Turning AI ambition into action: How the OECD is engaging at India’s AI Impact Summit

OECD AI Policy Observatory OECD Published: 2026-02-10 13:10:21

AI governance has entered a rapidly expanding phase. After defining values, principles and risk frameworks, policymakers and organisations of all sizes are confronting operational questions: how to en…

No full content stored. Use “Open Source” to read the original.

Open Source → View topic (Trending) →

Recommended reads

Rethinking AI data: From scraping to sustainable and ethical data sharing From OECD

AI training data is scarce despite abundance. VIADUCT explores ethical data sharing, scraping limits, copyright, GDPR, trust and fairness for sustainable AI ecosystems. The post Rethinking AI data: Fr…

OECD AI Policy Observatory · OECD 2026-03-31

To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle From OECD

Participatory AI often stops at consultation. Why governance infrastructure, community authority and lifecycle oversight are essential for trustworthy AI. The post To be truly participative, stakehold…

OECD AI Policy Observatory · OECD 2026-03-24

Why AI Sandboxes matter for responsible innovation and public trust From OECD

AI regulatory sandboxes in AI governance: benefits, design, global examples and policy insights to foster innovation, trust and compliance. The post Why AI Sandboxes matter for responsible innovation …

OECD AI Policy Observatory · OECD 2026-03-18