Pauline Kim

WashU Expert: Hiring data creates risk of workplace bias

American employers increasingly rely on large datasets and computer algorithms to decide who gets interviewed, hired or promoted. Pauline Kim, employment law expert, explains that when algorithms rely on inaccurate, biased or unrepresentative data, they may systematically disadvantage racial and ethnic minorities, women and other historically disadvantaged groups.