framework. Comparing a voluntary code's "governs" tint with a binding regulation's "governs" tint flattens the legal-force distinction; use the instrument-page banner for the operative status of each.

How to cite this article

Policy Window. (2023). G7 Hiroshima AI Process Code of Conduct [Wiki article — Instrument]. https://policywindow.org/wiki/g7-hiroshima-code

Policy Window. 2023. "G7 Hiroshima AI Process Code of Conduct." Wiki article (Instrument). https://policywindow.org/wiki/g7-hiroshima-code.

@misc{policywindow-g7-hiroshima-code,
  title  = {G7 Hiroshima AI Process Code of Conduct},
  author = {Policy Window},
  year   = {2023},
  howpublished = {G7 Hiroshima AI Process, Oct 2023},
  url    = {https://policywindow.org/wiki/g7-hiroshima-code},
  note   = {Primary source: https://www.mofa.go.jp/files/100573472.pdf}
}

Related debates — rival interpretations & counterevidence

Structured controversies where this instrument's provisions are the locus of disagreement. Each debate page lays out the competing positions with primary-source citations.

• Open-Source vs Closed-Source Frontier Models — Should the most-capable AI models be released under permissive licenses (open weights), or only via API / structured-access agreements? The dispute is foundational to nearly every frontier-AI governance instrument.
• Pre-Deployment Red-Team vs Post-Deployment Audit — Should AI capability + safety evaluations happen primarily before deployment (red-team gating release), or primarily after (post-deployment audit + incident response)?

Related instruments

• EU AI Act · EU
• Executive Order 14110 on Safe, Secure, Trustworthy AI · US
• Interim Measures for Generative AI Service Management · CN
• NIST AI Risk Management Framework · US
• Bletchley Declaration on AI Safety · global
• Seoul Declaration on Safe, Innovative and Inclusive AI · global
• NIST AI RMF Generative AI Profile · US
• California SB-1047: Safe and Secure Innovation for Frontier AI Models Act · US
• Brazil AI Bill (PL 2338/2023) · BR
• Anthropic Responsible Scaling Policy (RSP) v2 · US
• OpenAI Preparedness Framework · US
• Google DeepMind Frontier Safety Framework · US
• Meta Frontier AI Framework · US
• White House Voluntary AI Commitments · US
• Singapore Model AI Governance Framework for Generative AI · SG
• Japan METI AI Guidelines for Business · JP