7th Annual BTLJ-BCLT Fall Symposium: (Panel 3) The Black Box on Trial

course

PROGRAM INFO

  • Available Until 10/20/2027
  • Class Time 1:00 PM PT
  • Duration 60 min.
  • Format On-Demand
  • Program Code BCLT0089.3
  • CA General CLE Credits: 1.00 hr(s)

Price: FREE

If you have a coupon, please add at checkout

CLE VIEWRegistration Required QUICK VIEWNon-CLE / No Charge
 

DESCRIPTION

7th Annual BTLJ-BCLT Fall Race & Technology Symposium: Being Human in the Age of AI
Panel 3: 
The Black Box on Trial: Algorithmic Decisions, Due Process, and the Right to Contest

Program Information | Agenda | Resources | Speaker Bio(s) & Contact Info

Panel Description:

Algorithms now sit inside decisions that once guaranteed a hearing — bail, parole, benefits, medical coverage — often without one. This panel traces the fight over trade-secret protections shielding algorithmic decision-making and the limits of current AI audit tooling. Panelists debate whether courts, auditors, or legislatures are best positioned to deliver a meaningful “right to contest” an automated decision.

Speakers

Sean Quinn, Cooley

Rebecca Wexler, Columbia Law School

Inioluwa Deborah Raji, UC Berkeley

Moderator

Colleen Chien, BCLT, UC Berkeley Law

 

Symposium Description:

Being Human in the Age of AI, a symposium exploring how artificial intelligence is reshaping the law’s most basic assumptions about the human person — from the privacy of the mind to the boundaries of legal responsibility. Across four panels, we traced an arc from the innermost self outward: how neurotechnology and algorithmic design test the limits of cognitive liberty; how deepfakes and biometric systems unsettle the law of identity; how automated decision-making challenges due process and the right to be heard; and how courts and legislatures are struggling to define what AI fundamentally is. Attendees heard from leading scholars, technologists, and practitioners grappling with these questions in real time, as courts issue rulings, states pass conflicting statutes, and AI companies themselves debate the moral status of the systems they build.