AI Research
Agreement Is Not Alignment: Divergent Moral Grounds in Human and LLM Ethical Judgments
Why matching human judgment is not the same as sharing human moral reasoning.
Agreement with human judgments is a common proxy for evaluating the alignment of large language models (LLMs). Yet agreement in final labels does not show that human annotators and models rely on the same moral grounds. Two agents may reach the same judgment while appealing to di...
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ArXiv CS.AI
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ArXiv CS.AI
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This research reveals that LLMs often arrive at human-aligned conclusions using fundamentally different and potentially flawed moral reasoning. Relying on output labels alone obscures the underlying ethical divergence, posing significant risks for high-stakes AI decision-making.
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