Nielsen, Aileen
Education
Ph.D. Candidate (ETH Zurich)
M.S. in Applied Physics (Columbia University)
J.D. (Yale Law School)
M.A. in Comparative Human Development (University of Chicago)
B.A. in Anthropology (Princeton University)
Biography
Aileen Nielsen is a Ph.D. Student at the Center for Law & Economics and joined as a Fellow in Law & Tech, following time spent practicing law in New York City and pursuing graduate studies in solid state physics. Aileen has also worked at a variety of tech startups, including healthcare and political organizations. She holds a J.D. from Yale Law School and a B.A. from Princeton University.
Research Overview
Aileen studies regulatory and judicial responses to technological innovation with both empirical and experimental methods. She is particularly interested in the emerging development of regulatory infrastructure for data-driven AI and its enabling devices.
Publications
- Download The Rights and Wrongs of Folk Beliefs About Speech: Implications for Content Moderation (PDF, 1.2 MB), UCLA Journal of Law &Technology, 27(2), 118-168 (2022)
- Download Tech Has An Attention Problem (PDF, 1.5 MB), CLTC White Paper Series, Center for Long-term Cybersecurity, UC Berkeley (2021)
- external page When Does Physician Use of AI Increase Liability? (with Kevin Tobia & Alexander Stremitzer), Journal of Nuclear Medicine, 62(1), 17-21 (2021)
- Download Measuring Lay Reactions to Personal Data Markets (PDF, 410 KB), Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), May 19–21, 2021
Working Papers
- The Too Accurate Algorithm, Center for Law & Economics Working Papers Series, 2022/09
- Can a Computer Invade Your Privacy? An Experimental Matchup of Algorithmic and Human Surveillance, Center for Law & Economics Working Papers Series, 2022/10
- Experimental Evidence on the Fairness of Medical Data Sales, Center for Law & Economics Working Papers Series, 2022/11
- Private Sector Regulation Increases Contact Tracing App Uptake: A Lesson for Vaccines and Digital Health Passports, Center for Law & Economics Working Papers Series, 2022/12
Books
- external page Practical Fairness (2020)
- external page Practical Time Series Analysis (2019)
Teaching
- since HS 2021: Algorithms and Fairness
- since FS 2020: Research Paper in Law and Tech
- since HS 2019: Law & Tech
- HS 2020: Approaches to Authentication and Security: Views from Law, Economics, and the Scientific Disciplines