AI Training and Copyright: Should Intellectual Property Law Allow Machines to Learn?

pdf (English)
Veröffentlicht: Oct 1, 2024
DOI: https://doi.org/10.12681/bioeth.39041
Pedro Martins Fernandes
University of Lisbon, Lisbon, Portugal and Intern, National Commission for Bioethics & Technoethics, Greece.
Abstract

This article examines the intricate legal landscape surrounding the use of copyrighted materials in the development of artificial intelligence (AI). It explores the rise of AI and its reliance on data, emphasizing the importance of data availability for machine learning (ML) systems. The article analyzes current relevant legislation across the European Union, United States, and Japan, highlighting the legal ambiguities and constraints posed by IP rights, particularly copyright. It discusses possible new solutions, referencing the World Intellectual Property Organization's (WIPO) call for discussions on AI and IP policy. The conclusion stresses the need to balance the interests of AI developers and IP rights holders to promote technological advancement while safeguarding creativity and originality.

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