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 Jeff Mollins, Clemence Descubes, Luis Aranda, Sara Rendtorff-Smith
New OECD analysis reveals how people use GenAI chatbots across countries and demographics, using web traffic data from Similarweb.
June 30, 2026 — 10 min read
by Marine Collins Ragnet
Participatory AI often stops at consultation. Why governance infrastructure, community authority and lifecycle oversight are essential for trustworthy AI.
March 24, 2026 — 8 min read
by Arisa Ema, Fumiko Kudo, Toshiya Jitsuzumi
The findings reveal a picture that is both promising and complex, with lessons for the future of global AI governance.
July 11, 2025 — 3 min read
by Eunseo Dana Choi, Luis Aranda
The Policy Navigator simplifies the process of tracking and submitting AI policy information, while dramatically increasing coverage and usability.
July 10, 2025 — 2 min read
by Sayoko Blodgett-Ford
Accurate forecasts of power consumption for AI should be available following OECD AI Principle 1.1: “Inclusive growth, sustainable development, and well-being.” However, these details are often closel...
May 7, 2025 — 7 min read
by Audrey Plonk, Karine Perset, Sara Fialho Esposito
The publication of these reports reflects the first tangible outcomes of the reporting mechanism launched in February 2025.
April 24, 2025 — 2 min read
by Kamya Jagadish
Transparency in AI development is an ongoing process and must evolve with the technology.
April 1, 2025 — 3 min read
by Audrey Plonk, Sara Fialho Esposito, Karine Perset
This milestone marks a significant advancement in international AI governance and the safety of advanced AI systems.
February 7, 2025 — 3 min read
by Francesca Rossi, Michael Schoenstein, Stuart Russell
Governments must consider AI’s medium- and long-term implications.
December 19, 2024 — 9 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
