LLM responses to moral judgment queries reinforce implicit humanization, potentially exacerbating overreliance and misplaced trust.
Matin, Gorav N
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
AI accuracy evaluation requires four normative choices on metrics, balancing, representative data, and thresholds that embed assumptions about risks and trade-offs, as analyzed through the EU AI Act.
citing papers explorer
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Implicit Humanization in Everyday LLM Moral Judgments
LLM responses to moral judgment queries reinforce implicit humanization, potentially exacerbating overreliance and misplaced trust.
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Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
AI accuracy evaluation requires four normative choices on metrics, balancing, representative data, and thresholds that embed assumptions about risks and trade-offs, as analyzed through the EU AI Act.