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When do people rely on LLMs as they should? Measuring trust and trustworthiness on a single scale

2026-05-08

Abstract excerpt

<p>People routinely consult Large Language Models (LLMs) for factual information, yet the accuracy of these systems varies dramatically across domains. How well do people calibrate their reliance to this uneven landscape of AI competence? We introduce a method for quantifying trust in an information source as its implicit evidential weight during incentivized belief updating, expressed on a common scale where 1 is...

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Identifiers and source

Literature Corpus work
57923b81-7efe-5798-8902-f98c60dd8e21
DOI
10.31234/osf.io/wrh3g_v1
Open publication

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