Are you a Stanford student interested in ETL and MS&E 472? If so, check out our FAQ!

Hope in Artificial Intelligence

Tracy Chou, Project Include

Software engineer Tracy Chou observes how bias is easier to remove from machine-learning models than from human behavior. But she warns that bias can still creep in through the use of proxy data: for instance, excluding data on race but including closely related information like zip codes. An early employee of several Silicon Valley startups, Chou was a founding advisor to Project Include and continues to push for more diversity in tech.