The Data Exchange Podcast: Krishna Gade on transparency and explainability in machine learning.
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.
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.
- Morten Dahl: “The state of privacy-preserving machine learning”
- Dafna Shahaf on “Computational humanness, analogy and innovation, and soft concepts”
- Reza Zadeh on “Building large-scale, real-time computer vision applications”
- Bahman Bahmani: “Business at the speed of AI: Lessons from Rakuten”
- Yann LeCun: “sometimes people have accurate models of a phenomenon without any intuitive explanation”
- Geoffrey Hinton prompts a Twitter discussion on “black box AI surgeons”.
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[Image: “box cube empty clear glass” by Terri Oda.]