To find the best workers, firms seek to balance exploitation (selecting from groups with proven track records) with exploration (selecting from under-represented groups to identify quality). Yet modern hiring algorithms are designed solely for exploitation.
In this installment of our Seminar Series, Danielle Li of MIT Sloan School of Management discusses research that highlights the value of incorporating exploration in developing decision-making hiring algorithms.
