Author

E. Lazar

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Evaluating Gender Bias Mitigation and Intersectional Fairness Trade-offs in Educational Prediction Models

Findings demonstrate that focusing only on single-attribute mitigation techniques is insufficient to ensure equitable outcomes across all population groups, and that intersectional evaluation is essential for developing fair and socially responsible educational prediction systems.

E. Lazar, Harrie Oosterhuis, Luca Consoli · 0 citations