(Session co-organized with Microsoft).This session examines how international AI governance can be translated into practical tools across the AI value chain. Using the Hiroshima AI Process (HAIP) Reporting Framework as a case study, we will discuss what meaningful transparency looks like—not only for frontier model developers, but also for the broader AI ecosystem. We will unpack reporting elements such as risk profiles, evaluations, mitigations, incidents, and provenance, and explore interoperable templates can align with OECD, EU, US, and UK requirements. The goal is practical convergence: shared taxonomies and that reduce duplication, strengthen assurance, and make transparency reports comparable and portable across jurisdictions—helping both tech companies and governments to raise the bar for responsible AI and accountability.
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Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo.
