Investors are beginning to treat trustworthy AI as a material business factor. The challenge now is helping guide capital flows towards firms developing and deploying trustworthy AI. The post Investor…
Jurisdiction: OECD
OECD AI policy refers to the regulatory and governance framework shaping how AI systems are developed, deployed, and overseen within OECD, including laws, guidance, enforcement signals, and official initiatives.
56 articles
TOP SOURCES
OECD AI Policy Overview
The OECD shapes international norms for trustworthy AI and policy coordination. This page highlights OECD statements, frameworks, and member-driven initiatives that influence global convergence.
Read full policy overview
The OECD plays a major role in shaping international norms and policy coordination around trustworthy AI. This page highlights OECD statements, reports, frameworks, and member-driven initiatives that influence global policy convergence.
What this page covers
Items may include OECD recommendations, analytical reports, measurement initiatives, and coordination efforts among member countries. OECD outputs often serve as reference points for national strategies and cross-border policy alignment.
Why it matters
OECD frameworks can indirectly affect regulation by setting expectations for risk management, accountability, and governance. They are frequently cited by governments and international organizations when crafting national AI strategies.
Topics to watch
Key themes include trustworthy AI principles, policy toolkits, evaluation and measurement work, and interoperability across governance approaches. Monitoring OECD outputs helps anticipate policy harmonization trends.
FAQ
Q. Is OECD policy binding?
A. Typically not binding like domestic law, but influential as an international policy reference.
Q. How should I use this feed?
A. Track new OECD outputs and follow source links for primary documents and official releases.
LATEST UPDATES
56 items
This blog article explores how HAIP 2.0 and the EU instruments intersect, where they diverge, and why their complementarity matters for effective AI governance. The post Bridging frameworks: How HAIP …
Agentic AI raises new questions about how governments can maintain standards of safe, secure and trustworthy AI while machines act on their behalf. The post Governing with agentic AI: when machines ac…
How are different organisations using agentic AI in practice? What governance approaches are they adopting to manage it responsibly? The post Putting agentic AI systems to work: What practitioners rev…
Explore AI supervision in finance, FCA AI Live Testing, risk management, governance and responsible AI innovation in financial markets. The post Can the finance sector oversee AI innovation while main…
A five-step roadmap for closing the AI evaluation gap to strengthen trust, security, adoption and effective AI governance. The post A five-step roadmap to closing the AI evaluation gap appeared first …
How Salesforce sees the HAIP Reporting Framework reducing AI governance fragmentation. The post HAIP is transforming transparency from a compliance burden to a competitive advantage appeared first on …
This three-part blog series explores the growing complementarity between artificial intelligence (AI) and quantum technologies. The post How quantum technologies could open new frontiers for AI appear…
New OECD analysis reveals how people use GenAI chatbots across countries and demographics, using web traffic data from Similarweb. The post How people are using GenAI chatbots: Evidence from web traff…
AI can strengthen food security, resilience and sustainability in agriculture. Explore key challenges and opportunities for agri-food systems. The post AI for inclusive and resilient agri-food systems…