AI Health Virtual Seminar: Governance practices for fairness and equity: anticipating, identifying, and mitigating algorithmic bias
With the explosion of interest in healthcare applications of AI and machine learning, health systems are increasingly implementing clinical algorithms intended to benefit patient care and reduce costs. Integration with clinical care also brings risks, including the potential for biased algorithms to automate and entrench existing health disparities. In this 1-hour seminar, we will share examples of bias in healthcare algorithms, discuss ways to assess bias potential across the modeling lifecycle, and offer strategies for mitigation. We will also consider how bias assessment fits into the algorithmic governance framework at Duke Health.
Please join us for this lunchtime virtual seminar. The presentation will be accessible to a broad audience, including those with no prior background in health data science or artificial intelligence.