AI Risk & Accountability
AI has risks and all actors must be accountable.
AI Incidents
To manage risks, governments must track and understand AI incidents and hazards.
AI Compute & Climate
AI computing capacities and their environmental impact.
AI Futures
AI’s potential futures.
AI, Data & Privacy
Data and privacy are primary policy issues for AI.
AI & Health
AI can help health systems overcome their most urgent challenges.
Generative AI
Managing the risks and benefits of generative AI.
WIPS
Programme on Work, Innovation, Productivity and Skills in AI.
AI Index
The OECD AI will be a synthetic measurement framework on Trustworthy Artificial Intelligence (AI)
Catalogue Tools & Metrics
Explore tools & metrics to build and deploy AI systems that are trustworthy.
AI Incidents Monitor
Gain valuable insights on global AI incidents.
OECD AI Principles
The first IGO standard to promote innovative and trustworthy AI
Policy areas
Browse OECD work related to AI across policy areas.
Publications
Find OECD publications related to AI.
Videos
Watch videos about AI policy the issues that matter most.
Context
AI is already a crucial part of most people’s daily routines.
What we do
Countries and stakeholder groups join forces to shape trustworthy AI.
Network of Experts
Experts from around the world advise the OECD and contribute to its work.
Partners
OECD.AI works closely with many partners.
Exploring how to ensure AI systems are accountable to the public.
Explore tools and metrics to develop and deploy AI systems that are trustworthy.
This report provides an analysis of the commonalities of AI risk management frameworks.
An overview of how integrating risk-management frameworks and the AI system lifecycle can promote trustworthy AI.
