AI AND COPYRIGHT - WHO OWNS AI GENERATED CONTENT?

Dan Valeriu Voinea
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Dan Valeriu Voinea: University of Craiova, Romania

Social Sciences and Education Research Review, 2023, vol. 10, issue 1, 262-267

Abstract: The rapid development of artificial intelligence (Al) capable of generating creative works challenges traditional intellectual property frameworks, particularly copyright law's reliance on human authorship. This paper synthesizes current legal, ethical, and economic perspectives on the ownership of Al-generated content. Legally, most jurisdictions maintain the requirement of human authorship for copyright protection, leaving purely Al-generated works largely unprotected, though variations exist (e.g., the UK's computer-generated works provision, China's pragmatic approach to human-guided Al). The European Union, guided by the principle of "author's own intellectual creation," similarly requires human input for copyright eligibility. Ethically, debates center on the nature of creativity, fairness to human creators facing displacement, attribution, bias, and accountability for Al outputs, with specific concerns arising within professions like journalism regarding accuracy and trust. Economically, Al offers productivity gains and democratization but also risks job displacement, market saturation, and value concentration. Analysis reveals a persistent legal and ethical emphasis on the human element, while economic models adapt to Al integration. Significant gaps remain regarding international consensus, creator compensation for training data, and defining the threshold for human authorship in Al-assisted works. The paper concludes that while Al transforms creative industries, current frameworks prioritize human agency, incentivizing Al as a tool rather than an autonomous creator, though ongoing evaluation is crucial.

Keywords: Artificial Intelligence; Copyright; Al-Generated Content; Authorship; Intellectual Property; Ethics; Creative Economy; Human Creativity; European Union Law; Journalism; Media Ethics (search for similar items in EconPapers)
JEL-codes: K11 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:edt:jsserr:v:10:y:2023:i:1:p:262-267

DOI: 10.5281/zenodo.15252004

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