Who Owns the Knowledge? Copyright, GenAI, and the Future of Academic Publishing
- Auteur : Kochetkov, Dmitry
- Description : The integration of generative artificial intelligence (GenAI) and large language models (LLMs) into scientific research and higher education presents a paradigm shift, offering revolutionizing opportunities while simultaneously raising profound ethical, legal, and regulatory questions. This study examines the complex intersection of AI and science, with a specific focus on the challenges posed to copyright law and the principles of open science. The author argues that current regulatory frameworks in key jurisdictions like the United States, China, the European Union, and the United Kingdom, while aiming to foster innovation, contain significant gaps, particularly concerning the use of copyrighted works and open science outputs for AI training. Widely adopted licensing mechanisms, such as Creative Commons, fail to adequately address the nuances of AI training, and the pervasive lack of attribution within AI systems fundamentally challenges established notions of originality. This paper issues a call to action, contending that AI training should not be shielded under fair use exceptions. Instead, the author advocates for upholding authors' rights to refuse the use of their works for AI training and proposes that universities assume a leading role in shaping responsible AI governance. Th conclusion is that a harmonized international legislative effort is urgently needed to ensure transparency, protect intellectual property, and prevent the emergence of an oligopolistic market structure that could prioritize commercial profit over scientific integrity and equitable knowledge production. This is a substantially expanded and revised version of a work originally presented at the 20th International Conference on Scientometrics & Informetrics (Kochetkov, 2025).
- Collection : Articles
- Thèmes : Monde de l'Information , Science de l'information , Collections , Ressources numériques
- Licence de diffusion : Licence Creative Commons
- Format : Fichier Adobe PDF
- Date de création : 24 novembre 2025
- Étendue : 21 p.
- Étendue : 474,8 Ko
- Date de publication : 24 novembre 2025
- Langue : en
- Éditeur ou organisme : Centre for Science and Technology Studies (CWTS), Leiden University
- Sujet(s) : Copyright , intelligence artificielle générative , propriété intellectuelle , science ouverte
- Type de ressource : text