How explainable, predictive decision making can help us trust our AI models

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Presented by

Daniele Zonca, Architect, Red Hat and Matteo Mortari, Principle Software Engineer, Red Hat

About this talk

In this webinar, you’ll hear about the latest research in eXplainable AI (XAI), an approach that combines AI/ML and traditional business rules to better understand the factors that contribute to an automated decision. We’ll introduce you to the latest standards for representing decision logic, and we’ll demonstrate an XAI solution built from open source components that will show how we can finally answer questions about why an automated decision was made.

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