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  <title>NOPR Collection:</title>
  <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/65202" />
  <subtitle />
  <id>http://nopr.niscpr.res.in/handle/123456789/65202</id>
  <updated>2026-10-09T20:48:52Z</updated>
  <dc:date>2026-10-09T20:48:52Z</dc:date>
  <entry>
    <title>Evolution of Artificial Intelligence- Rights and Liability through the Prism of Patent Laws</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/65213" />
    <author>
      <name>Thiruveni, N K</name>
    </author>
    <author>
      <name>Brinda, P</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/65213</id>
    <updated>2025-01-16T09:14:11Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">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&#xD;
information but comprehend and make decisions on their own. One of the man-mademachines in the field of computer&#xD;
science is Artificial Intelligence (AI). AI constitutes both cognitive and emotional intelligence. The jurisprudence of such an&#xD;
invention raises a core question of whetherArtificial Intelligence can be attributed to the status of personhood. It is an&#xD;
unsettled position of law, whether AI can be given an inventorship. There are two parallel views in recognising AI as an&#xD;
inventor. One view is that it is an automated man-made machine, and another view is that it can be considered as an inventor&#xD;
when the invention is novel without human intervention.This paper illustrates the legal basis on which the scope of&#xD;
grantinginventorship to an AI in the current patent regime and its pitfalls.This has been elaborated using legal precedents&#xD;
and the practical inferences drawn from them. This article gives an overview of the development of AI and points out the&#xD;
boxes that must be ticked by policymaking in India.
Page(s): 5-11</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Autonomy of AI in Patents: Reconciling Commercial Incentive with Traditional Inventorship</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/65212" />
    <author>
      <name>Banerjee, Arunabha</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/65212</id>
    <updated>2025-01-16T09:11:21Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">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)&#xD;
programme which functions independent of its human creator and generates patentable products or processes. Traditional&#xD;
rules of inventorship pre-suppose that an inventor must be a natural person capable of exercising rights and being bound by&#xD;
duties and liabilities in relation to the patented invention. Thus, AI becomes automatically disqualified and cannot be named&#xD;
as an inventor in a patent application for this small technicality. Recently, patent applications filed by Dr. Stephen Thaler for&#xD;
inventions by his AI DABUS, have been rejected due to this hurdle. The article highlights the need for clarity in the area of&#xD;
patent inventorship for AI. Even when objections are raised based on traditional patent law principles, one must not forget&#xD;
that historically, commercial incentive has been the core objective of every patent legal system. Thus, encouraging&#xD;
applicants to step forward with new and useful innovations has always remained at the forefront of patent laws worldwide.&#xD;
The article elaborates on this conflict and suggests a suitable solution that appears satisfactory to all stakeholders.
Page(s): 12-25</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Artificial Intelligence and Intellectual Property Rights — A Copyright Perspective</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/65211" />
    <author>
      <name>Sanjaya, Karun</name>
    </author>
    <author>
      <name>Rajavenkatesan, P R L</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/65211</id>
    <updated>2025-01-16T09:09:22Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">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&#xD;
one of the major challenges of the 21st century as AI systems are being increasingly utilized to generate creative works. This&#xD;
article addresses these questions through the lens of copyrightability of works created by AIs as it relates to originality,&#xD;
authorship, and ownership. The paper addresses recent debates about whether current copyright frameworks could be adapted to&#xD;
accommodate AI-generated content and outlines practices around the world. It also explores the crucial role of human&#xD;
intervention in AI output, arguing whether such collaborations deserve co-authorship credit. The paper ends with suggestions to&#xD;
amend the laws which apply in these circumstances, or to create a new legal framework to resolve these issues.
Page(s): 26-34</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>AI-Generated Work and its Implications on Copyright Law in India</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/65210" />
    <author>
      <name>Mishra, Nikhil</name>
    </author>
    <author>
      <name>Singh, Digvijay</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/65210</id>
    <updated>2025-01-16T09:06:47Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">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&#xD;
intervention at all. Generative AI is one of the branches of AI which is known for generating content at par with human&#xD;
intelligence. Generative AI tools like ChatGPT, Google’s Bard and DeepAI are being used in today’s world by students,&#xD;
academicians, employees, employers, news channels and others to create textual, pictorial or video-graphical content.&#xD;
All such generated content suffers from one common issue, that is, their copyright. Most of the users are unaware of&#xD;
copyright in the work generated by them using the generative AI tools. They do not know whether the copyright exists in&#xD;
AI-generated work and who is the owner or author of such copyrighted work.&#xD;
The article analyses the subsistence of copyright in AI-generated work and the conditions and criteria of such copyright,&#xD;
if any. It traces the content creation process of generative AI tools and the contractual aspects pertaining to it. Further, the&#xD;
article examines the issues of copyrightability of AI-generated work in various countries and compares it with the legal&#xD;
standing in India. Lastly, the impact of AI-generated work on the Indian copyright regime has been analysed and&#xD;
accordingly, suggestions have been made which may be implemented to address the plethora of challenges arising out of or&#xD;
in relation to AI-generated work.
Page(s): 35-44</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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