Artificial intelligence has fundamentally challenged one of copyright law’s most basic assumptions: that creative works are authored by human beings. As AI systems generate images, music, text, and code with increasing sophistication, questions about copyright in AI-generated content have become urgent legal and business issues. The answer affects creators who use AI tools, companies that develop AI systems, and anyone who commissions or purchases AI-generated works. PerspireIP tracks rapidly evolving developments in copyright law as it applies to AI-generated content and helps clients position themselves for the emerging legal landscape.
The Human Authorship Requirement
US copyright law has long required that protectable works be the product of human authorship. The Copyright Office’s Compendium of US Copyright Office Practices explicitly states that the Office will not register works produced by a machine or mechanical process that operates randomly or automatically without any creative input or intervention from a human author. This principle has been tested and upheld in court. In Thaler v. Perlmutter, the D.C. District Court affirmed the Copyright Office’s refusal to register an image autonomously generated by an AI system called DABUS, holding that human authorship is an indispensable element of a valid copyright claim.
What the Copyright Office Says About AI
The US Copyright Office has issued guidance specifically addressing copyright in AI-generated content. In its February 2023 policy statement on AI-generated works and its March 2023 guidance on works containing AI-generated material, the Office clarified its approach. Works that are entirely generated by AI without human creative control cannot be registered. However, works that contain AI-generated elements combined with human authorship may be registrable, but only with respect to the human-authored portions. The Copyright Office also announced a major study of copyright and artificial intelligence to inform future policy, with interim reports covering training data, copyrightability, and licensing issues.
The Human Creativity Spectrum
The copyright analysis for AI-generated content exists on a spectrum based on how much human creative control went into the work. At one end, a user types a simple text prompt and accepts whatever the AI generates. At the other end, a human artist uses AI tools as a sophisticated brush, making hundreds of creative selections, iterations, modifications, and additions. The Copyright Office and courts are working through where on this spectrum sufficient human authorship exists to support a copyright claim. Factors that may weigh toward protectability include the specificity and creativity of prompts, human selection and arrangement of AI outputs, significant human modification of AI-generated material, and integration of AI elements into a larger human-authored work.
The Zarya of the Dawn Case
One of the most instructive early cases involves the graphic novel Zarya of the Dawn, which was partially created using Midjourney AI image generation. The Copyright Office initially registered the work, then reconsidered, ultimately granting copyright only in the text and the selection and arrangement of the work, while refusing protection for the individual AI-generated images themselves. This case illustrates the Copyright Office’s current approach of parsing AI-generated works and granting copyright only to the human-authored portions, treating AI-generated elements as unprotectable.
Business Implications of the AI Copyright Gap
The current state of copyright in AI-generated content creates significant business uncertainty. Companies investing in AI-generated marketing content, product designs, music, or software face the risk that their investments in AI-generated outputs cannot be protected by copyright, leaving them available for competitors to copy freely. This affects business models, valuation of AI-generated assets, and investment decisions. Some companies are responding by ensuring that human creative involvement is documented throughout AI-assisted workflows, making the human contribution explicit and substantial enough to support copyright claims.
Copyright and AI Training Data
Separate from the output question, copyright in AI-generated content is also implicated on the input side. Training large AI models on copyrighted works without license is the subject of numerous ongoing lawsuits. Authors, artists, musicians, news organizations, and software developers have filed class action claims arguing that using their copyrighted works to train AI models constitutes copyright infringement. These cases are working through the courts and will have profound implications for how AI systems can lawfully be trained. Depending on their outcome, AI developers may be required to obtain licenses for training data, which could significantly affect the development and cost of AI systems.
Practical Strategies for AI Content Creators
- Document your creative process when using AI tools, including prompts, iterations, selections, and modifications
- Add substantial human creative elements to AI-generated base material to strengthen copyright claims
- Be transparent with the Copyright Office about AI involvement when registering works
- Consider whether trade secret protection is available for valuable AI-generated works that cannot be copyrighted
- Consult PerspireIP before investing heavily in AI-generated content assets to understand the current protection landscape
- Monitor ongoing Copyright Office rulemaking and court decisions for developments that may affect your strategy
International Perspectives on AI Copyright
Other countries are taking different approaches to copyright in AI-generated content. The United Kingdom has a specific provision in the Copyright, Designs and Patents Act that grants copyright in computer-generated works to the person who made the necessary arrangements for the work’s creation, potentially covering AI-generated outputs. China has courts that have found copyright in AI-generated content under certain circumstances. The European Union is grappling with these questions in the context of its AI Act and ongoing copyright reform discussions. As the global legal landscape evolves, international copyright strategy for AI-generated works will become increasingly complex.
Conclusion
Copyright in AI-generated content is one of the most rapidly evolving areas of IP law. The current US framework requires human authorship, leaving purely AI-generated works outside copyright protection, but significant questions remain about the degree of human involvement required and how to evaluate the creative contributions of complex human-AI collaborative processes. PerspireIP helps clients navigate this uncertain landscape, structure AI workflows to maximize copyright protection, and develop comprehensive IP strategies for AI-generated assets.