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Krishna Gade, CEO and Founder of Fiddler, discusses the importance of AI explainability

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Manage episode 303137376 series 2986762
Content provided by Dan Turchin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Turchin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Krishna Gade was an engineering leader at Twitter, Pinterest, and Facebook before realizing AI is eating software... and responsible AI is essential. He turned a passion for "trustworthy AI" into a company that recently raised $32M to make AI explainable.
Listen and learn...

  1. Why AI explainability matters... and how to instrument it in AI models
  2. What developers need to know to ensure AI models don't make bad decisions
  3. What legislators need to know when creating frameworks to regulate "responsible" use of AI
  4. How Apple fumbled AI explainability when issuing credit cards through Goldman Sachs
  5. Krishna's top lesson learned as a first-time CEO

References in this episode:

  continue reading

233 episodes

Artwork
iconShare
 
Manage episode 303137376 series 2986762
Content provided by Dan Turchin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Turchin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Krishna Gade was an engineering leader at Twitter, Pinterest, and Facebook before realizing AI is eating software... and responsible AI is essential. He turned a passion for "trustworthy AI" into a company that recently raised $32M to make AI explainable.
Listen and learn...

  1. Why AI explainability matters... and how to instrument it in AI models
  2. What developers need to know to ensure AI models don't make bad decisions
  3. What legislators need to know when creating frameworks to regulate "responsible" use of AI
  4. How Apple fumbled AI explainability when issuing credit cards through Goldman Sachs
  5. Krishna's top lesson learned as a first-time CEO

References in this episode:

  continue reading

233 episodes

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