International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Patentability of AI-Generated Inventions: A Comparative Analysis of Global Patent Law Frameworks and Their Adaptation to Artificial Intelligence Innovation

Author(s) Ms. Krupa P Nadgir, Ms. Lahari R, Ms. M Nithyashree, Ms. Manasa S, Prof. Shruthi M N
Country India
Abstract The rapid advancement of artificial intelligence systems capable of autonomous invention has exposed fundamental inadequacies in existing patent law frameworks, which were conceived under the presumption of human inventorship. Current patent regimes across major jurisdictions struggle to address critical questions regarding inventorship attribution, disclosure requirements, and patentability criteria when inventions emerge from AI systems with minimal human intervention. The legal uncertainty surrounding AI-generated inventions threatens to undermine both innovation incentives and the foundational principles of patent law, creating a regulatory gap that demands urgent attention.
This study employs a comparative legal analysis methodology, examining patent law frameworks and judicial decisions across major jurisdictions: the United States, European Union, United Kingdom, Japan, India and Australia. The research synthesizes statutory provisions, patent office guidelines, court decisions, and administrative rulings to identify emerging patterns and divergent approaches. The analysis is supplemented by an examination of significant case studies, particularly the DABUS patent applications, and review of industry practices in AI-driven innovation sectors.
The research reveals a fundamental schism in global patent systems’ treatment of AI-generated inventions. While some jurisdictions maintain strict human inventorship requirements, others are exploring adaptive frameworks that could accommodate non-human invention processes. The study identifies three primary approaches: restrictive human-centric models, flexible attribution systems, and emerging hybrid frameworks. Critical patentability challenges include the inadequacy of traditional disclosure requirements for AI-generated inventions, difficulties in applying obviousness standards to machine learning outputs, and the philosophical tension between rewarding human creativity and incentivizing AI development.
The fragmented global response to AI inventorship threatens to create significant disparities in innovation protection and commercialization strategies across borders. The findings suggest that current legal uncertainty may be deterring investment in AI research and development while simultaneously creating opportunities for forum shopping and strategic patent filing behaviors. The study concludes that coordinated international reform is essential to maintain the patent system’s role in promoting innovation while adapting to the realities of AI-driven technological advancement.
Keywords artificial intelligence, patent law, inventorship, intellectual property, innovation policy, DABUS, comparative legal analysis
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-22
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E-ISSN 2582-2160
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