Alison Smith-Renner

No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML

Automatically generated explanations of how machine learning (ML) models reason can help users understand and accept them. However, explanations can have unintended consequences: promoting over-reliance or undermining trust. This paper investigates how explanations shape users' perceptions of ML models with or without…