Artificial Intelligence
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When we get health wrong, people die: Designing artificial intelligence to serve community health
This is the edited transcript of a talk by Reda Sadki, founder of The Geneva Learning Foundation (TGLF), prepared for Global AI Day in Geneva on 6 May 2026. Global AI Day is a global observance dedicated to AI awareness and human-centred adoption. In Geneva, the day brought together innovators, citizens, students, and community members…
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Future of the workforce: the 780 million job gap, the AI reckoning, and the missing link in the World Bank’s biggest bet
Ajay Banga does not speak like a development banker. He speaks like a businessman who has stared at a demographic cliff and decided it is actually a launching pad. His framing, repeated in every forum he enters, is stark: 1.2 billion young people will enter the workforce over the next decade and a half, against…
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AI self-replacement: what happens when we delegate our thoughts to artificial intelligence?
In my Day 1 article, I wrote that the OECD Digital Education Outlook 2026 conference documented performance gains alongside learning losses, efficiency alongside declining human competence, and the emergence of what Dragan Gasevic called “metacognitive laziness.” I described a day that did not offer comfort. Where the first day established the tension between performance and…
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OECD Digital Education Outlook 2026: How can AI help human beings learn and grow?
On the first day of the OECD Digital Education Outlook 2026 conference on “Exploring Effective Uses of Generative AI in Education,” we saw what happens when education system stakeholders ask not whether AI can improve performance, but whether it helps human beings learn and grow. The focus was K‑12, but the implications reach far beyond…
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Introducing Claude Cardot, our first AI co-worker to support frontline health and humanitarian leaders
The Geneva Learning Foundation is pleased to introduce its first AI co-worker, Claude Cardot. Claude joins our team as an Executive Assistant supported by artificial intelligence, to help us better serve the tens of thousands of health and humanitarian workers who participate in our peer learning and leadership programmes. This appointment carries a special significance.…
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Artificial intelligence, real racism: why the code can’t fix ‘poverty porn’
The arrival of artificial intelligence in the global development and non-profit sectors has sparked a period of intense ethical reflection around what some are calling ‘poverty porn 2.0’. The visual ethics organization Fairpicture is tackling head-on the nascent public dialogue. Opening a “FairTalk” panel discussion on 11 February 2026, Fairpicture’s CEO Noah Arnold framed this…
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5 surprising insights from the science of successful learning
The work of Reda Sadki offers a provocative, often counter-intuitive critique of how we learn, lead, and solve complex problems. Here are five surprising insights about what it takes to create successful learning. 1. Text is superior to video for learning In an era where educational technology is obsessed with video content, immersive simulations, and…
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The future of work: remarks at the 9th 1M1B Impact Summit held at the United Nations in Geneva
On November 7, 2025, Reda Sadki, Executive Director of The Geneva Learning Foundation, joined the panel “The Future of Work: AI and Green Skills” at the 9th 1M1B Impact Summit held at the United Nations in Geneva. Moderated by Elizabeth Saunders, the discussion explored the rapid redefinition of the workforce by artificial intelligence and the…
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How do we stop AI-generated ‘poverty porn’ fake images?
There is an important and necessary conversation happening right now about the use of generative artificial intelligence in global health and humanitarian communications. Researchers like Arsenii Alenichev are correctly identifying a new wave of “poverty porn 2.0,” where artificial intelligence is used to generate stereotypical, racialized images of suffering – the very tropes many of…
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What the 2025 State of AI Report means for global health and humanitarian action
The 2025 State of AI Report has arrived, painting a picture of an industry being fundamentally reshaped by “The Squeeze.” This is a critical, intensifying constraint on three key resources: the massive-scale compute (processing power) required for training, the availability of high-quality data, and the specialized human talent to build frontier models. This squeeze, the…
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