A Comparative Study on the Originality of AI-Generated Artworks: What Can Copyright Laws Learn from Refik Anadol?

Originality is a fundamental requirement for works to receive copyright protection. However, as the term lacks a universally accepted definition, interpretations of originality vary across jurisdictions. This article first examines key theories underpinning copyright law to justify the necessity of an originality threshold. It then analyses how the United States, the United Kingdom, India, China, and the European Union define and apply this criterion. In the final section, the article argues that, these jurisdictions, when applying their well-established principles and case law consistently, can accommodate findings of originality in AI-generated artworks. The article critiques the misconception shared by some jurisdictions that equate the originality criterion with the human authorship requirement to deny copyright protection to AI-generated works. Such an approach, the article contends, leads to arbitrary and unjustifiable decisions. Furthermore, the article argues that acknowledging originality in AI-generated artistic works does not diminish human creativity, as human input remains essential in working with AI tools, as exemplified by Refik Anadol's pioneering works.

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Publication Details

Journal
National Law School of India Review
Published
2025-01-01
DOI
https://doi.org/10.55496/whbv5761
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comparative Study on the Originality of AI-Generated Artworks: What Can Copyright Laws Learn from Refik Anadol?

Söğüt Atilla
National Law School of India Review
Law, AI, and Intellectual Property
article

A Comparative Study on the Originality of AI-Generated Artworks: What Can Copyright Laws Learn from Refik Anadol?

Söğüt Atilla
article en

Abstract

Originality is a fundamental requirement for works to receive copyright protection. However, as the term lacks a universally accepted definition, interpretations of originality vary across jurisdictions. This article first examines key theories underpinning copyright law to justify the necessity of an originality threshold. It then analyses how the United States, the United Kingdom, India, China, and the European Union define and apply this criterion. In the final section, the article argues that, these jurisdictions, when applying their well-established principles and case law consistently, can accommodate findings of originality in AI-generated artworks. The article critiques the misconception shared by some jurisdictions that equate the originality criterion with the human authorship requirement to deny copyright protection to AI-generated works. Such an approach, the article contends, leads to arbitrary and unjustifiable decisions. Furthermore, the article argues that acknowledging originality in AI-generated artistic works does not diminish human creativity, as human input remains essential in working with AI tools, as exemplified by Refik Anadol's pioneering works.

National Law School of India ReviewVol. 36(1)
Openalex Percentile: Top 87%
Law, AI, and Intellectual Property
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