{"title":"Authorship in Human-AI collaborative creation: A creative control theory perspective","authors":"Wei Liu , Weijie Huang","doi":"10.1016/j.clsr.2025.106139","DOIUrl":null,"url":null,"abstract":"<div><div>The emergence of human-AI collaborative creation (HAIC) models has provided a good opportunity to uncover the principles of authorship identification. To clarify whether humans exert control over AI-generated content (AIGC) and whether such control is sufficient to confer authorship, we propose the theory of creative control from a law and aesthetics perspective. According to this theory, a human can claim authorship when they are guided by artistic imagery thinking and manifest individual creativity throughout the entire creation process from conception to execution. In the HAIC model, the unpredictable nature of the AI black box does not impede the recognition of users’ control, as users possess the capability for artistic imagery thinking to direct the entire creation process. If their contribution meets the originality standard, they qualify as the author of the AIGC. Current prevailing views that evaluate AIGC’s originality on the basis of either the final form of expression or the users’ prompts in the initial stage overlook the dynamic nature of the creative process.</div></div>","PeriodicalId":51516,"journal":{"name":"Computer Law & Security Review","volume":"57 ","pages":"Article 106139"},"PeriodicalIF":3.3000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Law & Security Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212473X25000124","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 0
Abstract
The emergence of human-AI collaborative creation (HAIC) models has provided a good opportunity to uncover the principles of authorship identification. To clarify whether humans exert control over AI-generated content (AIGC) and whether such control is sufficient to confer authorship, we propose the theory of creative control from a law and aesthetics perspective. According to this theory, a human can claim authorship when they are guided by artistic imagery thinking and manifest individual creativity throughout the entire creation process from conception to execution. In the HAIC model, the unpredictable nature of the AI black box does not impede the recognition of users’ control, as users possess the capability for artistic imagery thinking to direct the entire creation process. If their contribution meets the originality standard, they qualify as the author of the AIGC. Current prevailing views that evaluate AIGC’s originality on the basis of either the final form of expression or the users’ prompts in the initial stage overlook the dynamic nature of the creative process.
期刊介绍:
CLSR publishes refereed academic and practitioner papers on topics such as Web 2.0, IT security, Identity management, ID cards, RFID, interference with privacy, Internet law, telecoms regulation, online broadcasting, intellectual property, software law, e-commerce, outsourcing, data protection, EU policy, freedom of information, computer security and many other topics. In addition it provides a regular update on European Union developments, national news from more than 20 jurisdictions in both Europe and the Pacific Rim. It is looking for papers within the subject area that display good quality legal analysis and new lines of legal thought or policy development that go beyond mere description of the subject area, however accurate that may be.