Zoe Kahn is a 4th year PhD student at the UC Berkeley School of Information. Her research uses qualitative research methods to surface how AI/ML systems may cause harm to people and society, with the aim of influencing either how technologies are designed or the policies that surround the use of technology. Zoe has conducted fieldwork in rural communities in the United States, worked on issues of homelessness in the bay area, and is currently working on a project that uses AI/ML to allocate humanitarian aid to people in Togo who are living in extreme poverty. Prior to graduate school, Zoe graduated summa cum laude from NYU in Sociology and then worked first as a product manager at a technology startup, and then as a legal assistant at a plaintiff's employment law firm. Zoe is a fellow with the UC Berkeley Center for Technology, Society and Policy, Center for Long-Term Cybersecurity, and Algorithmic Fairness and Opacity Working Group. Her research has received funding from the Social Science Research Council.
Zoe Kahn and Jenna Burrell. 2021. A Sociocultural Explanation of Internet-Enabled Work in Rural Regions. ACM Trans. Comput.-Hum. Interact. 28, 3, Article 17 (July 2021), 22 pages. DOI:https://doi.org/10.1145/3443705
Jenna Burrell, Zoe Kahn, Anne Jonas, and Daniel Griffin. 2019. When Users Control the Algorithms: Values Expressed in Practices on Twitter. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 138 (November 2019), 20 pages. DOI:https://doi.org/10.1145/3359240