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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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EXPLORING COPYRIGHT CHALLENGES OF AI-GENERATED WORKS IN INDIA: INSIGHTS FROM STAKEHOLDERS SURVEY

Authors: Adv. Jyoti Sharma;

EXPLORING COPYRIGHT CHALLENGES OF AI-GENERATED WORKS IN INDIA: INSIGHTS FROM STAKEHOLDERS SURVEY

Abstract

The rapid expansion of generative artificial intelligence has disrupted traditional copyright frameworks, raising complex legal and ethical concerns. This study explores copyright challenges associated with AI-generated works in India through doctrinal analysis and a stakeholder survey. The research examines issues of authorship, originality, ownership, and use of copyrighted material in AI training. Findings reveal strong stakeholder support for a human-centric copyright approach, greater transparency in AI-generated content, and clearer regulation of training datasets. The study identifies significant gaps in India’s Copyright Act, 1957, and recommends policy reforms aligned with global best practices to balance innovation with protection of creative rights.

Keywords

Artificial Intelligence, AI-Generated Works, Copyright Law, Authorship and Ownership, Stakeholder Perspectives, Indian Copyright Act

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average