Bias audit

A bias audit is an evaluation process used to identify and measure unfair or prejudiced tendencies in algorithms, data, or decision-making systems. It aims to ensure that the technology treats all groups equitably, without favoritism or discrimination based on characteristics like race, gender, or age. By examining the data, models, and outcomes, organizations can detect biases that might lead to unfair treatment. Conducting a bias audit promotes fairness, accountability, and trust in automated systems, helping to prevent unintended harm and improve their overall accuracy and inclusivity.