In Machines We Trust: When AI hears a problem

In Machines We Trust: When AI hears a problem

Author: MIT Technology Review May 17, 2023 Duration: 32:46
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. 

Ever wondered what the future of artificial intelligence really holds, or how a quantum computer might actually work? MIT Technology Review Narrated turns the magazine's most significant journalism into an intimate listening experience. Each episode features a single, deeply-reported story from the publication's pages, brought to life not by automated text-to-speech, but by the nuanced delivery of professional voice actors. This approach allows the complexity and texture of the reporting to shine through, whether the topic is the ethics of gene editing, the geopolitics of semiconductors, or the next frontier in climate technology. You'll find yourself immersed in narratives that go beyond headlines, offering the context and analysis needed to understand how technological shifts are reshaping our world. The result is a thoughtful audio companion that makes even the most intricate subjects accessible and compelling. This podcast leverages the decades-long legacy of MIT Technology Review's trusted reporting, ensuring that every story is not only engaging but rigorously fact-checked and insightful. It's for anyone curious about the forces designing our tomorrow, who prefers substance over soundbites and enjoys getting lost in a well-told story. Settle in for a weekly dose of clarity on the ideas that matter, all delivered through the power of spoken narrative.
Author: Language: English Episodes: 100

MIT Technology Review Narrated
Podcast Episodes
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Duration: 13:45
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In Machines We Trust: When AI watches the streets [not-audio_url] [/not-audio_url]

Duration: 27:11
The term ‘smart city’ paints a picture of a tech-enabled oasis—powered by sensors of all kinds. But we’re starting to recognize what all these tools might mean for privacy. In this episode, we meet a researcher studying…
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Duration: 21:21
The best definitions of AI are vague, largely lack consensus and represent a huge challenge for lawmakers and legal scholars looking to regulate it. But back to back breakthroughs and rapid adoption of generative AI tool…

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