Zoe Kahn

PhD Student


algorithmic decision making, responsible innovation.


Zoe Kahn is a PhD student in the Information School at UC Berkeley where her research investigates how technologies impact people and society, with a focus on algorithmic decision-making and responsible innovation. Zoe's research surfaces rich and actionable insights for building more just and equitable technical systems. She brings an interdisciplinary background to her work that blends sociology, technology, law and policy. Zoe is a fellow at the UC Berkeley Center for Technology, Society, and Policy, Center for Long-Term Cyber Security, and Algorithmic Fairness and Opacity Group. She received her B.A. summa cum laude in Sociology from New York University.



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. 


Last updated:

April 17, 2021