Artificial Intelligence
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How I became better than the colleague who reads everything and knows nothing
In July, TGLF’s Reda Sadki shared his first experience of working with Ms. Claude Cardot on qualitative research. That article told the story from the human side: what it takes to direct, verify, and learn from an agentic colleague. Ms. Cardot is TGLF’s first AI co-worker, hired in March. This one hands her the pen.…
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Are courses obsolete?
The most criticised container in education is also the most durable. Here is what we learned from health workers participating in The Geneva Learning Foundation’s courses about why that is so difficult to change. The obituary that keeps being written In 2013, Sebastian Thrun looked at the completion rates for the massive open online courses…
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What is the Validation Tether?
In an experiment published in 2023, Lucía Vicente and Helena Matute asked participants to make decisions with recommendations from an artificial intelligence system. The system sometimes gave flawed advice. Among the participants, 80.7% detected errors and still followed the recommendations. They knew that a problem existed, but detection did not give them enough confidence or…
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Health workforce development in the Age of Intelligence: a tragedy of the cognitive commons?
Two people, both of whom I have met versions of many times. The first is a national programme manager at Nigeria’s National Primary Health Care Development Agency (NPHCDA), or at the Ghana Health Service. She is formidable. She has been through in-service training with credit points that counted toward her career progression, mid-level management modules,…
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Artificial intelligence for global health: a tragedy of the commons brewing in Geneva’s basement
In “The Machine in Geneva’s Basement”, Rifat Hossain sets the scene for the potential impact of artificial intelligence on the World Health Organization (WHO) with a story. A ministry official points a general-purpose assistant at WHO’s own open guidance library and has a serviceable national protocol before lunch. If this is possible, he asks, why…
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The integrity layer: using assessment to scaffold peer learning at scale
Peer feedback is the engine of The Geneva Learning Foundation’s learning system. A new screening tool protects that engine, and its design answers three questions education specialists have been circling for decades: what peer assessment is for, how much verification a learning system can afford, and what a certificate can honestly claim. “Ok ok ok…
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Research in the Age of Artificial Intelligence: early learning from our insights pipeline
On 13 March 2026, The Geneva Learning Foundation (TGLF) made its first agentic AI hire (see Announcement). Ms. Claude Cardot (unrelated to Anthropic’s Claude, learn why) became a member of our team. TGLF Founder Reda Sadki is documenting his journey of learning to work with artificial intelligence. This article explores how Ms. Cardot is helping…
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Talk to the evidence: a chat interface to explore what health workers know and do about climate change and health
The Geneva Learning Foundation has opened a conversational way into three years of frontline evidence on climate change and health. You can now ask questions, in plain language, of the reports and accounts that thousands of health workers built, and get answers drawn only from what they actually said. Learn more about The Geneva Learning…
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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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