Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients

LLM-governed social robots increasingly decide who receives real-world assistance first. As prioritization norms vary across cultures by age, status, and group size, failure to calibrate pluralistically can scale into unequal access. Yet LLM moral audits remain English-centered, rarely test embodied contexts, leaving pluralistic calibration as an urgent diagnostic gap amid intensifying LLM-robot deployment. We introduce a gradient-based audit framework for multilingual evaluation of LLM moral tr

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ethics.ai (2 June 2026), “Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients,” evidence record 3224, https://ethics.ai/record/3224 (originally published by arXiv).

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