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AI and the Gender Pay Gap in Medicine
September 13 @ 8:00 pm - 9:00 pm EDT
AI and the Gender Pay Gap in Medicine
Wednesday, September 13 @ 8-9pm ET
Presented by:
Rebekah Apple, MA, DHSc
AI promises advancements faster than we’ve ever seen in healthcare. Most of us know that AI-generated information is only as accurate as the foundational data provided to the machines. This session will consider the systemic biases which have been “baked into” algorithms and what steps need to be taken to ensure AI doesn’t perpetuate gender pay gaps.
Objectives:
1) Discuss opportunities to create gender-inclusive AI principles
2) Understand how to use data to improve hiring practices and performance reviews
3) Examine the true nature of “social good” created through AI
Meet the Speaker:
Dr. Rebekah Apple, MA, DHSc
Rebekah Apple, MA, DHSc
Director, Master’s of Medical Management, Carnegie Mellon University
Rebekah Apple is also Carnegie Mellon faculty, teaching organizational ethics in the MMM program and Applied Ethical Analysis to graduate students from all CMU colleges. She is a medical ethicist for University of Pittsburgh Medical Center and teaches bioethics to first and third year medical students at the University of Pittsburgh.
