The human authorship requirement is the long-standing rule in US copyright law that protection extends only to works originated by a human being. Its roots reach back over a century, including a famous case denying copyright to a photograph taken by a monkey, and it has been the decisive principle in disputes over AI-generated content. Because copyright is meant to reward and incentivize human creativity, the US Copyright Office and the courts have held that material produced entirely by a machine, without sufficient human creative control, falls outside the scope of protection and enters a kind of legal limbo where no one owns it.
Applying this principle to generative AI, the Copyright Office concluded in Part 2 of its AI report that purely AI-generated output is not copyrightable, and that simply typing a prompt does not make the user the author - because the system, not the human, determines the expressive details of the result. The line is drawn at meaningful human control over expression. A work that incorporates AI-generated material can still earn copyright protection for the parts where a human contributed original authorship: creatively selecting, arranging, coordinating, or modifying the AI output, or feeding in the human’s own copyrightable work. In those cases, copyright covers the human contribution, not the machine-generated raw material. The Office demonstrated this in practice when it cancelled copyright for the AI-generated images in the comic “Zarya of the Dawn” while leaving the human-written text and arrangement protected.
The same human-only logic governs patents, where Thaler v. Vidal held that an AI cannot be a named inventor.
Why business readers should care: organizations that lean heavily on generative AI to produce content may find they cannot copyright the result, leaving it free for competitors to copy. Securing enforceable rights requires - and requires documenting - genuine human creative input.