AI Risk & Accountability
AI has risks and all actors must be accountable.
AI, Data & Privacy
Data and privacy are primary policy issues for AI.
Generative AI
Managing the risks and benefits of generative AI.
Future of Work
How AI can and will affect workers and working environments
AI Index
The OECD AI will be a synthetic measurement framework on Trustworthy Artificial Intelligence (AI)
AI Incidents
To manage risks, governments must track and understand AI incidents and hazards.
Data Governance
Expertise on data governance to promote its safe and faire use in AI
Responsible AI
The responsible development, use and governance of human-centred AI systems
Innovation & Commercialisation
How to drive cooperation on AI and transfer research results into products
AI Compute & Climate
AI computing capacities and their environmental impact.
AI & Health
AI can help health systems overcome their most urgent challenges.
AI Futures
AI’s potential futures.
WIPS
Programme on Work, Innovation, Productivity and Skills in 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.
In 1980 and again in 1985, an international group of scientists came together in Villach, Austria, to discuss a concerning trend. The climate was heating, and human activity seemed part of the cause. ...
November 5, 2024 — 6 min read
Daily use of AI models in production is very energy-consuming. Each user request triggers a complex operation.
October 14, 2024 — 4 min read
Artificial Intelligence (AI) has a profound effect on societies around the globe. Its application improves the lives of many, but it can also increase inequities. To safeguard against AI’s negative im...
October 4, 2024 — 6 min read
Air pollution and carbon emissions are well-known environmental costs of AI. But water consumption is also an issue.
November 30, 2023 — 8 min read
We need better tools and clear regulations to reduce AI’s carbon footprint.
August 11, 2023 — 8 min read
All actors of the AI ecosystem must work together to reduce data’s CO2 footprint.
August 7, 2023 — 7 min read
We need AI to mitigate climate change. What can policy makers do?
May 30, 2023 — 6 min read
AI computing has positive and negative effects on the planet.
November 17, 2022 — 5 min read
Smart energy systems can help manage energy more sustainably, but there will be trade-offs
November 9, 2022 — 5 min read
Practitioners can dramatically lower the carbon footprint of ML by choosing the best options for the “4Ms”.
April 12, 2022 — 4 min read
To date, many governments do not know how much compute capacity they need to achieve their AI goals.
February 8, 2022 — 6 min read
Recommendations for government action ahead of COP26 from the Centre for AI and Climate Change, Global Partnership on Artificial Intelligence, and Climate Change AI
October 30, 2021 — 5 min read