Upholding Epistemic Agency: A Brouwerian Assertibility Constraint for Responsible AI
Michael J\"ulich

TL;DR
This paper proposes a Brouwer-inspired assertibility constraint for responsible AI, ensuring systems can only assert claims with publicly inspectable certificates, thereby preserving epistemic agency in high-stakes domains.
Contribution
It introduces a three-status interface semantics and operationalizes the constraint through decision-layer gating and reason-coded abstentions to uphold responsible AI practices.
Findings
The semantics separate internal entitlement from public standing.
The operationalization uses internal witnesses and output contracts.
Undetermined is a mandatory status when no adequate witness exists.
Abstract
Generative AI can convert uncertainty into hypersuasive, authoritative-seeming verdicts, displacing the justificatory work on which democratic epistemic agency depends. As a corrective, I propose a Brouwer-inspired assertibility constraint for responsible AI: in high-stakes domains, systems may assert or deny claims only if they can provide a publicly inspectable and contestable certificate of entitlement; otherwise they must return Undetermined. This constraint yields a three-status interface semantics (Asserted, Denied, Undetermined) in which statuses mark entitlement to categorical speech rather than truth values of the underlying world-claim. The semantics cleanly separates internal entitlement from public standing while connecting them via the certificate as a boundary object. It also produces a time-indexed entitlement profile that is stable under numerical refinement yet…
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