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.
The Future Society puts forward three ways to structure the AISI Network to enhance collaboration.
November 18, 2024 — 8 min read
The standards in the Catalogue will be continuously updated as new ones are published.
September 9, 2024 — 3 min read
The OECD and partners are launching a public consultation on AI risk thresholds.
July 26, 2024 — 4 min read
Like financial audits, algorithm audits are becoming the norm in AI.
July 4, 2024 — 5 min read
The principles now address better address issues related to safety, privacy, intellectual property rights and information integrity.
May 20, 2024 — 5 min read
Miscommunication and hype surrounding AI can lead to misunderstandings and hinder progress.
March 25, 2024 — 6 min read
Scraped data can advance social good and do harm. How do we get it right?
March 5, 2024 — 8 min read
