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The Radical AI Podcast
Radical AI
91 episodes
11 months ago
Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
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Technology
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All content for The Radical AI Podcast is the property of Radical AI and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
Show more...
Technology
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What Causes AI to Fail? with the AI Today Podcast
The Radical AI Podcast
53 minutes 15 seconds
4 years ago
What Causes AI to Fail? with the AI Today Podcast
 what causes AI to fail from a business/industry perspective and beyond? What metrics are used to measure and indicate failure? And how can we improve the field of AI by learning from these failures?  To answer these questions we interview Kathleen Walch and Ron Schmelzer of Cognilytica’s AI Today podcast. Ron and Kathleen are both principal analysts, managing partners and founders of Cognilytica. Cognilytica is a research, advisory, and education firm focused on advanced big data analytics, cognitive technologies, and evolving areas of Artificial Intelligence and machine learning.  Full show notes for this episode can be found at Radicalai.org.  If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod
The Radical AI Podcast
Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.