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Radical AI podcast: featuring Zanele Munyikwa

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19 March 2021



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Zanele Munyikwa
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 Zanele Munyikwa about social inequality in the digital economy.

Social inequality in the digital economy with Zanele Munyikwa

How does the digital economy perpetuate social inequality?

In this episode we interview Zanele Munyikwa. Zanele is a PhD student in Management Science and Information Technology at MIT Sloan. She is a computational social scientist who uses causal inference and machine learning techniques to study the digital economy, technology, and the future of work.

Follow Zanele Munyikwa on Twitter @zanmuny.

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.




The Radical AI Podcast




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