Article

Trust as a Trajectory Property: An Epistemic Dynamics Framework for AI Evaluation

2026-06-25

Abstract excerpt

Trustworthy deployment of AI systems under uncertainty requires more than accurate predictions: it requires structured mechanisms for confidence estimation, verification, escalation, and governance. We introduce a formal framework that models AI systems, human evaluators, and hybrid workflows as trajectories in an epistemic state space E defined by eight measurable variables: confidence, trust, uncertainty, verifi...

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Literature Corpus work: 0c1bee94-bcce-57f0-b60a-a3e22b52725e
DOI: 10.20944/preprints202606.1880.v1

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