# Conversation with Annie Hartley, EPFL

Page: https://stenobird.com/podcast/inside-ai-7168420/conversation-with-annie-hartley-epfl
Text version: https://stenobird.com/podcast/inside-ai-7168420/conversation-with-annie-hartley-epfl.md
Podcast: [Inside AI](https://stenobird.com/podcast/inside-ai-7168420)
Published: 2025-09-24T14:08:19+00:00
Episode link: https://feeds.podcastle.ai/0841b48a-3b69-4127-9fad-3d6dd7a3d06e/Annie%2520Hartley.mp3
Audio file: https://feeds.podcastle.ai/0841b48a-3b69-4127-9fad-3d6dd7a3d06e/Annie%2520Hartley.mp3
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JSON: https://stenobird.com/v1/public/podcasts/inside-ai-7168420/episodes/conversation-with-annie-hartley-epfl
Duration seconds: 3573

## Resource

In this episode, Marcel talks with Annie Hartley, EPFL Professor and Director of the Laboratory for Intelligent Global Health & Humanitarian Response Technologies (LiGHT), about building trustworthy medical AI that works in the field. They cover LiGHT’s cross-institution work with EPFL and Harvard/Ariadne Labs, operational hubs in Rwanda and India, why neutrality matters in humanitarian tech, and how to evaluate models via clinician collaboration and real-world trials. They also discuss Meditron (a medical LLM pipeline), truly open models like Apertus, and MOOVE, a massive open validation platform where experts collaborate to align medical LLMs with real-world standards. Find out more: LiGHT Laboratory: https://www.light-laboratory.org/ Join the MOOVE: https://jointhemoove.org/ Production: Ethan Nyffenegger

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## Transcript

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