AfroTech Conference 2026
Dr. Tiffani Bright
Co-Director, Center for Artificial Intelligence Research and Education Assistant Professor of Computational Biomedicine, Cedars-Sinai Medical Center, Cedars-Sinai Health Sciences University
Track HealthStack Speaker, Equity, Bias and Clinical Trust
Biography
Tiffani J. Bright, PhD, FACMI, is an Assistant Professor in Cedars-Sinai's Department of Computational Biomedicine and Co-Director of the Center for AI Research & Education. Her work advances trustworthy, ethical AI in healthcare by developing and evaluating models and methods that detect and mitigate bias in machine learning. A member of the Kiskiack Nation, she is recognized as the first Black woman in the United States to earn a PhD in Biomedical Informatics and the first from Columbia University to do so. She is a Fellow of ACMI.
Sessions
From Bias Evaluation to Trustworthy Healthcare AI Implementation
Wed, Nov 4, 10:40 AM – 11:50 AM CT
Track Equity, Bias and Clinical Trust
AI tools are moving from pilot to deployment across healthcare, and the stakes around bias, governance, and oversight are no longer theoretical. Dr. Tiffani J. Bright provides a practical roadmap for implementing trustworthy AI, covering how to evaluate algorithmic bias, assess data representativeness, build governance structures, and sustain continuous monitoring. Attendees leave with concrete strategies for deploying equitable, high-performing AI in real clinical settings.