An AI for an Eye:
Myths, Facts, and Fads on the Ethics and Bias of AI vs Human Recruitment
This talk has just one objective: to evaluate whether AI can outsmart human intuition when it comes to predicting and understanding human performance at work. To that end, it will examine the scientific evidence for the accuracy of new generation prediction tools vis-a-vis traditional assessment methods, paying particular attention to the issue of bias, as well as ethical implications.
Chief Talent Scientist at ManpowerGroup and Professor of Business Psychology at Columbia