Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership

With the emergence of disputes over the copyright of AI-generated content (AIGC), academia has extensively discussed relevant issues, including copyright protectability and ownership. However, the copyright law community has not reached an international consensus. Adopting a doctrinal methodology,...

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Main Author: Yiheng Lu
Format: Article
Language:English
Published: openjournals.nl 2025-05-01
Series:Technology and Regulation
Subjects:
Online Access:https://techreg.org/article/view/23039
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author Yiheng Lu
author_facet Yiheng Lu
author_sort Yiheng Lu
collection DOAJ
description With the emergence of disputes over the copyright of AI-generated content (AIGC), academia has extensively discussed relevant issues, including copyright protectability and ownership. However, the copyright law community has not reached an international consensus. Adopting a doctrinal methodology, this paper investigates these issues and proposes reforms, arguing that copyright law should clarify the de facto authorship of AI and determine the originality of AIGC based on minimum creativity at the expression level. It also recommends attributing copyright of AIGC to the AI owner via statutory provision, allowing contractual allocation between parties. The proposed framework would resolve significant academic controversies on fundamental issues surrounding AIGC copyright and provide a reference model for future research.
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spelling doaj-art-69c5eda961004154bc7c0c439a8dc5d32025-08-20T02:34:24Zengopenjournals.nlTechnology and Regulation2666-139X2025-05-01202510.71265/chkr8w30Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and OwnershipYiheng Lu0https://orcid.org/0009-0009-9349-2625Queen Mary University of London With the emergence of disputes over the copyright of AI-generated content (AIGC), academia has extensively discussed relevant issues, including copyright protectability and ownership. However, the copyright law community has not reached an international consensus. Adopting a doctrinal methodology, this paper investigates these issues and proposes reforms, arguing that copyright law should clarify the de facto authorship of AI and determine the originality of AIGC based on minimum creativity at the expression level. It also recommends attributing copyright of AIGC to the AI owner via statutory provision, allowing contractual allocation between parties. The proposed framework would resolve significant academic controversies on fundamental issues surrounding AIGC copyright and provide a reference model for future research. https://techreg.org/article/view/23039AI-Generated ContentCopyright LawAuthorshipOriginalityAI OwnershipLegal Framework
spellingShingle Yiheng Lu
Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership
Technology and Regulation
AI-Generated Content
Copyright Law
Authorship
Originality
AI Ownership
Legal Framework
title Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership
title_full Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership
title_fullStr Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership
title_full_unstemmed Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership
title_short Reforming Copyright Law for AI-Generated Content: Copyright Protection, Authorship and Ownership
title_sort reforming copyright law for ai generated content copyright protection authorship and ownership
topic AI-Generated Content
Copyright Law
Authorship
Originality
AI Ownership
Legal Framework
url https://techreg.org/article/view/23039
work_keys_str_mv AT yihenglu reformingcopyrightlawforaigeneratedcontentcopyrightprotectionauthorshipandownership