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A Moral Turing Test to assess How Subjective Belief and Objective Source Affect Detection and Agreement with LLM Judgments

2026-01-15

Abstract excerpt

<p>As large language models (LLMs) are increasingly integrated into decision-making systems—such as autonomous vehicles and medical devices—understanding how humans perceive and evaluate AI-generated judgements is crucial. To investigate this, we conducted a series of experiments in which participants evaluated justifications for moral and non-moral choices, generated either by humans or LLMs. Participants attempt...

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Literature Corpus work
e8e1351f-e75d-59ef-b09e-73b77d5dca69
DOI
10.31234/osf.io/ct6rx_v3
Open publication

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A Moral Turing Test to assess How Subjective Belief and Objective Source Affect Detection and Agreement with LLM JudgmentsDOI 10.31234/osf.io/ct6rx_v3
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