Conducting Disaggregated Performance Analysis

To detect bias, analyze model predictions separately for different demographic groups such as gender, ethnicity, age, or disability status. Identifying any disproportionate prediction errors or retention rates helps highlight biases. By comparing how the model performs across these groups, organizations can pinpoint where bias may exist and initiate targeted mitigation strategies.