AI Risk & Accountability
AI has risks and all actors must be accountable.
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Data and privacy are primary policy issues for AI.
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Managing the risks and benefits of generative AI.
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How AI can and will affect workers and working environments
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The OECD AI will be a synthetic measurement framework on Trustworthy Artificial Intelligence (AI)
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To manage risks, governments must track and understand AI incidents and hazards.
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Governments are not only AI regulators and investors, but also developers and users.
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Expertise on data governance to promote its safe and faire use in AI
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The responsible development, use and governance of human-centred AI systems
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How to drive cooperation on AI and transfer research results into products
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AI computing capacities and their environmental impact.
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AI can help health systems overcome their most urgent challenges.
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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.
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
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Browse OECD work related to AI across policy areas.
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OECD and GPAI publications on AI, including the OECD AI Papers Series.
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Context
AI is already a crucial part of most people’s daily routines.
About OECD.AI
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The GPAI initiative and OECD member countries’ work on AI joined forces under the GPAI brand to create an integrated partnership.
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Mid-sized economies can preserve AI sovereignty through multinational cooperation, pooling talent and compute to reduce dependency on dominant AI powers.
December 16, 2025 — 6 min read
