
AI Liability under Copyright and Patent Law: A Comprehensive Analysis under Intellectual Property Law Dr. Rajeev Kumar Singh Assistant Professor of Law (Sr. Grade), Amity Law School Lucknow, Amity University Uttar Pradesh Lucknow Campus, Lucknow Anchita Srivastava LLB, Amity Law School Lucknow, Amity University Uttar Pradesh Lucknow Campus, Lucknow Abstract Technology and talent are the two sides of research and development. The rapid pace of artificial intelligence (AI) evolution is transforming the basis of intellectual property (IP) rights law, especially under copyright and patenting. With AI systems increasingly producing creative works and technical inventions with minimal human involvement, traditional IP law constructs of authorship, inventorship, ownership, and responsibility are facing intense scrutiny. Traditional IP frameworks, largely dependent on human involvement, are ill-equipped to handle the complexities and challenges posed by AI-generated works. This paper employs a doctrinal and comparative approach to analyze the attribution of responsibility in AI-related copyright and patent disputes in India, the United States, the United Kingdom, and the European Union. The paper reveals inconsistencies, ambiguities, and policy gaps in existing frameworks. It critiques and compares various liability frameworks developer-centric, user-centric, and hybrid models and their implications for innovation, responsibility, and regulatory coherence. This paper contends that technology-neutral and responsive IP law reforms are necessary to strike a balance between innovation and IP law certainty in the AI-IP interface. Keywords: Artificial Intelligence; Copyright Law; Patent Law; Intellectual Property Rights; AI Liability
Artificial Intelligence, Copyright
Artificial Intelligence, Copyright
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
