Artificial Authors: Case Studies of Copyright in Works of Machine Learning
67 Journal of the Copyright Society of the USA (2020)
67 Pages Posted: 6 Mar 2021
Date Written: November 20, 2020
The Article investigates whether creative works produced via machine learning algorithms qualify for copyright protection. Previous research into this question has been largely theoretical. By contrast, the Article introduces four empirical case studies of works produced via machine learning. The Article examines the copyrightability of such works under U.S., E.U., and U.K., law. The Article concludes that such works are sufficiently original to qualify for copyright protection. This conclusion casts into doubt prior literature that finds works of machine learning algorithms to be outside the scope of copyright protection.
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