AI Research
Position: Evaluations of AI Moral Reasoning Still Miss Half of the Picture
Moving beyond static values to measure how AI applies moral norms in nuanced contexts.
Recent work on evaluating the moral competence of large language models (LLMs) has focused primarily on what we call the moral value problem, i.e., whether model outputs align with human moral values. In contrast, the moral norm problem, i.e., whether models can identify and corr...
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ArXiv CS.AI
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ArXiv CS.AI
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Current AI evaluations focus too heavily on static moral values, neglecting the complex, context-dependent nature of real-world normative reasoning. Bridging this gap is essential for developing AI systems that can reliably navigate moral ambiguity rather than just mirroring popular ethical stances.
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