AI algorithms are still often perceived as "black boxes". In this keynote, ML6 shares their view on Explainable AI, where explainability is considered part of the entire AI project and not just as part of the model. We will showcase how we approach explainability in different use cases and will share five generic design patterns that can be applied across AI projects to make your projects more explainable.

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