Our Take
Forgery law may not have caught up to AI, but the real issue is deception: if you're publishing under someone else's name without consent, the tool doesn't matter.
Why it matters
Political campaigns are already using AI to generate voter outreach at scale. Without clear attribution and consent, the line between efficient content production and impersonation collapses fast. Regulators and platforms are watching.
Do this week
Legal and compliance teams: audit any AI-generated content that appears under a third party's name or account this week and confirm explicit written consent is on file before publication.
Candidate caught publishing AI content under false attribution
A New York City Council candidate was accused of forgery after social media posts attributed to campaign supporters were revealed to be AI-generated, according to the Associated Press. The posts did not disclose their artificial origin and were presented as though written by real people backing the campaign.
The accusation centers on misrepresentation: the content appeared authentic but was machine-generated. No details on which AI platform was used or the scale of the operation are yet public.
Existing law may not fit the new problem
Forgery statutes were written to catch fraud in documents and signatures. AI-generated text doesn't fit the classic framework neatly. A post claiming to be from a supporter is false attribution, but whether it meets the legal definition of forgery depends on jurisdiction and how prosecutors interpret intent and materiality.
The real vulnerability is not legal ambiguity. It is trust. Voters, platforms, and regulators now face a simpler question: does the public know that AI wrote what they're reading? If not, and if it's framed as human-authored, it is deception regardless of what the statute calls it.
Political campaigns have every incentive to scale content production. AI makes that cheap. Without mandatory disclosure and genuine consent from people whose names or likenesses appear on the content, this pattern will repeat. The first enforcement action sets a costly precedent.
Treat AI-generated content like a compliance risk
If your organization publishes content that appears to come from a real person, a named group, or a verified account holder, get written consent before posting. Store it. Disclose AI involvement in the authorship chain. Do not rely on fine print or a generic terms-of-service clause. The candidate in this case did neither.
This is not about marketing best practice. It is about legal exposure and platform enforcement. Facebook, X, and Google now have policies requiring disclosure of synthetic media in political ads. NYC's case confirms that prosecutors and voters care too.