4 papers
Data Bias Mitigation under Coverage Constraints & The Price of Fairness
Bruno Scarone, Alfredo Viola, Renée J. Miller
Machine learning models have been shown to exhibit discriminatory outcomes or degraded performance for individuals at the intersection of multiple sensitive attributes, such as rac…
The Illusion of Improvement: Reject Inference Strategies in Credit Scoring
Bruno Scarone, Ricardo Baeza-Yates
Reject inference methods are widely used to mitigate survival bias in credit scoring, yet their effectiveness remains poorly understood. We systematically evaluate several such met…
The Impact of Pseudo-Science in Financial Loans Risk Prediction
Bruno Scarone, Ricardo Baeza-Yates
We study the societal impact of pseudo-scientific assumptions for predicting the behavior of people in a straightforward application of machine learning to risk prediction in finan…
A Principled Approach for Data Bias Mitigation
Bruno Scarone, Alfredo Viola, Renée J. Miller +1
The widespread use of machine learning and data-driven algorithms for decision making has been steadily increasing over many years. \emph{Bias} in the data can adversely affect thi…