Patrick K. Lin
Digital Technology & Human Rights Attorney
Patrick K. Lin is an attorney and researcher focused on AI, privacy, and technology regulation. He is the author of Machine See, Machine Do, a book that explores the ways public institutions use technology to surveil, police, and make decisions about the public, as well as the historical biases that impact that technology.
Patrick has extensive experience in impact litigation and policy advocacy, having worked for the ACLU, FTC, EFF, and other organizations that advocate for digital rights and social justice. He is passionate about addressing the ethical and legal challenges posed by emerging technologies, especially in the areas of surveillance, algorithmic bias, and data privacy. He also serves as the junior board chair of the Surveillance Technology Oversight Project (STOP). Patrick has published multiple articles and papers on topics such as facial recognition, data protection, and copyright law.
- New York University
- B.A. | Economics
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- Brooklyn Law School
- J.D. (2022)
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- Honors: Brooklyn Law Review Alternative Dispute Resolution Honor Society Certificate in Intellectual Property, Media, and Information Law (with distinction)
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- Judicial Law Clerk
- U.S. District Court (SDNY)
- - Current
- Litigation Associate - Digital Technology & Human Rights Group
- Eisenberg & Baum LLP
- - Current
- Judith Bresler Fellow
- Center for Art Law
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- M&A Associate
- Latham & Watkins LLP
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- Legal Intern
- Electronic Frontier Foundation
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- Legal Intern - Bureau of Consumer Protection
- Federal Trade Commission
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- Legal Intern - Digital Technology & Human Rights Group
- Eisenberg & Baum LLP
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- Summer Associate
- Fried, Frank, Harris, Shriver & Jacobson LLP
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- Legal Intern - Speech, Privacy, and Technology Project
- ACLU
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- Judicial Intern
- U.S. District Court (SDNY)
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- The Honorable Lorna G. Schofield
- Judicial Intern
- U.S. District Court (EDNY)
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- The Honorable Steven L. Tiscione
- Retrofitting Fair Use: Art & Generative AI After Warhol
- Santa Clara Law Review
- Data Intermediaries: Fourth Amendments, Third Parties, Second Chances, and First Principles
- MIT Computational Law Report
- Fair’s Fair: How Public Benefit Considerations in the Fair Use Doctrine Can Patch Bias in Artificial Intelligence Systems
- Indiana Journal of Law & Social Equality
- How to Save Face & the Fourth Amendment: Developing an Algorithmic Accountability Industry for Facial Recognition Technology in Law Enforcement
- Albany Law Journal of Science & Technology
- Machine See, Machine Do: How Algorithms Mirror Discriminatory Police Practices, A BETTER TECH: Public Interest Technology Convention, New York, NY (Virtual)
- New York University
- In the Loop: Human Error in the Deployment of Lethal Autonomous Weapon Systems, National/Cyber Security CLE Webinar, New York, NY (Virtual)
- New York County Law Association
- In the Loop: Human Error in the Deployment of Lethal Autonomous Weapon Systems, National/Cyber Security CLE Webinar, New York, NY (Virtual)
- New York County Law Association
- Generative AI: What Power New Tools Mean for Washington . . . and Homework, State of the Net, Washington, DC
- Internet Education Foundation
- Digital Spaces & Public Goods, Responsible Tech Summit, New York, NY
- All Tech Is Human & Consulate General of Canada in New York
- State Bar of New York
- Member
- - Current
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- New York
- New York State Office of Court Administration
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- Civil Rights
- Americans with Disabilities Act (ADA), Discrimination, Employment, Fair Housing, Police Misconduct, Privacy Law
- Communications & Internet Law
- Internet Law
- Appeals & Appellate
- Federal Appeals
- Intellectual Property
- Consumer Law
- Class Action