The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making

Abstract excerpt

<p>As large language models (LLMs) become increasingly integrated into society, their alignment with human morals is crucial. To better understand this alignment, we created a large corpus of human and LLM-generated responses to various moral scenarios. We found a misalignment between human and LLM moral assessments; although both LLMs and humans tended to reject morally complex utilitarian dilemmas, LLMs were mor...

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Literature Corpus work

ecd36797-da26-5769-9754-679e6e4c957d

DOI

10.31234/osf.io/ct6rx