AI For Good 2026 - Beyond The Stage
How do we turn AI’s extraordinary potential into meaningful progress - and what should we question along the way?
Recorded at the AI for Good Global Summit 2026 in Geneva, Beyond The Stage brings you one-on-one conversations with researchers, entrepreneurs and leaders exploring how AI is reshaping our world. From predictive medicine and robotics to education, storytelling and sustainability, discover contrasting perspectives on the opportunities ahead, the risks we face and the choices leaders can make today.
Key takeaways:
• Understand why AI tools, autonomous agents and superintelligence raise different questions about safety, verification and control.
• Explore how AI and genomics could advance prevention, personalized medicine and access to healthcare.
• Discover what it takes to move AI and robotics beyond demonstrations into reliable applications with measurable impact.
• Examine how leadership can preserve human judgment, creativity and trust while addressing sustainability and giving more communities a voice in AI’s future.
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Roman V. Yampolskiy: Why We Need to Stop Building Superintelligence
AI safety researcher Roman V. Yampolskiy explains why leaders must distinguish between narrow AI tools, autonomous agents and superintelligence. He discusses the limits of prediction and control, how close he believes AGI may be, and what a responsible slowdown in the AI race could look like.
Ta...
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Bernhard Kowatsch: Scaling AI Where Nothing Else Works | AI For Good 2026
Bernhard Kowatsch, Director Global Accelerator and Ventures at the United Nations World Food Programme, explains how AI and emerging technologies can improve humanitarian operations in some of the world’s most difficult environments. He discusses moving beyond pilot projects, scaling solutions re...
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Lindsey Mastis: What Happens When We Stop Trusting Reality? | AI For Good 2026
Four-time Emmy Award-winning journalist Lindsey Mastis explores how artificial intelligence is transforming storytelling, journalism and music. She discusses the growing difficulty of verifying what is real, the risks facing independent artists, and why leaders must communicate about AI with tran...
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Alireza Haghighi, MD: Can AI Predict Disease Decades Early? | AI For Good 2026
Prof. Alireza Haghighi explains how the convergence of artificial intelligence, genomics and life sciences could transform healthcare. He explores the shift from treating disease to predicting and preventing it, why genomic data is becoming a national asset, and how leaders should approach owners...
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Stephen Ibaraki: Why the Future Is Compressing to Now | AI For Good 2026
Stephen Ibaraki explains how eleven converging technologies, accelerated by artificial intelligence and quantum computing, could transform businesses, markets and the future of work. He explores why developments once expected decades from now are arriving much sooner, what this acceleration means...
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Yannis Ioannidis: Why Education Must Remain Human in the Age of AI | AI For Good 2026
Yannis Ioannidis explores how artificial intelligence is transforming education, leadership and scientific research. He explains why AI literacy must become a lifelong foundation, what CEOs should understand before deploying AI, and how society can protect creativity, critical thinking and human ...
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Vijay Karia: The Hidden Environmental Cost of AI | AI For Good 2026
AI sustainability expert Vijay Karia explores the environmental cost of artificial intelligence and the growing problem of digital waste. He explains how smaller models, efficient cloud infrastructure and circular business models could reduce AI’s energy, water and emissions footprint, and why co...
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Diego Fernández Slezak: Can AI Help Detect Dementia Earlier? | AI For Good 2026
Diego Fernández Slezak explains how artificial intelligence and conversational agents could expand access to dementia screening in underserved communities. He discusses using familiar platforms such as WhatsApp, the cultural biases hidden in medical AI, the role doctors must retain throughout the...
