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.
Like financial audits, algorithm audits are becoming the norm in AI.
July 4, 2024 — 5 min read
The study covers tools for trustworthy AI in the UK and the U.S. and prospects for future alignment.
June 20, 2024 — 4 min read
Complete and accurate definitions of AI incidents and hazards should capture all aspects of harm.
May 17, 2024 — 5 min read
Scraped data can advance social good and do harm. How do we get it right?
March 5, 2024 — 8 min read
In 2023, OECD.AI helped members and other countries shape AI policy. Here’s a review of our most significant achievements.
January 9, 2024 — 3 min read
Reliability engineering principles can be applied to AI systems to ensure safety and performance.
December 12, 2023 — 9 min read
AIM is the first step to producing evidence and foresight on AI incidents for sound policymaking and international cooperation.
November 14, 2023 — 4 min read
As digital devices and risks increase, more actors find themselves at the intersection of AI and cybersecurity.
October 1, 2020 — 9 min read
