International Journal For Multidisciplinary Research

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Volume 8 Issue 5
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Generative AI and Copyright in India: An Empirical Study of Stakeholder Perceptions on Consent, Licensing, Transparency, Compensation and Legal Reform

Author(s) Mr. Shailesh Jayprakash Singh, Dr. Zaman Fatima Rizvi
Country India
Abstract Generative AI has brought a practical copyright question to the centre of Indian policy: on what terms, if any, should copyright-protected works be used in training models? This paper reports an exploratory mixed-method study of 105 respondents drawn from five stakeholder groups - software professionals, lawyers and academicians, authors, content creators, and students or researchers. Nineteen Likert-scale items and three open-ended questions were used to examine views on permission, licensing, compensation, disclosure, research use, trust, enforcement and legal reform. Mandatory licensing attracted the strongest support (M=4.39; 85.7% agreement), followed by AI-specific legislative reform (M=4.36; 84.8%), legal prohibition of unauthorised training (M=4.34; 82.9%), training-data disclosure (M=4.30; 81.0%) and creator compensation (M=4.29; 78.1%). Seventeen of the 19 items differed significantly from the neutral midpoint after false-discovery-rate correction. The two status-quo items - adequacy of the present Copyright Act and sufficiency of existing enforcement - did not show a clear departure from neutrality. The responses also show that support for creator protection is compatible with more lenient treatment of genuine non-commercial research and with recognition of AI's social benefits. Professional-category differences did not remain significant after multiple-testing correction. The findings should not be read as nationally representative, but they provide stakeholder evidence relevant to the current Indian debate on AI training, copyright licensing, transparency and reform.
Keywords Generative AI, Copyright, India, AI Training, Licensing, Compensation, Transparency, Text and Data Mining, Empirical Legal Studies, AI Governance
Field Sociology > Administration / Law / Management
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-09-11
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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