Access My Program

6th Annual BTLJ-BCLT Fall Race & Tech Symposium – (Panel 4) Medical AI and Racial Bias: Ensuring Just Outcomes in Healthcare

author
Author/Instructor

BCLT

Topic(s)

AI, Computer, and Internet Law   |   Comparative Equality & Anti-Discrimination   |   Criminal Law & Tech   |   Elimination of Bias, DEI, and Ethics   |   Legal Education for Entrepreneurs/Innovators   |   Privacy & Cybersecurity

PROVIDE EMAIL FOR ACCESS

Please provide your school, faculty, or work email to access this free Quick View (Non-CLE) course.


If you already have an account you may [Login]


DESCRIPTION

Occured Monday, September 29, 2025
6th Annual BTLJ-BCLT Fall Race & Tech Symposium: Regulating the Machine: Centering Racial Justice in AI Policy-Making
Panel 4: Medical AI and Racial Bias: Ensuring Just Outcomes in Healthcare

Program Information | Agenda | Resources

Panel Description:

How does bias in large language models affect health outcomes in marginalized populations? Is there such a thing as “acceptable risk” when it comes to AI use in medicine? Tackling these and other pressing questions, this panel will explore racial disparities in “medical AI”; address the challenges of using large language models in a clinical setting; and examine efforts to ensure the just, reliable, and effective provision of healthcare amidst increased pressures to integrate AI-based tools.

Speakers

Roxana Daneshjou, MD, PhD, Stanford

Jenna Lester, MD, UCSF

Tofunmi Omiye, Health Policy, Stanford

Joan C. Williams, UC Law San Francisco

Moderator

Osagie K. Obasogie, BCLT, UC Berkeley Law

 

Symposium Description:

Join us for Regulating the Machine: Centering Racial Justice in AI Policy-Making, a thought-provoking event exploring the intersection of AI, racial justice, and regulatory and legal frameworks that seek to address some of the most pressing issues of our time. We’ll explore the convergence of the worsening climate crisis and the “AI boom”; unpack concerns about how AI use will impact workers; and discuss the consequence of racial bias in AI tools across sectors, from the criminal legal system to healthcare. Through engaging panel discussions, we’ll discuss best practices for developing AI-related guardrails, asking what is still needed to protect the marginalized communities disproportionately affected by climate disaster, safeguard workers’ rights, and ensure the just and reliable provision of healthcare. Attendees will have the opportunity to hear from preeminent experts in various fields and plug into meaningful conversations about how emerging technologies shape our lives—from our personal health outcomes to the places where we, and our families, live, work, play, and learn.

 

Co-organized By

 

BTLJ Logo UC Berkeley Center for Law & Technology Coalition of Minorities in Technology Law logo.

INFO

  • Avail. Until: 4/1/2027
  • Course Time:   10:00 AM PT
  • Duration:   60 min.
  • Program Code:   BCLT0060.4

This course is available to students for free.