AI is surging not just in popularity and investment, but also in its physical scale. Behind every chatbot query or AI-powered service are data centres that consume large amounts of electricity, genera…
OECD AI Policy Observatory
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Quantum and AI together could drive the next digital revolution. Here are insights on opportunities, challenges, and future breakthroughs. The post Quantum and AI: A powerful partnership for the next …
No-code AI governance empowers the Global South to build local guardrails, bridge skills gaps, and enable inclusive, resilient adoption. The post From risk to resilience: No-code AI governance in the …
New Zealand released a suite of AI materials—a milestone as the last OECD country to publish a national AI strategy. The post New Zealand created its AI Strategy and Guidance products to incorporate O…
Discover key insights from the G7 Hiroshima AI Process transparency reports on AI governance, risk management, safety, and accountability. The post G7 AI transparency reporting: Ten insights for AI go…
Global AI red lines are one way to set enforceable limits on dangerous AI uses and behaviours to prevent unacceptable risks and build trust. The post AI governance through global red lines can help pr…
The OECD and Southeast Asia are shaping AI governance through dialogues and building tools for safe, trustworthy AI. The post A dynamic dialogue with Southeast Asia to put the OECD AI Principles into …
Sovereign AI and critical digital capacities can support assistive technologies, public services, and inclusive, resilient AI policy. The post Sovereign AI for assistive and public technologies: How p…
Egypt has accelerated its commitment to AI as a pillar of its vision for sustainable development. The post Governing AI with inclusion: An Egyptian model for the Global South appeared first on OECD.AI…
OpenAI introduced GPT-OSS, a series of open-weight AI models, in August 2025 to increase transparency and innovation in the AI community, sparking debates about the openness of such models. This move prompted discussions on finding a balance between innovation, transparency, and potential risks associated with sharing AI models.