In Machines We Trust: When an Algorithm Gets It Wrong

What this episode covers

What happens when an algorithm gets it wrong? In the first of a four-part series on face recognition, Jennifer Strong and the team at MIT Technology Review explore the arrest of a man who was falsely accused of a crime using facial recognition. The episode also starts to unpack the complexities of this technology and introduce some thorny questions about its use. We meet: Robert and Melissa Williams Peter Fussey, University of Essex Hamid Khan, Stop LAPD Spying Coalition Credits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. Special thanks to Kyle Thomas Hemingway and Eric Mongeon.

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Frequently Asked Questions

How long is this episode of MIT Technology Review Narrated?

This episode is 19 minutes long.

When was this MIT Technology Review Narrated episode published?

This episode was published on August 12, 2020.

What is this episode about?

What happens when an algorithm gets it wrong? In the first of a four-part series on face recognition, Jennifer Strong and the team at MIT Technology Review explore the arrest of a man who was falsely accused of a crime using facial recognition. The...

Can I download this MIT Technology Review Narrated episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.