Artificial intelligence is reshaping how documentaries are made, generating archival imagery, reenactments, and visual effects that once required significant resources. But as AI tools become standard in production, they raise serious copyright concerns that filmmakers can’t afford to overlook.

Most AI platforms are trained on vast datasets that include copyrighted photographs, film stills, and artwork. When those inputs too closely resemble the final output, filmmakers risk claims of copyright infringement. Courts have found works to be “substantially similar,” and thus to constitute infringement, where they have a similar “overall look and feel” or where “the ordinary reasonable person would fail to differentiate between the two works.” The vagueness in these standards can expose users to liability, particularly where the user lacks knowledge of the inputs and is relying on the AI platform to generate a new work.

The opposite problem is equally significant: works produced by AI may not be copyrightable. The U.S. Copyright Office has stated that authorship requires human creativity. Images, sequences, or composites created solely by a machine cannot be registered, leaving them unprotected from reuse. Without meaningful human input, filmmakers have no enforceable rights over their AI-generated visuals. Thus, despite the complexity and originality of AI-generated imagery, their creators have no legal recourse against infringement.

Both risks can be managed through careful control and documentation. Using only licensed or public-domain materials as AI “inputs” helps avoid infringement, while integrating human creativity, through editing, compositing, and controlling AI prompts, helps establish ownership. Production teams should also review vendor contracts and AI platform terms, many of which disclaim liability for infringement.

AI can be a powerful creative partner, but it cannot replace the human hand that defines authorship and accountability. For documentary filmmakers, the safest approach is to keep human judgment at the center of the process, using AI to assist, not to author.