AI & Facial Recognition: Policy for a new era of privacy

In the third event of our Science Meets Science series, we organized a panel discussing the scientific ethics of balancing public safety and personal privacy when using AI and facial recognition technology.

We explored questions such as:

  • San Francisco, Oakland, and other cities have banned police use of facial recognition software. What is the trade-off this creates between public safety and personal privacy?
  • What rights should be codified in law to protect our digital identities? Is there existing legislation that can be modified to address privacy issues in this technology-focused era?
  • What responsibility do developers of AI software, such as facial recognition, have to ensure that their products do no harm?

Our distinguished panelists were:

  • Brian Hofer, Chair and Executive Director of Secure Justice and Chair of Oakland Privacy Advisory Commission
  • Hany Farid, Professor in Electrical Engineering and Computer Science (EECS) and the School of Information at UC Berkeley

The conversation was moderated by Sarah Dean, a PhD student in EECS at UC Berkeley.

Listen to a recording of the full public discussion:

(Edit on 3/20/2020) You can also watch the full public discussion here: