Building Trust through AI Governance and Transparency: Learning from the Hiroshima AI Process
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| Transparency Report for AI Governance Handbook (Version 1.0) |
| Date(s) | Thursday, November 27, 2025, 16:00–18:00 |
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| Venue |
Chiyoda-ku, Tokyo (details will be provided to registered participants) Pre-registration required via Google Form Approx. 50 participants (in-person; lottery if oversubscribed)
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| Registration | Pre-registration required (If you would like to be informed of the YouTube link, please register via Google Form.) |
| Language | Japanese only |
| Abstract |
As the social implementation of AI advances, a key challenge for both companies and public organizations—domestically and globally—is how to ensure transparency and build trustworthy AI governance. In recent years, an increasing number of organizations have begun to publish “transparency reports” describing their approaches to AI development and use.
This event offers a practical opportunity to learn about the significance and methodology of preparing such transparency reports. Using the draft handbook “Transparency Report Handbook for AI Governance”—developed under the supervision of the Ema Laboratory at the University of Tokyo—participants will explore how to organize internal information, prepare reports, facilitate organizational consensus, and conduct effective governance meetings.
The program will also feature a case study of the Hiroshima AI Process (HAIP), an international initiative launched following the G7 Hiroshima Summit, to understand how different countries and companies voluntarily disclose their AI-related practices to foster international trust.
We will also provide time for participants to exchange information and share practical challenges and solutions related to AI governance. This session aims to foster discussion on how organizations can both embed AI governance within their internal operations and build international trust. We welcome participation from organizations and companies interested in advancing responsible AI governance.
Related events
Reference Hiroshima AI Process: https://www.soumu.go.jp/hiroshimaaiprocess/en/index.html HAIP Reporting Framework（OECD.AI）: https://transparency.oecd.ai/ The HAIP Reporting Framework: Feedback on a quiet revolution in AI transparency : https://oecd.ai/en/wonk/the-haip-reporting-framework-feedback-on-a-quiet-revolution-in-ai-transparency The HAIP Reporting Framework: Feedback on a quiet revolution in AI transparency : https://oecd.ai/en/wonk/the-haip-reporting-framework-feedback-on-a-quiet-revolution-in-ai-transparency Preliminary Insights and Recommendations for HAIP Reporting Framework – Based on HAIP Participant Organizations Interviews : WORKING PAPER SLIDES Transparency and Integrity in HAIP Reporting Framework -Insights and |
| Program |
Part I
16:10–16:25
16:25–16:40 Moderator: Fumiko Kudo (Osaka University)
16:40–16:55
–Room Transition–
Part II |
| Organized by | Tokyo College, The University of Tokyo; Institute for Future Initiatives, The University of Tokyo; Next Generation Artificial Intelligence Research Center, The University of Tokyo; Japan Deep Learning Association |
| Supported by | Cabinet Office; Ministry of Internal Affairs and Communications; The AI Safety Institute; The University of Osaka Research Center on Ethical, Legal and Social Issues |
| Contact |
tg-event@tc.u-tokyo.ac.jp The organizers—Tokyo College, the Institute for Future Initiatives and Next Generation Artificial Intelligence Research Center of the University of Tokyo, and Japan Deep Learning Association—will collect personal information of registrants solely for event management purposes. This information will not be shared with any third party outside the organizing and supporting institutions. |
