Educational GenAI in low and middle-income areas
Is generative AI an amplifier of the digital divide across countries or will it help close it and provide new opportunities for better education and skills? This session will discuss the opportunities and challenges of GenAI in low and middle income countries/contexts. Beyond infrastructural issues, it will look at possible use cases for GenAI and AI for teachers and learners in areas where access to devices, connectivity and AI skills remains limited.
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GenAI and scientific research: opening new possibilities
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Developing GenAI tools that keep teacher agency
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Stanford Leadership Forum 2026: Rewiring the Workforce in the Age of AI
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Ex-Google Officer: You Only Have 3 Years Left Before It Hits! - Mo Gawdat
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The Modern CIO in the Age of AI Builder Orchestrator and the Voice of Trust
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Webinar: Giving informal learning the recognition it deserves
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Safety standards for GenAI in education
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Generative AI to streamline institutional and system workflows
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MIT Economist on Finance, AI, and Human Behavior
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What do tech pioneers think about the AI revolution? - The Engineers, BBC World Service
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Main findings from the OECD Digital Education Outlook 2026
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GenAI and learning: applying learning science with AI
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What does it take to be (generative) AI-literate?
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GenAI and assessment
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This is not the AI we were promised | The Royal Society
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Webinar: The importance of teacher knowledge: Insights from the new OECD Teacher Knowledge Survey
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Ex-Google Exec: How to Position Yourself Now Before the Next AI Phase (2026–2027) | Mo Gawdat
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Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit
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Developing effective GenAI for education
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