HDSI Bias^2 Seminar w/Ziad Obermeyer, UC Berkeley

Date: 

Thursday, October 22, 2020, 1:00pm to 2:30pm

Location: 

Virtual Event

Talk Abstract: TBA

About the Bias^2 Seminar Series: The HDSI has introduced a new Bias^2 Program to support research, feature speakers, and engage the data science community towards using data science to uncover bias, and understanding and combating the use of badly-conceived data science that can reinforce bias and inequity. As part of this program, the HDSI will host monthly webinars featuring speakers who shed light on different types of bias through the use of data science, as well as speakers who raise bias concerns around problems with data, algorithms, and data-science methodology. They will also feature speakers whose work more generally focuses on public interest technology, including issues and concerns that are broadly related to racism and technology. You can read more about the program here. This seminar series is free and open to the public but registration is required.