Unlicensed data for trained intelligence: the legal quagmire of copyright infringement and liability in generative AI training

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Public Law and Policy
Published
2025-01-01
DOI
https://doi.org/10.1504/ijplap.2025.10073205
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

Unlicensed data for trained intelligence: the legal quagmire of copyright infringement and liability in generative AI training

Susmit Isfaq, Raajdwip Vardhan
1 links
International Journal of Public Law and Policy
Law, AI, and Intellectual Property
article

Unlicensed data for trained intelligence: the legal quagmire of copyright infringement and liability in generative AI training

Susmit Isfaq, Raajdwip Vardhan
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Public Law and PolicyVol. 1(1)
Openalex Percentile: Top 88%
Law, AI, and Intellectual Property
DOISourceOpenAlex
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Unlicensed data for trained intelligence: the legal quagmire of copyright infringement and liability in generative AI training — Susmit Isfaq, Raajdwip Vardhan · International Journal of Public Law and Policy (2025) | TGRS Research Map | TGRS