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.
As AI evolves, so must AI occupations and associated skills.
October 24, 2024 — 7 min read
Six crucial policy considerations to harmonise AI’s advancements with privacy principles
June 26, 2024 — 4 min read
Responsible AI principles are vital to African economic policymaking but need to be tailored.
June 19, 2024 — 7 min read
Germany stands at a crucial juncture in its journey towards becoming a global leader in AI.
June 11, 2024 — 4 min read
Canada’s journey to close its AI compute gap is not just an innovation challenge; it’s a societal imperative.
April 16, 2024 — 7 min read
The dialogue facilitated discussions on AI governance and addressed joint challenges.
April 12, 2024 — 7 min read
Marrying AI with DLT or blockchain opens avenues for enhanced security, data integrity, and reliability.
January 17, 2024 — 3 min read
The United States is addressing AI holistically by focusing on the potential of AI to boost prosperity and overcome major societal challenges.
December 20, 2023 — 9 min read
Generative AI has escalated the need to responsibly address AI data and model sharing.
December 8, 2023 — 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
Ethical risks are a gamble for digital products.
July 11, 2023 — 6 min read
Synthetic data could help reduce criminal activity without the privacy trade off.
May 25, 2023 — 7 min read
From identification to language technologies, India has a lot going on.
January 30, 2023 — 8 min read
RAIL licenses can help spread responsible AI.
October 21, 2022 — 7 min read
AI models may perpetuate historical social inequities through biased outcomes.
October 18, 2022 — 7 min read
A video series, where policymakers from Egypt, Singapore, Canada, Germany and the United Kingdom showcase their AI strategies.
April 28, 2021 — 4 min read
The report is an independent initiative within Stanford University’s Human-Centered Artificial Intelligence Institute and in its third year.
July 8, 2020 — 4 min read
