Topic

OECD

The Organisation for Economic Co-operation and Development (OECD) is an intergovernmental organization of 38 member countries that develops evidence-based policy recommendations on a wide range of issues, including artificial intelligence governance. The OECD has established influential AI principles and frameworks that guide responsible AI development and deployment across member nations, making it a key reference point for organizations aligning with international AI governance standards. For enterprises, OECD guidance on AI accountability, transparency, and risk management helps inform compliance strategies and demonstrates alignment with globally recognized best practices in AI governance.

2 items

ResearchISO/OECD/UN2026-05-26

Global AI Governance Needs Proactive, Adaptive Frameworks, ITU Report Finds

The International Telecommunication Union released the Annual AI Governance Report 2025: Steering the Future of AI, providing a comprehensive overview of global AI governance developments and calling for inclusive, adaptive policy responses to AI's rapid evolution. The report is framed as an institutional reference document rather than a binding regulatory instrument. It draws on frameworks developed across ISO, OECD, and UN bodies to assess governance gaps and emerging priorities.

AI governance international policy regulatory alignment risk management ITU ISO 42001 OECD United Nations adaptive governance transparency

ResearchGlobal2026-04-19

AI Incidents Rising and Responsible AI Evals Still Rare Among Major Developers, Stanford HAI 2025 Index Finds

Stanford University's Human-Centered Artificial Intelligence institute published its 2025 AI Index Report on April 1, 2025, providing a global analysis of AI research, development, and governance trends. The report documents an increase in AI-related incidents and finds that standardized responsible AI evaluations remain rare among major industrial model developers, identifying a gap between organizational recognition of RAI risks and concrete action. New safety and factuality benchmarks including HELM Safety, AIR-Bench, and FACTS are highlighted as emerging tools for assessing model behavior, though adoption is limited. Governments across multiple jurisdictions accelerated regulatory output during the period covered, with frameworks from the OECD, EU, and United Nations emphasizing transparency and trustworthiness requirements. For enterprise compliance teams, the report reinforces pressure to formalize RAI evaluation processes and signals that regulators are moving from principle-setting toward enforceable standards. Organizations that have not yet aligned internal AI governance practices with emerging benchmarks and government frameworks face increasing exposure as scrutiny from regulators and auditors intensifies.

Stanford HAI responsible AI RAI evaluation AI incidents benchmarking model evaluation transparency EU AI Act OECD global governance