Copyright Protection Frameworks For Outputs Created Entirely Or Partially By Artificial Intelligence, Especially Generative Models
- IJLLR Journal
- 5 days ago
- 1 min read
Abhay Sinha, LLM, Alliance School of Law, Alliance University, Bangalore
ABSTRACT
Artificial intelligence, particularly generative models, is reshaping the creation of artistic, literary, and technological works, raising complex questions within copyright law. Traditional copyright frameworks are premised on human authorship, intentional creativity, and originality, which creates tension when applied to works generated autonomously or semi- autonomously by machines. This paper examines the evolving global debate regarding whether AI-generated outputs merit protection, and if so, who should be recognized as the rights holder the AI’s developer, the user providing inputs, or neither. By analyzing legal doctrines across different jurisdictions, including the Japan, the Indonesia, and emerging perspectives in Asia, this study highlights the uncertainty surrounding authorship standards, originality assessments, and ownership allocation in the era of intelligent systems. The paper further considers hybrid works co-created by humans and AI, where the threshold of human contribution becomes a critical determinant of eligibility for protection. Ultimately, the research argues for a nuanced rethinking of copyright frameworks that balances the incentive to innovate with the need to safeguard human creativity, ensuring that the law remains responsive to technological disruption without undermining its foundational principles.
