Trust Readiness and Trust Drift: Authority, Contestability, and the Grounds of Organizational Judgment

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Authors: Johnson Wang
Cited by: 2
References: 1

Abstract

Organizations rely on certification, audit, expert review, compliance systems, and algorithm-assisted evaluation to issue judgments that allocate opportunities, burdens, and reputational consequences. Yet role-based authority neither establishes that a judgment is formed on conditions worthy of reliance nor ensures that those conditions remain valid. This paper develops a philosophy of trust readiness and trust drift through ACMS 4+1. The Prior Legitimacy Thesis holds that, before a consequential judgment claims institutional reliance, its formation conditions should be explainable, traceable, reviewable, and contestable. The Continuing Legitimacy Thesis holds that reliance cannot remain justified merely because it was once justified: when boundaries, definitions, reference rules, evidence, or disclosed residual conditions change, reliance must be recalibrated. ACMS 4+1 is presented as a justificatory and anti-drift grammar. Boundary identifies what is judged; definitions and conventions stabilize meaning; factors and reference rules license inference; evidence grounds the claim; and a reflexive “+1” records identified gaps, uncertainty, and residual risk. Material change is represented separately as Mₜ→ₜ₊₁, a trigger for reassessment. Trust drift occurs when institutional reliance persists, expands, or is redirected after these conditions change, fragment, are selectively omitted, or cease to support the same judgment. The paper distinguishes unready reliance from drift, explains deception as strategically induced drift exploiting partial truths and accumulated trust dividends, and analyses authority-based injustice as coercive drift that compresses weaker parties’ viable options and remedies. Contestability is developed as an anti-drift condition that helps keep reliance within the grounds that can still justify it.

Fields of Study & Subjects

Ethics and Social Impacts of AI Regulation and Compliance Studies Ethics in Business and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 August 2026
Document type
Preprint