Getting Specific About Algorithmic Bias - Rachel Thomas

This talk was presented at PyBay2019 - 4th annual Bay Area Regional Python conference. Description Through a series of case studies, I will illustrate different types of algorithmic bias, debunk common misconceptions, and share steps towards addressing the problem. About the speaker Rachel Thomas is a professor at the University of San Francisco Data Institute and co-founder of fast.ai, She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker.