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.
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
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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.
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.
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Context
AI is already a crucial part of most people’s daily routines.
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Countries and stakeholder groups join forces to shape trustworthy AI.
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OECD.AI works closely with many partners.
Reliability engineering principles can be applied to AI systems to ensure safety and performance.
December 12, 2023 — 9 min read
