The OECD.AI Policy Navigator

This report introduces the OECD's beta AI Capability Indicators. The indicators are designed to assess and compare AI advancements against human abilities.

This paper presents a common framework for reporting artificial intelligence (AI) incidents that provides a global benchmark for stakeholders across jurisdictions and sectors. The framework enables countries to adopt a common reporting approach while allowing them to tailor responses to their domestic policies and legal frameworks.

This report proposes definitions for AI incidents and related terms. These definitions aim to foster international interoperability while providing flexibility for jurisdictions to determine the scope of AI incidents and hazards they wish to address.

This Toolkit is a comprehensive guide designed to help policymakers and public sector leaders translate principles for safe, secure, and trustworthy Artificial Intelligence (AI) into actionable policies.

Explanatory memorandum on the updated OECD definition of an AI system.

The OECD AI Incidents and Hazards Monitor (AIM) documents AI incidents and hazards to help policymakers, AI practitioners, and all stakeholders worldwide gain valuable insights into the risks and harms of AI systems.

The OECD AI Index aims to design and implement a synthetic measurement framework on Trustworthy Artificial Intelligence (AI), leveraging the framework of the ten principles for trustworthy AI contained in the OECD Recommendation on Artificial Intelligence.

The G7 Hiroshima Process on Generative Artificial Intelligence (AI) was initiated during Japan's G7 Presidency in May 2023. This process aimed to develop a comprehensive policy framework addressing the opportunities and challenges posed by generative AI. This led to the creation of the Hiroshima AI Process (HAIP) Reporting Framework, which was launched in February 2025.