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 and the Environment
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.
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This paper develops a framework distinguishing AI users from developers and generative from non-generative AI, explaining how competitive dynamics vary.
July 30, 2026
This report discusses the policy responses needed to harness AI’s transformative potential while mitigating its social and economic risks.
July 8, 2026
OECD.AI Index is a composite framework measuring national AI capabilities, policy implementation, R&D, infrastructure, jobs & skills for evidence-based AI governance.
February 19, 2026
Venture capital investment in AI through 2025: global trends, generative AI growth, mega-deals, US dominance, and OECD data insights.
February 17, 2026
OECD.AI analysis of media-reported AI incidents reveals emerging risk patterns across synthetic media, privacy, cyberattacks and health.
February 16, 2026
Analysis of AI adoption in EU agriculture, health, manufacturing and mobility, highlighting barriers, skills gaps, data challenges and policy needs.
February 10, 2026
OECD’s AI trajectories report maps four scenarios to 2030, informing future policy and feeding into the International AI Safety Report 2026’s risk and safety insights.
February 3, 2026
Member States’ Actions Release date: 10 November 2025 This report examines how EU Member States are implementing national strategies and policy initiatives to foster the development and adoption of artificial intelligence (AI) in accordance with the European Union Coordinated Plan on AI. It draws on findings from an ad-hoc survey and interviews with policymakers conducted […]
November 3, 2025
These are preliminary insights from 20 organisations across diverse sectors and countries, about their approaches to AI risk identification and management, transparency, governance, content authentication and AI safety research.
September 25, 2025
This technical paper introduces a novel methodology for identifying “AI patents” – patents protecting inventions related to artificial intelligence.
September 24, 2025
