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#22 Explaining Explainable AI (for healthcare) with Dr Annabelle Painter (RSM digital health section Podcast)
Manage episode 434385253 series 3585389
Dev and Doc에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dev and Doc 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Dev and Doc is joined by guest Annabelle Painter, doctor, CMO, and podcaster for the Royal Society of Medicine Digital Health Podcast. We deep dive into explainability and interpretability with concrete healthcare examples.
Check out Dr. Painter's Podcast here, she has some amazing guests and great insights into AI in healthcare! - https://spotify.link/pzSgxmpD5yb
👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)
👨🏻⚕️ Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/
🤖 Dev - Zeljko Kraljevic - https://twitter.com/zeljkokr
For enquiries - 📧 Devanddoc@gmail.com
🎞️ Editor - Dragan Kraljević - https://www.instagram.com/dragan_kraljevic/
🎨 Brand design and art direction - Ana Grigorovici - https://www.behance.net/anagrigorovici027d
Timestamps:
- 00:00 - Start + highlights
- 03:47 - Intro
- 08:16 - Does all AI in healthcare need to be explainable?
- 15:56 - History and explanation of Explainable/Interpretable AI
- 20:43 - Gradient-based saliency and heat maps
- 24:14 - LIME - Local Interpretable Model-agnostic Explanations
- 30:09 - Nonsensical correlations - When explainability goes wrong
- 33:57 - Modern explainability - Anthropic
- 37:15 - Comparing LLMs with the human brain
- 40:02 - Clinician-AI interaction
- 47:11 - Where is this all going? Aligning models to ground truth and teaching them to say "I don't know"
References:
25 에피소드
공유
