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cs.CY2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Anna P. Meyer, Yea-Seul Kim, Aws Albarghouthi +1
Machine learning (ML) is increasingly used in high-stakes settings, yet multiplicity - the existence of multiple good models - means that some predictions are essentially arbitrary…
cs.LG2024
Verified Training for Counterfactual Explanation Robustness under Data Shift
Anna P. Meyer, Yuhao Zhang, Aws Albarghouthi +1
Counterfactual explanations (CEs) enhance the interpretability of machine learning models by describing what changes to an input are necessary to change its prediction to a desired…