Cynthia Rudin explains the impact of implicit bias in AI and machine learning, highlighting the issues of accuracy and fairness that can arise from a lack of diversity in developers and data used for algorithms. She argues for a public policy conversation to decide the parameters of when AI is being used most effectively and fairly.