Technical and ethical debt in the AI fair use crisis

The widespread use of copyrighted data to train AI systems without permission triggered a prolonged “AI fair use crisis.” This paper explores the legal, policy, technical, and ethical dimensions of this issue through the lens of technical and ethical debt. It defines the crisis, examines how copyright concerns arise throughout the AI development life cycle, and reviews key issues from ongoing legal cases. The analysis concludes with a set of proposed approaches to address the AI fair use crisis.

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Publication Details

Published
2025-08-05
DOI
https://doi.org/10.38105/spr.xlqvx619fl
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

Technical and ethical debt in the AI fair use crisis

L. Li, Gabriel Toscano, Emmanuel Petrov, Varun Sen Bahl
Law, AI, and Intellectual Property
article

Technical and ethical debt in the AI fair use crisis

L. Li, Gabriel Toscano, Emmanuel Petrov, Varun Sen Bahl
article en

Abstract

The widespread use of copyrighted data to train AI systems without permission triggered a prolonged “AI fair use crisis.” This paper explores the legal, policy, technical, and ethical dimensions of this issue through the lens of technical and ethical debt. It defines the crisis, examines how copyright concerns arise throughout the AI development life cycle, and reviews key issues from ongoing legal cases. The analysis concludes with a set of proposed approaches to address the AI fair use crisis.

Vol. 6
Openalex Percentile: Top 90%
Law, AI, and Intellectual Property
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Technical and ethical debt in the AI fair use crisis — L. Li, Gabriel Toscano, et al. · (2025) | TGRS Research Map | TGRS