AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks
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Abstract (arXiv)
Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 9 of its 119 references that are in the map. First posted on arXiv 10 Jan 2024.
Builds on
9 of 119 references.
References · 9
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Built on by
Citing papers per year: 2024: 1; 2025: 7; 2026: 4.
12 papers.
- 2025AI Safety Should Prioritize the Future of Workcited by 11
- 2025From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphorscited by 9
- 2025Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Modelscited by 6
- 2024Synthetic Lyrics Detection Across Languages and Genrescited by 4
- 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistscited by 3
- 2025Generative AI Training and Copyright Lawcited by 3
- 2026"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creatorscited by 3
- 2025What Does 'Human-Centred AI' Mean?cited by 2
- 2026What if AI systems weren't chatbots?cited by 2
- 2025Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Artcited by 0
- 2026Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problemcited by 0
- 2026If These Walls Could Talk: Critical Play with Large Language Models in Museumscited by 0
- 2026If These Walls Could Talk: Critical Play with Large Language Models in Museums14 Jun 2026
- 2026What if AI systems weren't chatbots?8 May 2026
- 2026Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem22 Apr 2026
- 2026"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators28 Jan 2026
- 2025What Does 'Human-Centred AI' Mean?26 Jul 2025
- 2025Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art20 May 2025
- 2025AI Safety Should Prioritize the Future of Work16 Apr 2025
- 2025Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models12 Mar 2025
- 2025Generative AI Training and Copyright Law21 Feb 2025
- 2025From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors29 Jan 2025
- 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists21 Jan 2025
- 2024Synthetic Lyrics Detection Across Languages and Genres21 Jun 2024
Similar, not cited
Close in wording, no citation either way
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- 2025The Impact of Artificial Intelligence on Traditional Art Forms: A Disruption or Enhancement
- 2024Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
- 2026The Aura in the Machine: Genealogy and the Status of the Work of Art in the Generative Era
- 2024At the edge of a generative cultural precipice
- 2023Measuring the Success of Diffusion Models at Imitating Human Artists
- 2026Who Chooses the Artwork? Curatorial Agency and Distributed Intent in Botto ↗
- 2024No Longer Trending on Artstation: Prompt Analysis of Generative AI Art