Epistemic Assurance
Epistemic assurance is a proposed term for a practice: systematically detecting, preventing, and correcting conditions in which representational systems lose effective governance by the constraint-return signals that should revise them.
Where synthetic coherence names the failure mode — internally coherent representations persisting despite degraded contact with operative reality — epistemic assurance names the practice of maintaining that contact.
The practice draws on analogues in adjacent fields: quality assurance in manufacturing, model risk management in finance (SR 11-7, SS1/23), safety assurance in engineering, and evidence-based methodology in healthcare. What these share is the recognition that internal consistency is not sufficient evidence of reliability, and that independent, structured verification is required to maintain confidence that representations track what they claim to represent.
Epistemic assurance includes:
- structured assessment of whether corrective findings reach and govern decision-relevant representations — not just whether signals exist, but whether they bind at the point of action
- testing for channel independence, signal integrity, and feedback cadence
- assessment of structural adequacy — whether models generalize beyond narrow fit and capture the relevant invariants, especially where direct feedback is unavailable or misleading
- detection of defense mechanisms that prevent correction from binding
- governance design that preserves the capacity to be surprised
Related
The concept of synthetic coherence — a central failure condition that epistemic assurance is designed to address — is introduced in:
Rypdal, Hermod. 2026. Synthetic Coherence: Truth Fidelity and the Signal Ecology of Representational Systems. Working paper, version 1.0. DOI: 10.5281/zenodo.18916480
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