Navigating Intellectual Property Rights in the Age of AI: Ownership, Rights and Challenges with Generative AI Creations

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dc.contributor.advisorGohain, Monmi
dc.contributor.authorVashistha, Vaishali
dc.creator.researcherVashistha, Vaishali
dc.date.accessioned2025-07-25T07:52:41Z
dc.date.available2025-07-25T07:52:41Z
dc.date.copyright2024
dc.date.issued2024
dc.date.submitted2024-06
dc.descriptionTo elaborate, this dissertation aims at exploring how the IPR recognized in copyright, patents, trademarks and trade secrets laws interact with Generative AI’s outputs. These are the written, recorded case scenarios and specialists’ recommendations for legal amendments to address the issues that arise within the given legal framework in connection with the specific use of such technologies. Nevertheless, some inherent limitations can be identified with this study as with many a like undertaking. These are; The legal structures vary across the globe, progression in AI technology may thwart be fast than the findings made, often it’s hard to access data for deeper analysis, and the issues concerning ethicality and economics are often categorized as qualitative nature.
dc.description.searchVisibilitytrue
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://dlnluassam.ndl.gov.in:4004/handle/123456789/648
dc.language.isoeng
dc.publisherNational Law University and Judicial Academy Assam
dc.publisher.date2024-06
dc.publisher.departmentLaw
dc.publisher.institutionNational Law University and Judicial Academy Assam
dc.publisher.placeGuwahati
dc.rights.accessRightsopen
dc.sourceNational Law University and Judicial Academy, Assam
dc.source.urihttp://www.nluassam.ac.in/
dc.subjectArtificial Intelligence
dc.subjectPatent And AI
dc.titleNavigating Intellectual Property Rights in the Age of AI: Ownership, Rights and Challenges with Generative AI Creations
dc.typetext
lrmi.educationalAlignment.educationalFrameworkUniversity Grants Commission (UGC)
lrmi.educationalAlignment.educationalLevelug_pg
lrmi.educationalUseresearch
lrmi.learningResourceTypethesis
lrmi.typicalAgeRange18-22
lrmi.typicalAgeRange22+
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LL.M Dissertation 2023-24