G7 Hiroshima AI Process
The G7 Hiroshima AI Process was launched under Japan's G7 Presidency in 2023 with the goal of developing shared international guidance for the responsible development of advanced AI systems—particularly frontier models and generative AI. It produced two key instruments: the Hiroshima Process International Guiding Principles for Advanced AI Systems and a more detailed International Code of Conduct for Organisations Developing Advanced AI Systems.
The Guiding Principles, based on and consistent with the OECD AI Principles, establish a values-based framework for how frontier AI should be developed. The Code of Conduct goes further, providing specific practices across eleven areas: risk assessment and mitigation, security controls, transparency, privacy and data protection, governance structures, incident reporting and information sharing, responsible capabilities disclosure, research on risks, AI literacy and safety, watermarking and content provenance, and international cooperation on standards.
The Hiroshima Process is ongoing and continues to inform G7 discussions on AI governance, including subsequent work on interoperability between national AI governance frameworks and the development of AI safety evaluation methodologies.
Our take on this
The Hiroshima Process represents the G7's answer to a difficult question: how do you create meaningful international governance for frontier AI systems when countries have very different regulatory approaches? The answer was pragmatic: agree on principles and a code of conduct that sets a floor, then let each jurisdiction build their domestic frameworks on top. The result is an international baseline that's both authoritative—backed by the G7's economic weight—and flexible enough to accommodate different regulatory traditions.
The Code of Conduct is particularly valuable because it's designed specifically for frontier AI development—the kind of AI that can have significant societal impacts across multiple domains simultaneously. Unlike general AI governance frameworks, it addresses the unique challenges of foundation models: the opacity of their training data, the unpredictability of emergent capabilities and the difficulty of constraining use once deployed at scale.
Why this matters for Australian organisations
Australia is part of the G7's extended dialogue on AI governance through its relationships with G7 members, and Australian policy directly references Hiroshima Process outputs. The Voluntary AI Safety Standard's approach to supply chain accountability and transparency reflects the Code of Conduct's influence. Understanding where Australian policy comes from helps you anticipate where it's going.
More directly, if you're deploying frontier AI systems—large language models, multimodal models, AI agents—from major global vendors, those vendors are subject to Hiroshima Process expectations. Their service terms and governance documentation increasingly reflect those commitments. Understanding the Code of Conduct helps you evaluate vendor commitments critically rather than accepting compliance assertions at face value.
For Australian organisations building or fine-tuning AI systems, the Code provides a credible international benchmark for your development practices. Citing alignment with the Hiroshima Process Code alongside Australia's Voluntary AI Safety Standard demonstrates sophisticated, internationally-aware AI governance.
Practical steps for adoption
- Review the Code of Conduct's eleven areas against your AI development or deployment practices—they function as an advanced AI system risk assessment checklist.
- For frontier AI vendor assessments, use the Code as your evaluation framework: ask vendors specifically which commitments they've made under the Hiroshima Process and request their transparency disclosures.
- Incorporate the Code's incident reporting and information sharing principles into your AI incident response procedures.
- If you're developing AI systems, review the Code's guidance on responsible capability disclosure—this is an area where many organisations have no current policy but should.
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