The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers
arXiv:2604.24155v4 Announce Type: replace Abstract: The project of aligning machine behavior with human values raises a basic problem: whose moral expectations should guide AI decision-making? Much alignment research assumes that the appropriate benchmark is how humans themselves would act in a given situation. Studies of agent-type value forks challenge this assumption by showing that people do not always judge humans and AI systems identically. This paper extends that challenge by examining tw
Record details
Published: 30 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 30 July 2026
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How to cite this record
ethics.ai (30 July 2026), “The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers,” evidence record 14525, https://ethics.ai/record/14525 (originally published by arXiv cs.CY).
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