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Christoph Trattner

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#artificial intelligence Preprint Aug 2026

Epistemic Transfer in AI-Assisted Verification: A Framework and Evaluation Protocol

This paper introduces the Epistemic Transfer Effect (ETE), which compares delayed unassisted performance across conditions, and Tool-Removal Cost (TRC), which measures the immediate drop in performance when the tool is taken away, and turns these ideas into a practical evaluation protocol that can be used in online experiments or field studies.

Christoph Trattner · 0 citations