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The Face · research january to may 2026 · published 2026-08-03 · v2 · 3 min read · history

The disclosure trap

Saying you used a machine costs you trust, professionals respond by going quiet, and that collides with our own position on provenance

The measured trust penalty for admitting machine assistance, the silent-verification equilibrium it produces in high-trust work, and the unresolved conflict it opens with our own published requirement that every contribution carry its maker's name.

In brief
The problem

verified

Every claim this passage rests on has been checked against its sources.

  • "Across thirteen experiments with more than five thousand participants, actors who disclose their use of machine assistance are trusted less than those who do not, with reduced perceived legitimacy as the mechanism the authors identify."

    verified. Schilke and Reimann 2025, Organizational Behavior and Human Decision Processes 188. Evaluator groups included students, legal analysts, hiring managers, and investors; actors included supervisors, subordinates, professors, analysts, creatives, and investment funds.

Open the complete evidence in the structured publication.

Thirteen experiments with more than five thousand participants find that disclosing machine assistance lowers trust in the person disclosing, across framings and whether the disclosure was voluntary or required.
The mechanism

verified

Every claim this passage rests on has been checked against its sources.

  • "The trust penalty holds across disclosure framings, above and beyond general algorithm aversion, and whether the disclosure is voluntary or mandatory, and the effect is weaker than the penalty when a third party exposes undisclosed use."

    verified. Schilke and Reimann 2025, studies 9 to 13 and the within-paper meta-analysis, which also reports the penalty attenuated but not eliminated among evaluators with favorable technology attitudes and high perceived accuracy.

Open the complete evidence in the structured publication.

In work whose value is the human behind it, disclosure is read as a legitimacy problem rather than an honesty signal, so the individually rational response is silent verification, which is the equilibrium several professions are already converging on.
The move

position

This is the publication's stated position, not an empirical claim. It rests on the argument rather than graded evidence.

Open the complete evidence in the structured publication.

Publish the collision rather than pick the comfortable side, because we hold that provenance stays recoverable and the evidence says recoverability at the client interface carries a price we have not yet paid.

Honesty is supposed to buy trust. Oliver Schilke and Martin Reimann, both at the University of Arizona, ran thirteen experiments with more than five thousand participants to see whether that holds when the thing being admitted is machine assistance, and published the answer in Organizational Behavior and Human Decision Processes in 2025. It does not. Actors who disclose their use of machine assistance are trusted less than those who do not, and the penalty showed up across supervisors, subordinates, professors, analysts, creatives, and investment funds, across tasks from communication to analytics to artistic work, and across evaluator groups including hiring managers, legal analysts, and investors. It survived changes in how the disclosure was worded. It survived controlling for general aversion to algorithms. It appeared whether the disclosure was volunteered or required.

The authors locate the mechanism in legitimacy rather than in suspicion of the tool, which matches what the field reports from every profession where the human is the product. In work whose value is the person behind it, a disclosure is not read as an honesty signal but as evidence that the person needed help doing what they were hired to be, so the individually rational move is to verify the output privately and present it as one’s own. Medicine has already documented the pattern, with patients rating physicians who admit to using the technology as less competent. Ministry reports the same instinct as a concern about authenticity in preaching, at 49 percent among surveyed church leaders. In law the disclosure is increasingly mandated and remains professionally costly. Three professions, one equilibrium, and the name the adaptation literature has given it is invisible infrastructure.

Here is where we have to publish something uncomfortable rather than route around it. The corpus argues, in its most-cited form, that a shared structure requires every piece to carry its maker’s name, that a stone without a signature does not get laid into the wall, and that payment and accountability are one property read from two directions. This finding says the signature has a price, and that the people paying it are exactly the practitioners whose relationships we spend the rest of the corpus defending. Both cannot be comfortable at once.

The strongest reconciliation available is a real distinction and it does not fully dissolve the problem. Recoverable provenance and announced provenance are different requirements. A trail can be complete, durable, and queryable without being the first sentence a client hears, in the same way that a building’s structural drawings are archived rather than painted on the lobby wall. What that reconciliation cannot do is survive its own success. A trail nobody surfaces is functionally identical to no trail for every reader who does not know to look, and our own position holds that a disclosure withheld until someone digs is not a disclosure.

There is one empirical thread that cuts back the other way and it deserves the last word rather than a footnote. The same thirteen experiments found the disclosure penalty smaller than the penalty when a third party exposes undisclosed use. The quiet equilibrium is locally rational and globally fragile, which means the professions converging on silence are pricing the risk they can see and not the one that arrives later, all at once, for everyone in the field at the same time. We are not resolving this here, and we are not filing it away either. The honest position is that we hold a requirement that the evidence says is expensive, we think the expense is worth paying, and the argument for that is one we still owe.

Evidence and lineage

Research trail

Follow the sources, inspect how the claims are graded, or propose a correction at the exact record it concerns.

Sources 3
  1. Oliver Schilke and Martin Reimann (2025). The transparency dilemma, how AI disclosure erodes trust (Organizational Behavior and Human Decision Processes 188)

    The brick's anchor. Thirteen experiments, more than five thousand participants, disclosure penalty across actor types, task types, evaluator groups, disclosure framings, and voluntary versus mandatory conditions, with reduced perceived legitimacy as the mechanism the authors identify. Verified against the published article and the authors' institutional summary during the face wave.

    Comment on this source
  2. Barna Group and Pushpay (2026). Technology for Missional Impact, State of Church Tech 2026 (n=1,306 church leaders, fielded 11 November to 8 December 2025)

    The ministry half of the field parallel: loss of authenticity in preaching and teaching among the leading concerns at 49 percent.

    Comment on this source
  3. mnstry-org. Signed stones (org:writing:signed-stones)

    The corpus position this brick collides with. The tension is recorded in both apparatus files and in the signed-stones editorial notes rather than resolved in either piece.

    Comment on this source
Claims and confidence 4
  1. verified

    Across thirteen experiments with more than five thousand participants, actors who disclose their use of machine assistance are trusted less than those who do not, with reduced perceived legitimacy as the mechanism the authors identify.

    Schilke and Reimann 2025, Organizational Behavior and Human Decision Processes 188. Evaluator groups included students, legal analysts, hiring managers, and investors; actors included supervisors, subordinates, professors, analysts, creatives, and investment funds.

    Respond to this claim
  2. verified

    The trust penalty holds across disclosure framings, above and beyond general algorithm aversion, and whether the disclosure is voluntary or mandatory, and the effect is weaker than the penalty when a third party exposes undisclosed use.

    Schilke and Reimann 2025, studies 9 to 13 and the within-paper meta-analysis, which also reports the penalty attenuated but not eliminated among evaluators with favorable technology attitudes and high perceived accuracy.

    Respond to this claim
  3. directional

    Patients rate physicians who disclose using machine assistance in diagnosis as less competent, and the professional equilibrium forming across medicine, law, and ministry is private verification with the output presented as the professional's own.

    Directional. Reported in the high-trust-profession adaptation research and consistent with the Schilke and Reimann result, but the underlying medical studies were not independently re-verified in this wave and the cross-professional equilibrium is an observation in the adaptation literature rather than a measured trend.

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  4. contested

    The corpus position that every contribution carries its maker's name is in unresolved tension with the measured cost of disclosure at the client interface.

    Contested by construction. This is an internal conflict between a published org position (signed-stones) and a verified external finding, published as a held tension on operator instruction rather than resolved in either direction. The recoverable-versus-announced distinction narrows it and does not close it.

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