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cs.LG2026
GESD: Beyond Outcome-Oriented Fairness
Gideon Popoola, John Sheppard
Machine learning (ML) algorithms are increasingly deployed in high-stakes decision-making domains such as loan approvals, hiring, and recidivism predictions. While existing fairnes…
cs.LG2026
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
Gideon Popoola, John Sheppard
Machine learning algorithms in socially sensitive domains (e.g., credit decisions) often focus on equalizing predictive outcomes. However, satisfying these metrics does not guarant…
cs.LG2026
Procedural Fairness via Group Counterfactual Explanation
Gideon Popoola, John Sheppard
Fairness in machine learning research has largely focused on outcome-oriented fairness criteria such as Equalized Odds, while comparatively less attention has been given to procedu…