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The Copyright Issue In AI-Generated Content: Legal Challenges And Future Directions


Anshul Kumaria, MIT World Peace University


ABSTRACT:


AI-generated content exists in a legal grey area, challenging and upending established norms. This paper explores the implications of AI-generated works on copyright law, examining existing frameworks, key challenges, and potential reforms to accommodate this technological evolution. The paper advocates for an adaptable legal framework that fosters innovation while safeguarding the principles of intellectual property.


Introduction:


As the days progress, AI or Artificial Intelligence becomes more and more mainstream. From lifestyle choices to therapists, it is slowly integrating itself into our lives. The entertainment industry was also not spared. The Writers’ Strike of 2023 brought up this issue as well, as studios and corporations were willing to enlist AI tools to write their movies and TV shows, robbing people of their livelihood.


The advent of AI has revolutionized various industries, with its applications ranging from predictive analytics to autonomous content creation. Generative AI models, such as OpenAI's GPT and DALL·E, have the capacity to produce text, images, music, and other creative outputs that rival human work. This technological advancement, however, has uncovered a critical gap in copyright law, which has long been predicated on human creativity.


This paper addresses these gaps by:


  1. Examining current copyright laws and their applicability to AI-generated works.

  2. Analyzing challenges surrounding authorship, originality, and infringement.

  3. Proposing potential reforms for an inclusive and forward-looking legal framework.



Comentários


Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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​All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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