D.C. Circuit Rules AI Cannot Be Listed as Author on Copyrights, Upholding Human Authorship Requirement

A common misconception about the generative AI boom is that whoever prompts a machine to create an image or writes the code for the model automatically owns the resulting output. The reality of U.S. intellectual property law is far more restrictive. In a definitive ruling that shapes the commercial future of artificial intelligence, the U.S. Court of Appeals for the District of Columbia Circuit has affirmed that a non-human machine cannot be recognized as the author of a copyrighted work.[1][4]

The unanimous decision in Thaler v. Perlmutter establishes a clear legal boundary: human authorship is a bedrock requirement for copyright protection. The case centered on Dr. Stephen Thaler, a computer scientist who developed an artificial intelligence system he named the "Creativity Machine." When the software autonomously generated a two-dimensional artwork titled "A Recent Entrance to Paradise," Thaler attempted to register the copyright, explicitly listing the machine as the sole author and himself as the owner of the copyright by virtue of owning the machine.[1][2][4]

The U.S. Copyright Office rejected the application, citing a longstanding policy that works must be created by a human being to qualify for protection. Thaler challenged the agency in federal court, arguing that the human-authorship requirement was an outdated interpretation of the Copyright Act of 1976 and that denying protection to AI-generated works would stifle technological progress. After a district court sided with the Copyright Office, the D.C. Circuit took up the appeal, delivering a comprehensive statutory analysis that dismantled Thaler's claims.[1][2][4]

Writing for the appellate panel, Circuit Judge Patricia A. Millett anchored the court's reasoning in the text and structure of the Copyright Act. While the statute does not explicitly define the word "author," the court observed that multiple provisions within the law only make sense if the author is a human being. The Act's ownership provisions are premised on an author's legal capacity to hold property, a right machines fundamentally do not possess.[1][6]

Furthermore, the court noted that the duration of a copyright is often measured by the author's lifespan, a metric inapplicable to software. The statute also references surviving spouses, heirs, and the ability to provide authenticating signatures—attributes exclusive to natural persons. "Machines do not have property, traditional human lifespans, family members, domiciles, nationalities, mentes reae, or signatures," Millett wrote, concluding that reading the Act to require human authorship perfectly comports with its design.[1][6]

Thaler also attempted to claim ownership through the "work-made-for-hire" doctrine, arguing that as the creator and owner of the Creativity Machine, he essentially employed the AI, making its output his property. The D.C. Circuit rejected this mechanism entirely. The court clarified that the work-made-for-hire doctrine governs the transfer of an existing copyright interest from an employee to an employer. Because the AI-generated image never qualified for copyright protection in the first instance due to its lack of a human author, there was no property right to transfer.[2][6]

The ruling separates the act of creating a tool from the act of creating a specific expressive work. Developing a sophisticated generative AI model requires immense human ingenuity, and the software itself can be protected by copyright or patent law. However, the autonomous output of that software, when generated without direct human creative control over the final expression, falls immediately into the public domain.[5][7]

This distinction is crucial for the rapidly expanding AI industry. Companies integrating generative models into their workflows—whether for marketing copy, graphic design, or software code—cannot claim exclusive ownership over the raw outputs of those systems. To secure copyright protection, businesses must demonstrate that a human exercised ultimate creative control, either by heavily modifying the AI's output or by using the AI merely as an assistive tool rather than a substitute for human creativity.[5][7]

The D.C. Circuit was careful to narrow its holding to the specific facts presented by Thaler, who explicitly conceded that the artwork was generated autonomously and lacked traditional human authorship. The court did not rule on the more complex question of how much human prompting, curation, or post-generation editing is required to transform an AI-assisted creation into a protectable human work. That boundary remains the frontier of modern copyright litigation.[1][4][5]

Thaler's legal campaign to secure intellectual property rights for machines has consistently met resistance across different domains of law. Prior to his copyright battle, he attempted to list an AI system named "DABUS" as the sole inventor on patent applications. The U.S. Court of Appeals for the Federal Circuit similarly rejected that effort, ruling that the Patent Act limits inventorship to natural persons.[4][7]

The legal consensus solidified further when the U.S. Supreme Court declined to hear Thaler's appeal of the D.C. Circuit's copyright ruling. By denying certiorari without comment, the high court left the appellate decision intact, effectively cementing the human-authorship requirement as the governing standard for U.S. copyright practice.[3][5]

The outcome reflects a structural reality of the U.S. intellectual property system: it is designed to incentivize human creativity. The constitutional purpose of copyright is to "promote the Progress of Science and useful Arts" by rewarding authors with a temporary monopoly on their works. Courts have consistently reasoned that machines, which operate based on programming and algorithms, do not require the financial incentives of copyright to generate output.[3][7]

While the ruling provides immediate clarity for the Copyright Office, it leaves creative industries to navigate a gray area. As AI tools become deeply embedded in the creative process, the line between an "assistive tool" and an "autonomous generator" will blur. Until Congress amends the Copyright Act or the Supreme Court takes up a case involving mixed human-AI authorship, the D.C. Circuit's decision stands as the definitive framework: the law protects the human mind, not the machine.[5][7]