Digital Intelligence: Algorithmic Bias

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Speaker(s): Nita Farahany and Joselyn McDonald
Computational algorithms are currently used in a wide variety of socially impactful domains - including business, healthcare, and criminal justice - with little oversight or accountability measures in place. We know that while these systems may appear to produce objective outcomes, they can include human biases encoded into the datasets used to derive decisions. In this session, we'll view a pre-produced video discussion with leading algorithmic bias experts, and then collectively examine this topic through an applied ethical lens.

This event is a partnership between Science and Society, OIT, and the Center for Computational Thinking.
Sponsor

+DataScience (+DS)

Co-Sponsor(s)

Biostatistics and Bioinformatics; Duke Initiative for Science & Society; Electrical and Computer Engineering (ECE); Information Initiative at Duke (iiD); Law School; Machine Learning; Office of Information Technology (OIT); Philosophy; Pratt School of Engineering; Trent Center for Bioethics, Humanities & History of Medicine

Virtual

Contact

None