Steps to Evaluate Fairness in Machine Learning Models

Businesses prioritize metrics that impact their bottom line, while data scientists often focus on accuracy. However, bias in a model can lead to allocative harms (unequal distribution of benefits) and representation harms (downplaying certain groups)...