Welcome to the FairBank case!
FairBank explores issues involved in the detection, diagnosis, and mitigation of disparities or biases that can stem from model-based, data-driven, approaches to decision-making.
The case is fictional and intended for teaching purposes only. Please start by reading the Study guide.
The case is accompanied by an interactive App that enables you to trace through the analysis underlying the case exhibits and perform what-if analyses to explore how data and modeling issues might affect the disparities discussed in the case. Use the app to deepen your understanding of the issues raised in the case.
Amr Farahat and Rama Ramakrishnan
MIT Sloan School of Management