Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28640
Title: Copyright Protection for AI-Generated Works: Solutions to Further Challenges from Generative AI
Authors: Wang, FF
Keywords: artificial intelligence;generative AI;AI-generated works;collective copyright management;computer-generated work;copyright protection
Issue Date: 27-Oct-2023
Publisher: School of Advanced Study, University of London
Citation: Wang, F.F. (2023) 'Copyright Protection for AI-Generated Works: Solutions to Further Challenges from Generative AI', Amicus Curiae, series 2, 5 (1), pp. 88 - 103. Available at: https://journals.sas.ac.uk/amicus/article/view/5663 (Accessed: 20 March 2024).
Abstract: Since the 2010s, artificial intelligence (AI) has quickly grown from another subset of machine learning (ie deep learning) in particular with recent advances in generative AI, such as ChatGPT. The use of generative AI has gone beyond leisure purposes. It has now been widely used to generate music, news articles and image-based art works. This prompts a regulatory interpretation as to how AI-generated works should be appropriately used to eliminate their potential harm to society, but at the same time how it should be protected to foster human creativity and promote a well-functioning market. This article is an update from the author’s evidential report and speech on “AI and Intellectual Property Rights: IPR Protection for AI-Created Work” for the evidence meeting of the All-Party Parliamentary Group on Artificial Intelligence on 24 January 2022. It considers whether AI technologies should be granted status as copyright or patent owners by looking into existing regulations in the United Kingdom, European Union, United States and China. It further considers how generative AI copyright protection should be managed in the digital society to protect users and strike a fair balance among rightsholders. It argues that it would be beneficial to a well-functioning market if AI-generated works could be subject to collective management of copyright via copyright management organizations within countries. In addition, the article provides mapping of existing legislations in a comparative study and their interpretation for the application of AI-generated works protection and aims to bring together global policymakers and stakeholders to initiate joint efforts to promote international harmonization on intellectual property rights (IPR) protection for AI-generated works.
URI: https://bura.brunel.ac.uk/handle/2438/28640
ISSN: 1461-2097
Other Identifiers: ORCiD: Faye Fangfei Wang https://orcid.org/0000-0002-1868-3669
Appears in Collections:Brunel Law School Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2023 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). See: https://journals.sas.ac.uk/amicus/about.4.37 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons