What businesses need to know about model explainability

The Data Exchange Podcast: Krishna Gade on transparency and explainability in machine learning.


SubscribeiTunesAndroidSpotifyStitcherGoogle, and RSS.

In this episode of the Data Exchange I speak with Krishna Gade, founder and CEO at Fiddler Labs, a startup focused on helping companies build trustworthy and understandable AI solutions. Prior to founding Fiddler, Krishna led engineering teams at Pinterest and Facebook.

Join Michael Jordan, Manuela Veloso, Azalia Mirhoseini, Zoubin Ghahramani, Wes McKinney, Ion Stoica, Gaël Varoquaux, and many other speakers at the first Ray Summit In San Francisco, May 27-28. Tickets start at $200.

Our conversation included a range of topics, including:

  • Krishna’s background as an engineering manager at Facebook and Pinterest.
  • Why Krishna decided to start a company focused on explainability.
  • Guidelines for companies who want to begin working on incorporating model explainability into their data products.
  • The relationship between model explainability (transparency) and security (ML that can resist adversarial attacks).

Our goal in this podcast is to build a community of people interested in Data, Machine Learning and AI. If you have suggestions for us on what to recommend (books, conferences, links), and guests to book, please visit TheDataExchange.media site and fill out the “contact” form.

Related content:

Subscribe to our Newsletter:
We have an occasional newsletter where we share highlights from recent episodes, trends in AI / machine learning / data , and a collection of recommendations.

[Image: “box cube empty clear glass” by Terri Oda.]