http://nopr.niscpr.res.in/handle/123456789/65202 2026-10-09T17:34:42Z http://nopr.niscpr.res.in/handle/123456789/65213 Title: Evolution of Artificial Intelligence- Rights and Liability through the Prism of Patent Laws Authors: Thiruveni, N K; Brinda, P Abstract: Technological development has led to a path towards the invention of man-made machines which not onlyreceive information but comprehend and make decisions on their own. One of the man-mademachines in the field of computer science is Artificial Intelligence (AI). AI constitutes both cognitive and emotional intelligence. The jurisprudence of such an invention raises a core question of whetherArtificial Intelligence can be attributed to the status of personhood. It is an unsettled position of law, whether AI can be given an inventorship. There are two parallel views in recognising AI as an inventor. One view is that it is an automated man-made machine, and another view is that it can be considered as an inventor when the invention is novel without human intervention.This paper illustrates the legal basis on which the scope of grantinginventorship to an AI in the current patent regime and its pitfalls.This has been elaborated using legal precedents and the practical inferences drawn from them. This article gives an overview of the development of AI and points out the boxes that must be ticked by policymaking in India. Page(s): 5-11 2025-01-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/65212 Title: Autonomy of AI in Patents: Reconciling Commercial Incentive with Traditional Inventorship Authors: Banerjee, Arunabha Abstract: This paper examines the general commercial implications of denying inventorship to an artificial intelligence (AI) programme which functions independent of its human creator and generates patentable products or processes. Traditional rules of inventorship pre-suppose that an inventor must be a natural person capable of exercising rights and being bound by duties and liabilities in relation to the patented invention. Thus, AI becomes automatically disqualified and cannot be named as an inventor in a patent application for this small technicality. Recently, patent applications filed by Dr. Stephen Thaler for inventions by his AI DABUS, have been rejected due to this hurdle. The article highlights the need for clarity in the area of patent inventorship for AI. Even when objections are raised based on traditional patent law principles, one must not forget that historically, commercial incentive has been the core objective of every patent legal system. Thus, encouraging applicants to step forward with new and useful innovations has always remained at the forefront of patent laws worldwide. The article elaborates on this conflict and suggests a suitable solution that appears satisfactory to all stakeholders. Page(s): 12-25 2025-01-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/65211 Title: Artificial Intelligence and Intellectual Property Rights — A Copyright Perspective Authors: Sanjaya, Karun; Rajavenkatesan, P R L Abstract: The potentially disruptive interaction between Artificial Intelligence (AI) and creative Intellectual Property Rights (IPRs) is one of the major challenges of the 21st century as AI systems are being increasingly utilized to generate creative works. This article addresses these questions through the lens of copyrightability of works created by AIs as it relates to originality, authorship, and ownership. The paper addresses recent debates about whether current copyright frameworks could be adapted to accommodate AI-generated content and outlines practices around the world. It also explores the crucial role of human intervention in AI output, arguing whether such collaborations deserve co-authorship credit. The paper ends with suggestions to amend the laws which apply in these circumstances, or to create a new legal framework to resolve these issues. Page(s): 26-34 2025-01-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/65210 Title: AI-Generated Work and its Implications on Copyright Law in India Authors: Mishra, Nikhil; Singh, Digvijay Abstract: Artificial Intelligence (AI) is a technology which is known for carrying out various tasks efficiently with little or no human intervention at all. Generative AI is one of the branches of AI which is known for generating content at par with human intelligence. Generative AI tools like ChatGPT, Google’s Bard and DeepAI are being used in today’s world by students, academicians, employees, employers, news channels and others to create textual, pictorial or video-graphical content. All such generated content suffers from one common issue, that is, their copyright. Most of the users are unaware of copyright in the work generated by them using the generative AI tools. They do not know whether the copyright exists in AI-generated work and who is the owner or author of such copyrighted work. The article analyses the subsistence of copyright in AI-generated work and the conditions and criteria of such copyright, if any. It traces the content creation process of generative AI tools and the contractual aspects pertaining to it. Further, the article examines the issues of copyrightability of AI-generated work in various countries and compares it with the legal standing in India. Lastly, the impact of AI-generated work on the Indian copyright regime has been analysed and accordingly, suggestions have been made which may be implemented to address the plethora of challenges arising out of or in relation to AI-generated work. Page(s): 35-44 2025-01-01T00:00:00Z