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.
Countries are establishing specialised bodies to evaluate AI systems’ capabilities and risks, and more.
July 29, 2024 — 7 min read
the OECD and G7 members are taking a crucial step towards fostering a safer and more trustworthy AI ecosystem.
July 23, 2024 — 3 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
Four years on, how are countries putting the OECD AI Principles into practice?
October 31, 2023 — 9 min read
Canada could look to international initiatives for guidance.
March 1, 2023 — 5 min read
Some instances of emerging regulations, case law, and guidance across jurisdictions in the employment context.
December 6, 2022 — 8 min read
The classification framework can help policy makers understand and map the affects of AI systems on societies and economies.
February 17, 2022 — 4 min read
To date, many governments do not know how much compute capacity they need to achieve their AI goals.
February 8, 2022 — 6 min read
Gender (dis)parities between countries are expected, but the countries with the widest and narrowest gaps may surprise you.
December 9, 2021 — 8 min read
Globalpolicy.AI is a chance for the OECD to reiterate its commitment to the Sustainable Development Goals, human rights and democracy.
September 14, 2021 — 3 min read
In 2020, a new class of large-scale AI models emerged in the research community and one fourth of countries have an AI strategy.
June 9, 2021 — 4 min read
The framework helps AI practitioners determine which tool fits their use case and how well it supports the OECD AI Principles for trustworthy AI.
May 25, 2021 — 6 min read
Canada’s AI strategy emphasizes responsible innovation and economic growth, grounded in human rights, inclusion and diversity. First in a five part series on national AI policies.
May 4, 2021 — 16 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
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
