How to Reduce Majority Bias in AI Models | HackerNoonThis work explores the inductive biases of fair learning algorithms and proposes a robust optimization scheme to enhance demographic parity.
How to Test for AI Fairness | HackerNoonThe research focuses on developing fair supervised learning models using different datasets to evaluate performance towards fairness in predictions.
New Study Shows How Positive-Sum Fairness Impacts Medical AI Models in Chest Radiography | HackerNoonThe study addresses the impact of ethnicity on the prediction of lung lesions using chest radiographs.It emphasizes the importance of fairness in AI healthcare models across different racial subgroups.