Amy Cyphert

Classes Taught

• Artificial Intelligence and the Law
• Civil Procedure
• Appellate Advocacy
• Professional Responsibility

Biography

Amy Beth Cyphert is an Associate Professor at the West Virginia University College of Law. Cyphert is a Morgantown native and a 2001 graduate of Carnegie Mellon University, where she was awarded a Truman Scholarship. Cyphert graduated cum laude from Harvard Law School in 2005 and went on to clerk for the Honorable Laura Taylor Swain in the Southern District of New York. Prior to joining WVU, Cyphert was a senior litigation associate with WilmerHale in New York City, where she focused on complex commercial litigation as well as First Amendment pro bono matters.

Cyphert developed and teaches courses on Artificial Intelligence and the Law, including Regulating AI. Her recent research has focused on generative artificial intelligence, its impact on the practice of law, as well as copyright implications. She has also written about technology regulation and algorithmic decision-making in the criminal justice system. In 2021, Cyphert received the Privacy Papers for Policymakers Award from the Future of Privacy Forum for her article on machine-learning algorithms and online surveillance.

Publications and Research

• Confronting the Challenges of Regulating Artificial Intelligence, Florida International University Law Review, forthcoming, 2025.
• Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice, preprint online arXiv:2412.06966 (2024) (with multiple coauthors).
• Generative AI, Plagiarism, and Copyright Infringement in Legal Documents, 25 Minn. J.L. Sci. & Tech. 49 (2024) (invited symposium manuscript).
• Code Blue: The Threat of Synthetic Data Use to Generative Medical AI, 24 Hous. J. Health L. & Pol’y (2025) (with Valarie K. Blake) (invited symposium manuscript).
• AI Cannibalism and the Law, 22 Colo. Tech. L. J. 301 (2024) (with Sean Tu and Sam Perl).
• Blockchain Safe Harbor? Applying the Lessons Learned from Early Internet Regulation,107 Marq. L. Rev. 145 (2023) (with Sam Perl).
• "A Change is Gonna Come:" Developing a Liability Framework for Social Media Algorithmic Amplification (with Jena Martin), 13 U.C. Irvine L. Rev. 55 (2022).
• Limits of Using Artificial Intelligence and GPT-3 in Patent Prosecution (with Sean Tu and Sam Perl), 54 Texas Tech L. Rev. 255 (2022).
• A Human Being Wrote This Law Review Article: GPT-3 and the Practice of Law, 55 U.C. Davis Law Review 401 (2021).
• Reprogramming Recidivism: The First Step Act and Algorithmic Prediction of Risk, 51 Seton Hall L. Rev. 331 (2020).
• Tinkering with Machine Learning: The Legality and Consequences of Online Surveillance of Students, 20 Nev. L.J. 457 (2020).
• The Devil is in the Details: Exploring Restorative Justice as an Option for Campus Sexual Assault Responses Under Title IX, 96 Denver L. Rev. 51 (2019).
• Objectively Offensive: The Problem of Applying Title IX to Very Young Students, 51 Fam. L. Q. 325 (2018).
• Prisoners of Fate: The Challenges of Creating Change for Children of Incarcerated Parents, 77 Md. L. Rev. 385 (2018).
• Addressing Racial Disparities in Preschool Suspension and Expulsion Rates, 82 Tenn. L. Rev. 893 (2015).

Education

• J.D., Harvard Law School, 2005
• B.A., Carnegie Mellon University, 2001