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.
AI in Government
Governments are not only AI regulators and investors, but also developers and users.
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
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.
AI Policy Toolkit
Map your AI policy landscape, identify priorities and explore policy examples
Catalogue Tools & Metrics
Explore tools & metrics to build and deploy AI systems that are trustworthy.
AIM: AI Incidents and Hazards Monitor
Gain valuable insights on global AI incidents and hazards.
The Hiroshima AI Reporting Framework
Organisations developing advanced AI systems can participate by submitting a report. By sharing information, they will facilitate transparency and comparability of risk mitigation measures.
OECD AI Principles
The first IGO standard to promote innovative and trustworthy AI
Policy areas
Browse OECD work related to AI across policy areas.
Papers & Publications
OECD and GPAI publications on AI, including the OECD AI Papers Series.
Videos
Watch videos about AI policy the issues that matter most.
Context
AI is already a crucial part of most people’s daily routines.
About OECD.AI
OECD.AI is an online interactive platform dedicated to promoting trustworthy, human-centric AI.
About GPAI
The GPAI initiative and OECD member countries’ work on AI joined forces under the GPAI brand to create an integrated partnership.
Community of Experts
Experts from around the world advise GPAI and contribute to its work.
Partners
OECD.AI works closely with many partners.
by Karine Perset, Luis Aranda
2024 saw remarkable progress in AI policy and governance, including our integrated partnership with GPAI and OECD countries.
January 20, 2025 — 4 min read
by Niki Iliadis , Mai Lynn Miller Nguyen
We invite our global community to join an interactive livestream of the full day of roundtable discussions.
November 20, 2024 — 4 min read
by Frank Ryan, Niki Iliadis , George Gor
The Future Society puts forward three ways to structure the AISI Network to enhance collaboration.
November 18, 2024 — 8 min read
by Hadrien Pouget
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
by Alexandre Variengien, Charles Martinet
Countries are establishing specialised bodies to evaluate AI systems’ capabilities and risks, and more.
July 29, 2024 — 7 min read
by OECD Organisation for Economic Co-operation and Development
The OECD and partners are launching a public consultation on AI risk thresholds.
July 26, 2024 — 4 min read
by Adriano Koshiyama, Siddhant Chatterjee, Emre Kazim, Airlie Hilliard
Like financial audits, algorithm audits are becoming the norm in AI.
July 4, 2024 — 5 min read
by Salil Gunashekar, Henri Van Soest
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
by Volha Litvinets, Mira Pijselman
Miscommunication and hype surrounding AI can lead to misunderstandings and hinder progress.
March 25, 2024 — 6 min read
by Saurabh Mishra, Andrea Renda, Amin Aria
Reliability engineering principles can be applied to AI systems to ensure safety and performance.
December 12, 2023 — 9 min read
