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 Kate Crawford about the Atlas of AI.
What is the Atlas of AI? Why is it important? How is AI an industry of extraction? How is AI impacting the planet? What can be done?
To answer these questions and more we welcome to the show Dr Kate Crawford to discuss Kate’s new book Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence.
Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. She is a Research Professor of Communication and STS at USC Annenberg, a Senior Principal Researcher at Microsoft Research in New York City, and the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris.
Full show notes for this episode can be found at Radical AI.
Listen to the episode below:
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.