Publications
Law Review Articles
Unreasonable School Surveillance, Wis. L. Rev. (forthcoming 2026)
Student Privacy’s Student Neglect: Toward a Student-Centric Paradigm, 93 Geo. Wash. L. Rev. 535 (2025)
Big Proctor: Online Proctoring Problems and How FERPA Can Promote Student Data Due Process, 3 Notre Dame J. on Emerging Tech. 74 (2022)
The Silicon Ceiling: How Artificial Intelligence Constructs an Invisible Barrier to Opportunity, 91 UMKC L. Rev. 403 (2022)
Excerpted in William McGeveran, Privacy and Data Protection Law (West Academic: 2nd ed. 2023) and Daniel Solove & Paul Schwartz, Information Privacy Law (Aspen: 11th ed. 2023)
The Limits of Education Purpose Limitations, 71 U. Miami L. Rev. 494 (2017)
Student Privacy Principles for the Age of Big Data: Moving Beyond FERPA and FIPPs, 8 Drexel L. Rev. 339 (2016)
Excerpted in Daniel Solove & Paul Schwartz, Information Privacy Law (Aspen: 11th ed. 2023)
In Bed with the Military: First Amendment Implications of Embedded Journalism, 80 N.Y.U. L. Rev. 1309 (2005)
Reprinted in The First Amendment Law Handbook (Rodney Smolla ed., Reporters Comm. for Freedom of the Press, Carolina Academic Press 2006)
Book Chapters
Generative AI and the Fundamental Limitations of U.S. Privacy Law, in The Cambridge Handbook of Generative AI and the Law 255 (Mimi Zou, Cristina Poncibò, Martin Ebers & Ryan Calo eds., Cambridge Univ. Press 2025)
Children, Education, and Technologies: Current Debates, Key Concerns, and Future Directions Around Data Privacy, Surveillance, and Datafication, in Handbook of Children and Screens (Dimitri A. Christakis & Lauren Hale eds., Springer 2025) (with Velislava Hillman et al.)
Robot Teaching, Pedagogy, and Policy, in The Oxford Handbook of Ethics of AI 788 (Markus D. Dubber, Frank Pasquale & Sunit Das eds., Oxford Univ. Press 2020)
Cited in Fabio Morandín-Ahuerma, Montreal Declaration for Responsible AI: 10 Principles and 59 Recommendations (2023)
Education Technology & Student Privacy, in The Cambridge Handbook of Consumer Privacy 70 (Evan Selinger, Jules Polonetsky & Omer Tene eds., Cambridge Univ. Press 2018)
Unpacking Student Privacy, in Handbook of Learning Analytics 327 (Charles Lang et al. eds., Soc’y for Learning Analytics Rsch. 2017)
The Legal and Privacy Implications of Data Mining, in Business Analytics: An Introduction 213 (Jay Liebowitz ed., Auerbach Publ’ns 2013)
Peer Reviewed Works
Recognizing Privacy Harm: Progress and Pressing Questions, 31 Lex Electronica 8 (2026)
Expanding the Paradigm: Generative Artificial Intelligence and U.S. Privacy Norms, 1 Cambridge F. on AI: L. & Governance e16 (2025)
Learner Privacy in MOOCs and Virtual Education, 16 Theory and Res. Educ. 280 (2018) (with Helen Nissenbaum)
The Structural Consequences of Big Data-driven Education, 5 Big Data 164 (2017)
Cited in Algorithms: How Companies’ Decisions About Data and Content Impact Consumers: Hearing Before the H. Comm. on Energy and Commerce, Subcomm. on Commc’n and Tech. and Subcomm. on Digital Commerce and Consumer Prot., 115th Cong. 16 (2017) (statement of Frank Pasquale)
Reports
Report of the 1st Workshop on Generative AI and Law, arXiv preprint arXiv:2311.06477 (2023) (with A. Feder Cooper, James Grimmelmann et al.)
Artificial Intelligence in Strategic Context: An Introduction, AI Pulse (2019) (with Edward Parson et al.)
19 Times Data Analysis Empowered Students and Schools, Future of Privacy Forum (2016)
Popular Publications
Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions, 54 Educause Rev. 30 (2019)
Student Data Privacy: Going Beyond Compliance, 16 Nat’l Ass’n of State Bds. of Educ. State Educ. Standard 21 (May 2016)
Algorithms Can Be Lousy Fortunetellers, Slate (2015)