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.
Related
Sophia Edelstein and Nathan Kondamuri,
Pair Eyewear
From Stanford Students to Co-CEOs [Entire Talk]
Mission and culture are essential to taking a company from its earliest days to unbelievable growth.
Video
51 minutes
Sophia Edelstein and Nathan Kondamuri,
Pair Eyewear
From Stanford Students to Co-CEOs [Entire Talk]
Mission and culture are essential to taking a company from its earliest days to unbelievable growth.
Clara Shih,
Salesforce.com
What No One Tells You About Entrepreneurship [Entire Talk]
Entrepreneurship is full of important decisions and unexpected paths, and it will change your life.
Video
48 minutes
Clara Shih,
Salesforce.com
What No One Tells You About Entrepreneurship [Entire Talk]
Entrepreneurship is full of important decisions and unexpected paths, and it will change your life.
Shiza Shahid,
Our Place
A Meaningful Entrepreneurial Path [Entire Talk]
Pursuing a meaningful mission can shape entrepreneurs, companies, brands and products.
Video
43 minutes
Shiza Shahid,
Our Place
A Meaningful Entrepreneurial Path [Entire Talk]
Pursuing a meaningful mission can shape entrepreneurs, companies, brands and products.