In Machines We Trust: When AI hears a problem

What this episode covers

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare. We meet: Lina Lakoczky-Torres, student at Menlo College Angela Schmiede, Vice President of Menlo College. Grace Chang, CEO of Kintsugi David Liu, CEO of Sonde Health Liam Kaufman, former CEO of Winterlight Labs. Margaret Mitchell, Chief Ethics Scientist of Hugging Face Bjoern Schuller, professor of artificial intelligence at Imperial College London Credits: This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting.

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How long is this episode of MIT Technology Review Narrated?

This episode is 32 minutes long.

When was this MIT Technology Review Narrated episode published?

This episode was published on May 17, 2023.

What is this episode about?

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare. We meet: Lina...

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