Maura R. Grossman

University of Waterloo - David R. Cheriton School of Computer Science

Waterloo, Ontario N2L 3G1

Canada

York University - Osgoode Hall Law School

SCHOLARLY PAPERS

6

DOWNLOADS
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Top 22,770

in Total Papers Downloads

4,717

TOTAL CITATIONS

1

Scholarly Papers (6)

1.

The GPTJudge: Justice in a Generative AI World

Duke Law & Technology Review, Vol. 23, No. 1, 2023, Duke Law School Public Law & Legal Theory Series No. 2023-30
Number of pages: 26 Posted: 26 May 2023 Last Revised: 21 Jun 2023
Maura R. Grossman, Paul W. Grimm, Daniel G. Brown and Molly Xu
University of Waterloo - David R. Cheriton School of Computer Science, Duke University School of Law, University of Waterloo - David R Cheriton School of Computer Science and University of Waterloo - David R Cheriton School of Computer Science
Downloads 2,788 (10,125)

Abstract:

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artificial intelligence, generative AI, creative AI, evidence, copyright

2.

Is Disclosure and Certification of the Use of Generative AI Really Necessary?

Judicature, Vol. 107, No. 2, October 2023 (Forthcoming)
Number of pages: 16 Posted: 13 Aug 2023 Last Revised: 19 Aug 2023
Maura R. Grossman, Paul W. Grimm and Daniel G. Brown
University of Waterloo - David R. Cheriton School of Computer Science, Duke University School of Law and University of Waterloo - David R Cheriton School of Computer Science
Downloads 833 (62,409)
Citation 1

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generative AI, artificial intelligence, standing orders, large language models

3.

Deepfakes in Court: How Judges Can Proactively Manage Alleged AI-Generated Material in National Security Cases

Northwestern Law & Econ Research Paper No. 24-18, Northwestern Public Law Research Paper No. 24-26
Number of pages: 52 Posted: 10 Sep 2024
Northwestern Pritzker School of Law & McCormick School of Engineering, Northwestern University - Northwestern Pritzker School of Law, Northwestern University, Duke University School of Law, University of Waterloo - David R. Cheriton School of Computer Science, Northwestern University, Northwestern University and United States District Courts
Downloads 562 (103,670)

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deepfake, evidence, authentic, prejudicial, probative, jury, juror, judge, Artificial Intelligence, Federal Rules of Evidence, Federal Rules of Civil Procedure, Generative AI, Generative Artificial Intelligence, authentication of AI, deepfake detection, evidence, national security, election integrity, misinformation, disinformation, deepfakes, deep fake, deep fakes, watermark, Federal Rule of Evidence 901, Federal Rule of Evidence 403, AI-generated material, AI-generated evidence

4.

Does the LLMperor Have New Clothes? Some Thoughts on the Use of LLMs in eDiscovery

Number of pages: 7 Posted: 11 Oct 2024
Maura R. Grossman, Gordon V. Cormack and Jason R. Baron
University of Waterloo - David R. Cheriton School of Computer Science, University of Waterloo and University of Maryland
Downloads 352 (179,452)

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Generative AI, Gen AI, Electronic Discovery, eDiscovery, Technology-Assisted Review, TAR, Large Language Models, LLMs

5.

AI in the Courts: How Worried Should We Be?

U of Penn Law School, Public Law Research Paper No. 24-53, Judicature, Vol. 107, p.65, 2024
Number of pages: 10 Posted: 09 Dec 2024 Last Revised: 10 Dec 2024
Paul W. Grimm, Maura R. Grossman and Cary Coglianese
Duke University School of Law, University of Waterloo - David R. Cheriton School of Computer Science and University of Pennsylvania Carey Law School
Downloads 164 (380,062)

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Courts, legal system, artificial intelligence, generative AI, ChatGPT, machine learning, biased data, misinformation and disinformation, regulation, technology

6.

Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers' Experiences with Generative AI

Number of pages: 23 Posted: 28 Jan 2025
Carolyn Lamb, Daniel G. Brown and Maura R. Grossman
Queen’s University, University of Waterloo - David R Cheriton School of Computer Science and University of Waterloo - David R. Cheriton School of Computer Science
Downloads 18 (1,132,884)

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generative AI, queer studies, disability studies, fiction authors, mixed-methods