AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
4min chapter
Been Kim: Interpretable Machine Learning
The Gradient: Perspectives on AI
The Interpretability Field Is Taking Similar Path
Michael: I think interpretability field is taking similar path where some people still argue well, we need a mathematical definition of what explanation is. And then we're now turning around and saying, actually, no, you can't. That's like fundamental science and philosophy that they talked about for centuries. He says there are different definitions of interpretability that might be a play. Michael: We just finished and published a chapter on Kevin Murphy's book, Probabilistic Machine Learning, a chapter on interpretability. Where we expend that list much, much longer.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode