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cs.LG2026
Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms
Lea Multerer, Michele Inchingolo, David Kletz +3
The application of machine learning-based predictive algorithms to Anti-Money Laundering (AML) has grown rapidly, driven by the vast volume of financial transaction data available…
cs.LG2025
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models
Alessandro Antonucci, Eric Rossetto, Ivan Duvnjak
We investigate individual fairness in generative probabilistic classifiers by analysing the robustness of posterior inferences to perturbations in private features. Building on est…