Ziad Obermeyer

Ziad Obermeyer is renowned for his groundbreaking research identifying racial bias in widely used clinical algorithms at UC Berkeley, work that has profound implications for ensuring that AI-based cancer decision support tools do not perpetuate or exacerbate existing health disparities. His research demonstrated that a commercial algorithm used by health systems systematically underestimated the illness burden of Black patients, prompting a nationwide reassessment of algorithmic fairness in healthcare. He continues to develop methods for auditing and correcting bias in clinical AI systems including cancer risk prediction and treatment recommendation tools.