Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/65212
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dc.contributor.authorBanerjee, Arunabha-
dc.date.accessioned2025-01-16T09:11:21Z-
dc.date.available2025-01-16T09:11:21Z-
dc.date.issued2025-01-
dc.identifier.issn0975-1076 (Online); 0971-7544 (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/65212-
dc.description12-25en_US
dc.description.abstractThis paper examines the general commercial implications of denying inventorship to an artificial intelligence (AI) programme which functions independent of its human creator and generates patentable products or processes. Traditional rules of inventorship pre-suppose that an inventor must be a natural person capable of exercising rights and being bound by duties and liabilities in relation to the patented invention. Thus, AI becomes automatically disqualified and cannot be named as an inventor in a patent application for this small technicality. Recently, patent applications filed by Dr. Stephen Thaler for inventions by his AI DABUS, have been rejected due to this hurdle. The article highlights the need for clarity in the area of patent inventorship for AI. Even when objections are raised based on traditional patent law principles, one must not forget that historically, commercial incentive has been the core objective of every patent legal system. Thus, encouraging applicants to step forward with new and useful innovations has always remained at the forefront of patent laws worldwide. The article elaborates on this conflict and suggests a suitable solution that appears satisfactory to all stakeholders.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceJIPR Vol.30(1) [January 2025]en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectIncentive Theoryen_US
dc.subjectInventorshipen_US
dc.subjectPatentsen_US
dc.titleAutonomy of AI in Patents: Reconciling Commercial Incentive with Traditional Inventorshipen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jipr.v30i1.3714en_US
Appears in Collections:JIPR Vol.30(1) [January 2025]

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