Identifying bias when sensitive attribute data is unavailable: Techniques for inferring protected characteristics

To evaluate whether decisions in lending, health care, hiring and beyond are made equitably across race or gender groups, organizations must know which individuals belong to each race and gender group. However, as we explored in our last post, the sensitive attribute data needed to conduct analyses of bias and fairness may not always be … Continue reading “Identifying bias when sensitive attribute data is unavailable: Techniques for inferring protected characteristics”