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Intelligent Automation Radio

Apr 1, 2021

There's a quote circulating on the internet that "trust takes years to build, seconds to break, and forever to repair".  Its author was almost certainly referring to human relationships, but it turns out this sentiment applies equally to AI-driven decision making.  Complex machine-learning models feeding AI algorithms can take a long time to develop.  However, if they result in people's credit applications being erroneously rejected or medical conditions being misdiagnosed, confidence in that AI will evaporate, and possibly never be restored.  That's where Explainable AI comes in.


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.