From Human Authorship to Machine Creation: Reassessing Copyright and Liability in the Age of Generative AI

Author(s)	Kunsang Wangmo
Country	India
Abstract	The rapid expansion of generative artificial intelligence has transformed digital creativity, enabling machines to autonomously produce text, images, audio, and video at a scale previously unattainable. This development has intensified global legal debates surrounding authorship, ownership, originality, and the lawful use of training data. Traditional copyright frameworks, built on the assumption of human creativity, struggle to accommodate content generated by complex machine-learning models. This paper examines key legal challenges arising from generative AI, including the human authorship requirement, the status of training data under fair use and data protection laws, the risks of derivative similarity, and the growing concerns around liability, deepfakes, and platform responsibility. It also analyzes regulatory divergence across jurisdictions such as the United States, European Union, China, and India. By synthesizing emerging scholarship and legal developments, the study highlights the need for modernized copyright approaches, transparency obligations, and hybrid regulatory reforms to address the evolving landscape of machine-generated content.
Keywords	Copyright, Generative AI
Field	Sociology > Administration / Law / Management
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-15
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.62046

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International Journal For Multidisciplinary Research