Exploring Emerging Challenges, Prospects, and Legal Implications: Copyright and Patent Laws in AI-Generated Works
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Title |
Exploring Emerging Challenges, Prospects, and Legal Implications: Copyright and Patent Laws in AI-Generated Works
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Creator |
Ahuja, Megha Rani
Kumar, D Ganesh |
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Subject |
Artificial Intelligence
Intellectual Property Rights Regulation of Artificial Intelligence Inventions Creative Works Copyright Infringement Copyright Protection AI-generated Content Patent Enforcement Patentable Subject Matter Ethical Implications |
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Description |
165-172
Computers today are capable of digesting large data sets, discovering hidden patterns in the data, and learning intuitively from the data - all at speeds far exceeding human capabilities. Artificial Intelligence (AI) has taken center stage in the commercial world, and its impact is both apparent and tangible. Many companies are implementing AI into their products and services to boost their global positioning and performance. As AI continues to revolutionize creative and inventive processes, the interface between copyright and patent law faces unprecedented challenges and opportunities. This article addresses the evolving landscape of AI-generated works and examines the complex balance between intellectual property right (IPR) and technological advances. It examines the current legal framework, analyzes its effectiveness in addressing AIgenerated content, and identifies emerging issues. Additionally, this study examines the impact on creators, innovators, and industries that rely on AI-generated outcomes. By examining case studies and current legal precedents, this research sheds light on the ambiguities, potential, and limitations of the copyright and patent laws that govern AI-generated works. Ultimately, it aims to provide insights into managing complexity, fostering innovation and ensuring equitable protection in this dynamic area of Intellectual Property (IP) Law. |
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Date |
2024-05-31T11:21:32Z
2024-05-31T11:21:32Z 2024-05 |
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Type |
Article
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Identifier |
0975-1076 (Online); 0971-7544 (Print)
http://nopr.niscpr.res.in/handle/123456789/64026 https://doi.org/10.56042/jipr.v29i3.3259 |
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Language |
en
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Publisher |
NIScPR-CSIR, India
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Source |
JIPR Vol.29(3) [May 2024]
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