The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions
arXiv:2608.05583v1 Announce Type: new Abstract: As large language models (LLMs) enter high-stakes domains such as healthcare, understanding their moral reasoning becomes essential. Decisions about scarce medical resources often hinge on judgments of responsibility, particularly when patients' own actions contribute to illness. We investigate how LLMs reason about responsibility and its consequences, tracing their judgments across successive levels, from the behavior, to the resulting illness, to
Record details
Published: 7 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 7 August 2026
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ethics.ai (7 August 2026), “The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions,” evidence record 17011, https://ethics.ai/record/17011 (originally published by arXiv cs.CY).
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