Zoe Kahn is a PhD student at the UC Berkeley School of Information where she collaborates with data scientists and designers to understand how technologies impact people and society, with a particular interest in AI and ethics, algorithmic decision making, and responsible innovation. As a qualitative researcher, Zoe ask questions of people and data that surface rich and actionable insights. Zoe brings an interdisciplinary background to her work that blends sociology, technology, law, and policy. She received her B.A. summa cum laude in Sociology from New York University in 2014. She is fellow at the Center for Technology, Society and Policy, Center for Long-Term Cyber Security, and Algorithmic Fairness and Opacity Working Group at UC Berkeley.
Burrell, J., Z. Kahn, A. Jonas, and D. Griffin (2019) When Users Control the Algorithms: Values Expressed in Practices on Twitter, in proceedings of the ACM Computer-Supported Cooperative Work and Social Computing (CSCW) conference. Austin, TX.