The G7 Hiroshima AI Process

The 2023 G7 Hiroshima AI Process (HAIP) delivered a Comprehensive Policy Framework that included:

Under Italy’s G7 2024 Presidency, G7 members concentrated on effectively advancing these outcomes. At the request of the G7 membership and following the commitments outlined in the Trento Declaration, the G7 Digital and Tech Working Group, under the Italian Presidency, urged the OECD to identify and develop appropriate mechanisms for monitoring the voluntary adoption of the Hiroshima AI Process International Code of Conduct by organizations choosing to implement it.

In their Apulia Communiqué G7 leadersreaffirmed their commitment to developing a Reporting Framework in cooperation with the OECD. Building on this, the G7 Joint Statement adopted at the Digital and Technology Ministerial Meeting resolved to complete and advance the Reporting Framework by the end of the year.

The reporting framework

Following a successful pilot phase in mid-2024, the operational framework now provides a standardized approach for organizations to demonstrate their alignment with the Code of Conduct's actions. For the first time, companies can offer transparent, comparable information about their AI risk management practices, risk assessment, incident reporting, and information sharing mechanisms.

Based on the Hiroshima AI Process International Code of Conduct's 11 actions, the Reporting Framework has structured questions to help organizations align their practices with the Code of Conduct. This interactive online interface allows organizations to report on practices and policies corresponding to these actions. The Framework interoperates with similar initiatives, notably risk management frameworks and due diligence guidance for responsible business conduct in AI.

The Framework was developed in collaboration with all stakeholder communities, incorporating input from government, the private sector, academia, civil society, and research institutions.

Organizations that participated in the task force to inform the development of the reporting framework
Anthropic Amazon Web Services (AWS) Databricks German Research Center for Artificial Intelligence (DFKI) Google GoogleDeepMind iGenius Laboratoire national de métrologie et d'essais (LNE) Leonardo Meta Microsoft Mistral AI Nippon Electric Company (NEC) Nippon Telegraph and Telephone (NTT) OpenAI OpenText SaferAI