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@article{187649,
        author = {Sriyaa Sambasivam},
        title = {Comparative Analysis Of Global Legislations On AI Authorship: Legal Frameworks And Emerging Trends},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6369-6377},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187649},
        abstract = {Artificial Intelligence (AI) has emerged as a transformative technology capable of performing complex tasks with minimal human intervention. Within this spectrum, Generative AI—exemplified by models such as ChatGPT, Google Bard, and DeepAI—creates diverse forms of content, including text, images, and music. While these tools have been widely adopted by academicians, students, and professionals, they simultaneously raise pressing concerns surrounding copyright. A significant portion of training datasets comprises copyrighted works, yet the legal implications of such usage remain inadequately addressed. This paper examines the subsistence and scope of copyright protection in AI-generated works, analysing their copyrightability under global frameworks and within the Indian legal regime. It further also sheds light on the copyrightability of such AI-generated work by tracing the mechanisms of generative AI content creation, the challenges posed to existing copyright principles, and the potential disruptions to traditional notions of authorship and originality. Finally, the paper assesses the broader impact of AI-generated works on India’s copyright landscape and proposes recommendations to address the evolving challenges in this domain.},
        keywords = {Generative AI, ChatGPT, Copyright, Authorship.},
        month = {November},
        }