Working papers and drafts are on my SSRN author page.

Books

  • Aileen Nielsen, Practical Fairness: Building Fair and Secure Data Models (O’Reilly Media, 2020). [link]
  • Aileen Nielsen, Practical Time Series Analysis: Prediction with Statistics and Machine Learning (O’Reilly Media, 2019). [link]

Law Review Publications

  • Aileen Nielsen, Can AI, As Such, Invade Your Privacy? An Experimental Study of the Social Element of Surveillance, 100 Ind. L.J. 1671 (2025). [link]
  • Aileen Nielsen, Too Accurate A.I., 2024 Mich. St. L. Rev. 425. [link]
  • Yafit Lev-Aretz & Aileen Nielsen, Privacy Notice and the Blame Game, 28 Va. J.L. & Tech. 1 (2025). [link]
  • Yafit Lev-Aretz & Aileen Nielsen, Privacy as a Matter of Public Health, 26 Colum. Sci. & Tech. L. Rev. 107 (2025). [link]
  • Aileen Nielsen, Whose Data, Whose Value? Simple Exercises in Data and Modeling Valuation with Implications for Tech Law and Policy, 99 N.Y.U. L. Rev. Online (2024). [link]
  • Aileen Nielsen, Taboo and Technology: Experimental Studies of Data Protection Reform, 26 N.Y.U. J. Legis. & Pub. Pol’y 349 (2024). [link]
  • Aileen Nielsen, The Rights and Wrongs of Folk Beliefs About Speech: Implications for Content Moderation, 27 UCLA J.L. & Tech. 118 (2022). [link]

Refereed Publications

  • Alessandro Tacconelli, Jakob Merane, Aileen Nielsen, Kevin Tobia, Björn Hackanson & Alexander Stremitzer, How Following Medical Artificial Intelligence Advice Can Mitigate Malpractice Liability: Cross-National Insights from a Randomized Trial, J. Nuclear Med. (2026). [link]
  • Aileen Nielsen, AI’s Categorical Fairness, 5 Am. J.L. & Equality 89 (2025). [link]
  • Aileen Nielsen, Algorithms in the Privacy Torts, J. Tort L. (2025). [link]
  • Aileen Nielsen, Stavroula Skylaki, Milda Norkute & Alexander Stremitzer, Building a Better Lawyer: Experimental Evidence that AI Can Increase Legal Work Efficiency, J. Empirical Legal Stud. (2024). [link]
  • Aileen Nielsen, Can Cities Shape Future Tech Regulation?, 1 Nature Cities 10 (2024). [link]
  • Kevin Tobia, Aileen Nielsen & Alexander Stremitzer, When Does Physician Use of AI Increase Liability?, 62 J. Nuclear Med. 17 (2021). [link]

Conference Publications

  • Aileen Nielsen & Arna Woemmel, Invisible Inequities: Confronting Age-Based Discrimination in Machine Learning Research and Applications, ICML Workshop on Generative AI and Law (2024). [link]
  • Aileen Nielsen, Stavroula Skylaki, Milda Norkute & Alexander Stremitzer, Effects of XAI on Legal Process, ICAIL ‘23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (2023). [link]
  • Aileen Nielsen, Measuring Lay Reactions to Personal Data Markets, AIES ‘21: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (2021). [link]
  • Aileen Nielsen, Do Markets Make Sense for Personal Data?, ICML Workshop on Economics of Privacy and Data Labor (2020). [link]

Reports and Book Chapters

  • Aileen Nielsen, Fairness and Privacy, in Reliable Machine Learning (O’Reilly Media, 2022). [link]
  • Aileen Nielsen, Tech Has an Attention Problem (UC Berkeley Center for Long-Term Cybersecurity white paper series, 2021). [link]