Modeling (Human) Bias in Artificial Intelligence

Seminar | October 19 | 12:30-1:30 p.m. | Soda Hall, 430 (Woz)

 Margaret Mitchell, Google

 Electrical Engineering and Computer Sciences (EECS)

Human data brings with it human biases. Algorithms trained on that data can effectively perpetuate and amplify these biases,
creating feedback loops that deepen social division. In this talk, I walk through how human bias is at play in the end-to-end machine learning cycle,
and the effects this can have within society.

 jmfaleiro@berkeley.edu