Understanding Bias and Fairness in AI-enabled Healthcare SoftwareRegister
Contact InformationLuke Durocher
Duke-Margolis is hosting a virtual public meeting entitled Understanding Bias and Fairness in AI-enabled Healthcare Software. This meeting will convene stakeholders across disciplines for conversations on ways in which bias can affect artificial intelligence (AI) in healthcare software and how to promote fairness in artificial intelligence software, including methods to test for and prevent bias throughout the development process. The meeting will also discuss whether AI itself can play a role in reducing existing biases in the health care setting. Among the expert speakers will be a diverse array of computer scientists, bioethicists, statisticians, anthropologists, and federal regulators.
This webpage will be updated with meeting materials closer to the event.
Support for this project was provided by The Pew Charitable Trusts.