In Machines We Trust: When an Algorithm Gets It Wrong
Part-one of a series on police and facial recognition.
MIT Technology Review Narrated
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Show Notes
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.