MLOps Community Meetup: How Explainable AI is Critical to Building Responsible AI

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Training and deploying ML models have become relatively fast and cheap, but with the rise of ML use cases, more companies and practitioners face the challenge of building “Responsible AI.” One of the barriers they encounter is increasing transparency across the entire AI lifecycle to not only better understand predictions, but also to find problem drivers. In this session with Krishna Gade, we will discuss how to build AI responsibly, share examples from real-world scenarios and AI leaders across industries, and show how Explainable AI is becoming critical to building Responsible AI.

Video transcript