Rich Caruana

schoolMicrosoftbar_chart#3805 Global Rank

Total Papers

HCI Rank

#3805

Research Areas

Years Active

Recent Publications

GAM Coach: Towards Interactive and User-centered Algorithmic Recourse

Machine learning (ML) recourse techniques are increasingly used in high-stakes domains, providing end users with actions to alter ML predictions, but they assume ML developers understand what input variables can be changed. However, a recourse plan's actionability is subjective and unlikely to match developers' expect…

CHI '204th AuthorHonorable MentionExplainable AI (XAI) +2

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

Machine learning (ML) models are now routinely deployed in domains ranging from criminal justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and grown into an engineering discipline. To that end, interpretability tools have been designed to help data scientists and machine learning practit…

CHI '193rd AuthorExplainable AI (XAI) +2

Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models

Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious correlations, and false generalizations. This has led to a rallying cry for model interpretability. Yet the concept of interpretability remains nebulous, such that researchers and tool desi…

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