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Ainhize Barrainkua

2 accepted papers

2026

Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden

AAAI 2026technical

Machine learning based predictions are increasingly used in sensitive decision-making applications that directly affect our lives. This has led to extensive research into ensuring the fairness of classifiers. Beyond just fair classification, emerging legislation now mandates that when a classifier d

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2024

Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results

AISTATS 2024poster

Recent studies highlight the effectiveness of Bayesian methods in assessing algorithm performance, particularly in fairness and bias evaluation. We present Uncertainty Matters, a multi-objective uncertainty-aware algorithmic comparison framework. In fairness focused scenarios, it models sensitive gr…