Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
Proceedings of the ACM on Human-Computer Interaction, pp. 1-26, 2020.
As the use of machine learning (ML) models in product development and data-driven decision-making processes became pervasive in many domains, people's focus on building a well-performing model has increasingly shifted to understanding how their model works. While scholarly interest in model interpretability has grown rapidly in research c...More
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