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Authorship, Ownership and Liability in AI-Generated Works: A Critical Analysis of Human Authorship and Training Data Regimes in Generative AI

AHMAD, RIZWAN AHMAD

The advanced growth of generative artificial intelligence has fundamentally challenged traditional dogmas of intellectual property (IP) law, especially the concepts of authorship, ownership and liability. The legal issues raised by AI-generated works that are critically analyzed in this paper are the changing definitio

International Journal of Contemporary Legal Research 16 Jun 2026 Read abstract →