Fairness Intervention Techniques

Fairness intervention techniques aim to reduce bias in decision-making processes, such as hiring or lending. These methods involve adjusting data, algorithms, or procedures to ensure that outcomes are fair across different groups, like race or gender. Techniques include reweighting data to balance representation, modifying models to prevent discrimination, or setting fairness criteria that algorithms must meet. The goal is to make decisions equitable so that no group is unfairly advantaged or disadvantaged, promoting fairness and trust in automated systems and policies.