Understanding Subgroup Fairness in Machine Learning ML
Evaluating fairness in machine learning often involves examining how models perform across different subgroups defined by attributes such as race, gender, or socioeconomic…
This AI Paper from Google Introduces a Causal Framework to Interpret Subgroup Fairness in Machine Learning Evaluations More Reliably
