Inside the Black Box- Detecting and Mitigating Algorithmic Bias across Racialized Groups in College Student-Success Prediction.

Explored bias in educational data by modeling bachelor’s degree attainment.
Assessed the utility of bias mitigation techniques to address fairness.
Not only did models produce unfair outcomes across various notions of fairness, but bias mitigation techniques also fails to improve fairness across subgroups.