Algorithmic fairness in machine learning (ML) is an increasingly important ... that integrating interpretability methods with fairness metrics can help identify and address potential biases ...

The problem is that machine-learning algorithms do not always ... are often held back by their reliance on specific metrics of fairness and predetermined bias terms. The team's framework avoids ...