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Department of Computer Science
What Does Trustworthy Mean?

Performance, Privacy, and Causality in Machine Learning

Modern machine learning systems are increasingly used in critical applications such as healthcare, finance, and policy-making. In such settings, it is not enough for models to be accurate, they also need to be trustworthy. But what does that actually mean? In this seminar, we explore three key aspects of trustworthy machine learning: performance guarantees, privacy, and causality.