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

See all articles by Patrick Russell Goold

Patrick Russell Goold

City University London, The City Law School

Date Written: November 20, 2020

Abstract

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.

Suggested Citation

Goold, Patrick Russell, Artificial Authors: Case Studies of Copyright in Works of Machine Learning (November 20, 2020). 67 Journal of the Copyright Society of the USA (2020), Available at SSRN: https://ssrn.com/abstract=3734574 or http://dx.doi.org/10.2139/ssrn.3734574

Patrick Russell Goold (Contact Author)

City University London, The City Law School ( email )

London, EC1V OHB
United Kingdom

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