Cited by 7Law, AI, and Intellectual PropertyDigitalization, Law, and RegulationIntellectual Property Law

Legal Implications of Artificial Intelligence and Machine Learning Algorithms in Intellectual Property Protection: A Comparative Analysis

Kazimi, Jamshid, Thalwal, Harshita·2024·2024 7th International Conference on Green Technology and Sustainable Development (GTSD)

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies across industries has accelerated transformative changes, particularly within the intellectual property (IP) landscape. This research examines the impact of AI and ML on intellectual property (IP) law, focusing on patent and copyright law. It identifies a need to explore legal frameworks in response to technological advancements further. The study includes a thorough literature review, a comparative analysis of international legal frameworks, and an in-depth review of case law and treaties. It explores questions of ownership in AI and ML-generated inventions in patent law and issues of authorship and fair use in copyright law. The findings are expected to significantly contribute to the discussion of AI, ML, and intellectual property law.

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Crossref · 10.1109/gtsd62346.2024.10675218

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25 of 25 references verified0 citation errors · 0 not checkable

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  • As AI tools generate assets based on vast datasets, questions of intellectual property, authorship, and ownership become increasingly complex.

    “As AI tools generate assets based on vast datasets, questions of intellectual property, authorship, and ownership become increasingly complex (Kazimi and Thalwal, 2024).”

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Authors
Kazimi, J., & Thalwal, H.
Affiliations
Chandigarh University (IN)
Venue
2024 7th International Conference on Green Technology and Sustainable Development (GTSD)
Publisher
IEEE
Published
2024-07-25
Pages
32-38
OpenAlex
W4402744132
Cited by
5
References
25
Citations by year
2026: 1 · 2025: 4
FWCI
1.44
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Green Technology and Sustainable Development (GTSD) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Law › Intellectual Property Law
Keywords
artificial intelligence, machine learning, intellectual property law, patent law, copyright law, AI-generated inventions, ownership of AI-generated works, authorship, fair use, international legal framework, comparative law

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