Fairness-aware machine learning

Fairness-aware machine learning focuses on ensuring that algorithms treat all individuals and groups equitably, avoiding bias or discrimination. As machine learning models make decisions—like hiring candidates or assessing loan applications—they can unintentionally reflect societal biases present in their training data. Fairness-aware practices aim to identify and mitigate these biases, ensuring that outcomes are just for everyone, regardless of race, gender, or other attributes. This approach promotes ethical use of technology and strives to ensure that advancements in AI benefit all segments of society fairly.