In recent years, generative AI tools like Midjourney and Stable Diffusion have made it possible for non-artists to produce images quickly by giving text prompts to those image generators. These tools are often trained on vast datasets of pre-existing artwork scraped from the internet, including copyrighted works, without the consent of the original artists. As a result, many people are now selling AI images as their own creation, passing off machine-aided output as their original artistic work.
Selling AI art as your original work is unethical and harmful because it erases the whole point of making art, and it violates copyright laws.
First of all, selling AI art as your own devalues human labor and creativity. When AI art is marketed as a pure personal creation, it undermines the value of genuine human effort, training, and creativity. Artists who spent years developing their unique techniques and styles end up seeing their work diluted by a flood of cheap, mass-produced visuals. The AI system can replicate or approximate styles at machine speed, saturating the market and driving down compensation and demand for human work. According to an article in The New Yorker, the AI generators are being sued by visual artists who argue that the models create “infringing, derivative works” by blending and remixing copyrighted inputs without permission. Another researcher argues that AI tools are not democratizing art but rather privatizing and automating it—moving creative power into the hands of a few algorithmic gatekeepers and marginalizing skilled human creators.
Another reason is that it raises serious copyright and attribution violations. Many AI models are trained on copyrighted images without proper licenses or attribution, meaning the output may involve derivative use of others’ work. Courts and copyright scholars are already debating whether AI-generated images qualify for protection and who would legally own them. In the lawsuit Andersen v. Stability AI, Midjourney, and DeviantArt, artists challenged generative art platforms for including their copyrighted work in training sets without consent or credit. Moreover, the United States Copyright Office currently maintains that for a work to receive copyright registration, it must involve significant human authorship — i.e., “traditional elements of expression … conceived and executed by a human.” This means pure AI output often cannot be protected or credited, leaving the “artist” who sells it in murky legal territory.
Although selling AI art is bad, some defenders argue that AI is simply a new tool, just like the camera or graphic software, and that the users who guide prompts and make aesthetic choices should be allowed to claim authorship. They oppose by saying that AI is a collaborator, not a thief. While this is true in certain hybrid or collaborative use cases, it breaks down when the output is essentially faceless and automated. When the human “author” has made only a minimal contribution by merely typing a few words, the claim of original artistic ownership becomes weak. In those cases, passing off AI art as a completely human creation misleads buyers and disrespects the contributions of the numerous artists whose works fed the model. Some AI systems also erode transparency by obscuring how and from where they sourced their training data, rendering proper attribution or accountability impossible.
In summary, selling AI-generated art as though it were entirely the work of a single person is ethically bad: it diminishes human artistic labor, entangles copyright and attribution issues, and misleads the public. We should not permit a future in which machines crowd out human creativity under a cloak of false authorship. Instead, artists, platforms, galleries, and consumers must demand transparency: require disclosure of AI use, enforce attribution and licensing standards, and push for regulation that protects human creators.
If you are considering buying or selling AI art, ask yourself: “Did a human truly create this, and did the original artists whose work was used receive credit and compensation?”
Let’s raise standards, not lower them.
References
Centerforartlaw, and Centerforartlaw. “AI And Artists’ IP: Exploring Copyright Infringement Allegations in Andersen V. Stability AI Ltd. – Center for Art Law.” Center for Art Law – At the intersection of visual arts and the law, 15 June 2024, itsartlaw.org/art-law/artificial-intelligence-and-artists-intellectual-property-unpacking-copyright-infringement-allegations-in-andersen-v-stability-ai-ltd.
Chayka, Kyle. “Is A.I. Art Stealing From Artists?” The New Yorker, 10 Feb. 2023, www.newyorker.com/culture/infinite-scroll/is-ai-art-stealing-from-artists.
Conrad, Cross, and Cross Conrad. “The Future of AI Art Regulation | the Regulatory Review.” The Regulatory Review, 23 Apr. 2025, www.theregreview.org/2025/04/26/seminar-the-future-of-ai-art-regulation.
Puri, Aina. “Original or Stolen? The Battle Between AI Image Generators and Visual Artists — Columbia Undergraduate Law Review.” Columbia Undergraduate Law Review, 7 Sept. 2025, www.culawreview.org/journal/original-or-stolen-the-battle-between-ai-image-generators-and-visual-artists.
