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Affiliation:, Hunter College, City University of New York
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Identity-conditioned prompts can lead to significant differences in the readability of LLM-generated robot design descriptions, raising critical questions about bias in AI outputs.
Designing robots with a pluralistic approach could transform how they engage with diverse human communities, making interactions more inclusive and ethically sound.
