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arXiv · 2504.06324

From Stability to Inconsistency: A Study of Moral Preferences in LLMs

Monika Jotautaite·Mary Phuong·Chatrik Singh Mangat·Maria Angelica Martinez
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Abstract

As large language models (LLMs) increasingly integrate into our daily lives, it becomes crucial to understand their implicit biases and moral tendencies. To address this, we introduce a Moral Foundations LLM dataset (MFD-LLM) grounded in Moral Foundations Theory, which conceptualizes human morality through six core foundations. We propose a novel evaluation method that captures the full spectrum of LLMs' revealed moral preferences by answering a range of real-world moral dilemmas. Our findings reveal that state-of-the-art models have remarkably homogeneous value preferences, yet demonstrate a lack of consistency.

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Monika Jotautaite, Mary Phuong, Chatrik Singh Mangat, Maria Angelica Martinez. 2025-04-08. From Stability to Inconsistency: A Study of Moral Preferences in LLMs. https://arxiv.org/abs/2504.06324

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