events
Events
  • Facial Recognition Technology and Its Algorithmic Racial Bias

  • When

    Friday, September 18, 2020
    1:00 pm to 2:00 pm

    Where

    Online via Zoom

    University of Minnesota Law School


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Many look to technology as a potential answer to remove bias from policing and promote fairness in courtroom proceedings. Technology as a tool may help remove some human biases but may create other problems. This panel will explore some of the implications of the growing use of video and AI technology in policing and the justice system and how that connects to efforts to eliminate bias.

This webinar will be the third in the University of Minnesota Law School’s series on bias in the criminal justice system – please join us!

Panelists include:

  • Ángel Díaz, Counsel, Liberty & National Security | Brennan Center for Justice
  • Elizabeth Joh, Martin Luther King Jr. Professor of Law | UC Davis School of Law
  • Deborah Raji, Technology Fellow | AI Now Institute at New York University
  • Jameson Spivack, Policy Associate | Center on Privacy & Technology at Georgetown Law

The panel will be moderated by Francis Shen, Professor of Law at the University of Minnesota Law School and executive director of Education and Outreach for the MacArthur Foundation Research Network on Law and Neuroscience. 

Sponsored By

University of Minnesota Law School
Co-Sponsored by: Minnesota Journal of Law, Science & Technology 

Cost

Free

CLE Credits

1 Elimination-of-Bias CLE credit has been requested, event code: #324688

Contact Information

Olivia Kurtz
(612) 624-1885

Facial Recognition Technology and Its Algorithmic Racial Bias

Webinar recording of Facial Recognition Technology and Its Algorithmic Racial Bias 

Contact Information

University of Minnesota Law School

Walter F. Mondale Hall | 229 19th Avenue South | Minneapolis, MN 55455

P: 612-625-5000

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