Listen "Is ethical AI possible?"
Episode Synopsis
Sean Illing talks with Timnit Gebru, the founder of the Distributed AI Research Institute. She studies the ethics of artificial intelligence and is an outspoken critic of companies developing new AI systems. Sean and Timnit discuss the power dynamics in the world of AI, the discriminatory outcomes that these technologies can cause, and the need for accountability and transparency in the field.
Host: Sean Illing (@seanilling), host, The Gray Area
Guest: Timnit Gebru (@timnitGebru), founder, Distributed AI Research Institute
References:
“The Exploited Labor Behind Artificial Intelligence" by Adrienne Williams, Milagros Miceli, and Timnit Gebru (Noema; Oct. 13, 2022)
“Effective Altruism is Push a Dangerous Brand of ‘AI Safety’” by Timnit Gebru (Wired; Nov. 30, 2022)
Datasheets for Datasets by Timnit Gebru, et al. (CACM; Dec. 2021)
“In Emergencies, Should You Trust a Robot?” by John Toon (Georgia Tech; Feb. 29, 2016)
“We read the paper that forced Timnit Gebru out of Google. Here’s what it says” by Karen Hao (MIT Technology Review; Dec. 4, 2020)
“On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” by Timnit Gebru, et al. (Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency; March 2021)
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This episode was made by:
Producer: Erikk Geannikis
Editor: Amy Drozdowska
Engineer: Patrick Boyd
Editorial Director, Vox Talk: A.M. Hall
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Host: Sean Illing (@seanilling), host, The Gray Area
Guest: Timnit Gebru (@timnitGebru), founder, Distributed AI Research Institute
References:
“The Exploited Labor Behind Artificial Intelligence" by Adrienne Williams, Milagros Miceli, and Timnit Gebru (Noema; Oct. 13, 2022)
“Effective Altruism is Push a Dangerous Brand of ‘AI Safety’” by Timnit Gebru (Wired; Nov. 30, 2022)
Datasheets for Datasets by Timnit Gebru, et al. (CACM; Dec. 2021)
“In Emergencies, Should You Trust a Robot?” by John Toon (Georgia Tech; Feb. 29, 2016)
“We read the paper that forced Timnit Gebru out of Google. Here’s what it says” by Karen Hao (MIT Technology Review; Dec. 4, 2020)
“On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” by Timnit Gebru, et al. (Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency; March 2021)
Enjoyed this episode? Rate The Gray Area ⭐⭐⭐⭐⭐ and leave a review on Apple Podcasts.
Subscribe for free. Be the first to hear the next episode of The Gray Area. Subscribe in your favorite podcast app.
Support The Gray Area by making a financial contribution to Vox! bit.ly/givepodcasts
This episode was made by:
Producer: Erikk Geannikis
Editor: Amy Drozdowska
Engineer: Patrick Boyd
Editorial Director, Vox Talk: A.M. Hall
Learn more about your ad choices. Visit podcastchoices.com/adchoices
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