In a comment submitted to the US Copyright Office, the FTC warned that generative AI has enabled potential copyright infringement and consumer deception
The U.S. Copyright Office has already repeatedly weighed in on creations made with generative artificial intelligence (AI) …
Context & Ripple Effects
The Copyright Office had already opened a public record on AI training and copyright through its request for input on AI and copyright. The FTC's submission adds consumer-deception concerns to a process initially centered on authorship and use of protected works.
The Office's earlier view that protection turns on a creator's human mental conception shows the policy debate operating on two tracks: whether outputs qualify for protection and whether AI systems' inputs or claims create harm.
First-order effects
- The Copyright Office's AI review gains an enforcement-agency perspective that explicitly connects generative AI to potential infringement and consumer deception.
- AI companies and users participating in the proceeding face a broader policy record, covering not only authorship but also how AI-generated material may be marketed or presented to consumers.
Second-order effects
- Providers may need to treat copyright controls and consumer-facing disclosures as linked compliance issues rather than separate legal questions, particularly where generated material is commercialized.
- Creative users have a stronger incentive to document their human contribution: the Office had already denied protection to an AI-generated competition-winning image, despite later editing and extensive prompting.
Third-order effects
- If agencies continue to frame generative AI through both intellectual-property and consumer-protection lenses, governance will increasingly focus on the full lifecycle of generated content—training, output provenance, and commercial claims.
- That could make clear evidence of human authorship and responsible product presentation a competitive requirement for AI content tools, though the eventual legal standards remain unsettled.
The trend: Generative AI governance is shifting from a narrow authorship debate toward combined scrutiny of training practices, output ownership, and consumer-facing claims.