The primary source for every AI ownership question.
Copyright and Artificial Intelligence (US Copyright Office hub)
US Copyright Office 2025
Open copyright.gov →Under the US Copyright Office's 2025 report, purely AI-generated output is not copyrightable and prompts alone do not make it yours; you own the parts where you added real human expression, selection, or editing. Disclosure is nuanced: the FTC requires it for AI-generated testimonials and platforms like Meta require it for realistic AI imagery, but for ordinary AI-assisted marketing copy, no blanket label is required. Research shows heavy-handed labels can reduce trust, so disclose where rules or realism demand it and focus on being genuinely accurate everywhere.
18 resources.
The primary source for every AI ownership question.
US Copyright Office 2025
Open copyright.gov →The report that settled it: prompts alone do not create ownership.
US Copyright Office Jan 2025
Open copyright.gov →Short official summary if you will not read the PDF.
US Copyright Office 2025
Open copyright.gov →Readable official walkthrough of what is and is not protectable.
Library of Congress Feb 2025
Open blogs.loc.gov →Top law firm's practical read for businesses using AI content.
Skadden Feb 2025
Open skadden.com →The training-data side: what feeding content into AI means legally.
Crowell & Moring May 2025
Open crowell.com →Concise firm alert on the human-authorship threshold.
Manatt 2025
Open manatt.com →Another expert lens on how much human editing earns protection.
Wiley 2025
Open wiley.law →Neutral legal primer written for lawmakers, useful for founders.
Congressional Research Service 2024
Open congress.gov →Scholarly synthesis of both reports in one place.
Copyright Society Apr 2025
Open copyrightsociety.org →A judgment-based framework instead of label-everything panic.
MarTech 2025
Open martech.org →The patchwork of state and platform rules, mapped.
AdExchanger 2025
Open adexchanger.com →Sensible disclosure norms for content teams.
Kontent.ai 2024
Open kontent.ai →The when-not-to-label half most guides skip.
VeraContent 2024
Open veracontent.com →Peer-reviewed evidence on what labels do to audience trust.
Journal of Interactive Advertising 2025
Open tandfonline.com →Identical ads rated worse when labeled AI; know the tradeoff.
NIM (Nuremberg Institute) 2025
Open nim.org →Ownership plus risk checklist written for operating executives.
TechCXO 2025
Open techcxo.com →The FTC endorsement-guide specifics, including AI testimonials.
ppl.studio 2026
Open ppl.studio →The same ground, over in Brand, web & content, our Starting Up track.