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How Objective Source and Subjective Belief Shape the Detectability and Acceptability of LLMs’ Moral Judgments

2024-10-01

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: c02fced0-e04f-5036-a0ad-e2cb17f7ea2f
DOI: 10.31234/osf.io/ct6rx_v1

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