One of the biggest challenges with AI is making sense of the decisions made by black box machine learning algorithms. In this episode of the AI Today podcast, hosts Kathleen Walch and Ronald Schmelzer interview Steve Eglash, Executive Director of Strategic Research Initiatives in the Computer Science Department at Stanford University to discuss Explainable AI, Responsible AI, and how to get AI systems to behave in a more testable, provable, and error-free way.
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