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.
Local initiatives and international collaboration can help realise greater equality.
November 27, 2024 — 7 min read
As AI developments soar, who owns and has the rights to AI-generated work?
June 6, 2023 — 7 min read
From identification to language technologies, India has a lot going on.
January 30, 2023 — 8 min read
AI computing has positive and negative effects on the planet.
November 17, 2022 — 5 min read
Developing a living repository that classifies AI systems designed to fight COVID-19.
April 6, 2022 — 8 min read
Trustworthy AI requires access to data and data stewardship.
February 14, 2022 — 4 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
We need better understandings of the role data trusts can play in data stewardship and the operational strategies that can implement data trusts methods in practice.
August 3, 2021 — 4 min read
This document features some of the ideas this GPAI Working Group developed in 2021.
July 30, 2021 — 3 min read
The AI and Pandemic Response Working Group (AIPR WG) which was formed in light of the current international context.
June 9, 2021 — 2 min read
Responsible AI strategy for the environment and for social media governance are this working group’s priorities.
June 3, 2021 — 2 min read
Our goal is to study and recommend practical tools, methods and public actions that enable private actors and research organizations.
October 13, 2020 — 6 min read
Jeni Tennison, Co-Chair of GPAI’s Working Group on Data Governance, introduces her working group and its mission.
August 21, 2020 — 6 min read
GPAI’s governance bodies – a Council and a Steering Committee – will be supported by a Secretariat housed at the OECD.
July 9, 2020 — 3 min read