Tin Nguyen

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features

AI systems have been known to amplify biases in real-world data. Explanations may help human-AI teams address these biases for fairer decision-making. Typically, explanations focus on salient input features. If a model is biased against some protected group, explanations may include features that demonstrate this bias…