Legal Implications of Artificial Intelligence and Machine Learning Algorithms in Intellectual Property Protection: A Comparative Analysis
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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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).”
From My Teammate is an AI: Evaluating Generative AI in Game Asset Creation through a Post-GameJam Study (2025) · cites this paper as Kazimi and Thalwal, 2024
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Technology and Intellectual Property Rights: Implications, Challenges, and Future Directions
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Self-citation
- 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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