Ziad Obermeyer is a Professor of Health Policy and Managementat the UC Berkeley School of Public Health where he conducts research at the intersection of machine learning, medicine, and health policy. Previously, he was a professor at Harvard Medical School and consultant at McKinsey & Co. He continues to practice emergency medicine in underserved parts of the US and is also a co-founder of Nightingale Open Science, a computing platform givingresearchers access to massive new health imaging datasets. In this episode, you'll hear how he ended up co-authoring the seminal study to identify bias in AI health systems, published in Science in 2019, and whether you should be using his Algorithmic Bias Playbook.Links to referenced articles and playbook: http://ziadobermeyer.com/research/https://www.chicagobooth.edu/research/center-for-applied-artificial-intelligence/research/algorithmic-bias

Ver todos los episodios