Thematic areas
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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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Be careful, Karen
How I ‘distilled’ my most trusted mentor into an agentic AI skill – and what the science of human simulacra says about whether I should have At 8:54 p.m. on a Friday, I asked a machine a hard question about our foundation. The machine answered in the voice of Karen E. Watkins. Karen is the…
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What’s the buzz about new tools for malaria?
What do a rapid test, a preventive medicine, and a bed net have in common? Every one of them, somewhere, has met a parent who said no. The tools work. So how can such a conversation go wrong? We just finished reading what happened inside the first French-language run of our “Malaria: turning the tide”…
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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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You cannot send an AI agent to jail: the scariest quotes from the Agentic AI Summit in Berkeley
On 1 and 2 August 2026, close to five thousand people gathered at the University of California, Berkeley for the second Agentic AI Summit, hosted by the Center for Responsible, Decentralized Intelligence. More than 1,500 companies and 250 universities were represented. The Geneva Learning Foundation (TGLF) was there. Background: The agentic AI revolution: what does…
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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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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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Malaria: health professionals from 30 countries start learning from each other to ‘turn the tide’
On 29 June 2026, more than 2,000 health professionals from over 30 countries gathered to launch The Geneva Learning Foundation’s Malaria: Turning the Tide peer learning course. Its premise is simple and, in global health, unusual: the people closest to malaria, the nurses, community health workers, pharmacists, and programme staff who face it every working…
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