The Potential for Bias in Agentic AI Systems in Health Care and Pharma

With the growth of AI comes concerns about fairness and bias in the development, training, and deployment of agentic AI systems in health care and pharma. This episode features an interview with an expert on algorithmic fairness and bias who conducts research on responsible AI – Dr. Kalinda Ukanwa, Assistant Professor of Marketing at University of California, Irvine. Dr. Ukanwa explains how bias can arise in AI tools and systems for health care, the conditions under which biases could be exacerbated in the use of these tools, and strategies for identifying and overcoming bias in agentic AI systems for health care and pharma.