How the HAIP Reporting Framework improves AI transparency and governance

A blog article by the Organisation for Economic Co-operation and Development (OECD) discusses how the "black box challenge" has established transparency as a fundamental governance objective in the artificial intelligence (AI) revolution. As regulatory instruments proliferate, the risk of fragmentation across the AI value chain is also increasing.

To address this fragmentation, the G7 Hiroshima AI Process (HAIP) Framework, adopted in March 2024 and publicly launched in February 2025, is a new voluntary mechanism designed to foster global convergence and interoperability in AI governance. The framework offers a structured template for disclosures on core governance practices, including risk identification, mitigation, and accountability.

With 20 organisations across seven countries already using it, HAIP is positioned to set a global standard for credible transparency. By standardising reporting, the framework is filling a gap between governance norms and usable tools, effectively positioning disclosure as an operational discipline to be matured and scaled across the entire AI ecosystem, from frontier model developers to infrastructure providers.

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