Home / Volume 6, Issue 3 / ChatGPT and the Looming Concern of IP Infringement Open access · CC BY-NC 4.0
Article Volume 6 Issue 3 1632 - 1638 May 27, 2023

ChatGPT and the Looming Concern of IP Infringement

Lead author · Corresponding
Irine Elsa Cherian
Student at Kerala Law Academy Law College, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.114900
Abstract

The problem of intellectual property infringement related to AI arises from the ability of intelligent computer programs to generate content that may infringe existing intellectual property rights, such as copyrighted material. ChatGPT, an AI program based on the GPT-4 architecture, is an example of a technology that can evoke human-like responses to various prompts, allowing ownership of generated data, potential Concerns arise about violations and the ethical implications of use. Machine-generated content without proper attribution. As AI programs become more sophisticated, the potential for intellectual property infringement increases. The advent of intelligent computer programs poses unique challenges to the intellectual property field, as AI-generated content can steal ideas from existing works or infringe on copyrighted material. is occurring. For example, programs like ChatGPT can be used to create written content that infringes intellectual property rights. The potential impact of IP breaches related to ChatGPT and other AI programs could affect different parties in different ways. Content creators can suffer lost sales and brand dilution due to intellectual property infringement. Companies that use AI-generated content for commercial purposes may face legal repercussions and reputational damage if they use content that infringes their intellectual property rights. It is important to consider the legal and ethical implications of intellectual property infringements related to AI and take appropriate steps to ensure the protection of intellectual property rights.

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Article
Information
International Journal of Law Management and Humanities, Volume 6, Issue 3, Page 1632 - 1638
DOI: https://doij.org/10.10000/IJLMH.114900
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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