Radical AI podcast: featuring Veena Dubal


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28 September 2020

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Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Veena Dubal about the ethical crisis of the gig economy.

Is Uber moral? The ethical crisis of the gig economy with Veena Dubal

What is precarious work and how does it impact the psychology of labor? How might platforms like Uber and Lyft be negatively impacting their workers? How do gig economy apps control the lives of those who use them for work? To answer these questions and more we welcome Dr Veena Dubal to the show.

Veena is a professor of Law at UC Hastings. Veena received her J.D. and PhD from UC Berkeley, where she conducted an ethnography of the San Francisco taxi industry. Veena’s research focuses on the intersection of law, technology, and precarious work. Full show notes for this episode can be found at Radical AI.

Listen to the episode below:

About Radical AI:

Hosted by Dylan Doyle-Burke, a PhD student at the University of Denver, and Jessie J Smith, a PhD student at the University of Colorado Boulder, Radical AI is a podcast featuring the voices of the future in the field of Artificial Intelligence Ethics.

Radical AI lifts up people, ideas, and stories that represent the cutting edge in AI, philosophy, and machine learning. In a world where platforms far too often feature the status quo and the usual suspects, Radical AI is a breath of fresh air whose mission is “To create an engaging, professional, educational and accessible platform centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate to co-create the field of Artificial Intelligence Ethics.”

Through interviews with rising stars and experts in the field we boldly engage with the topics that are transforming our world like bias, discrimination, identity, accessibility, privacy, and issues of morality.

To find more information regarding the project, including podcast episode transcripts and show notes, please visit Radical AI.








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