How Explainable AI Keeps Decision-Making Algos Understandable, Efficient, & Trustworthy

Explainable AI seeks to transform a "black box" model into a fishbowl, so that its outputs are understandable, explainable, and ultimately trustworthy. One leading proponent of Explainable AI is Krishna Gade, a software engineering veteran of Facebook, Pinterest, Twitter, and Microsoft who Co-founded Fiddler Labs, an Explainable AI company. Krishna joins us to discuss how Explainable AI can address unconscious or unintentional bias, expedite debugging of AI models, and accelerate acceptance of and trust in AI-driven decision making.