Co-design of LLM-based preference agents: participation may drive overtrust
arXiv:2607.21757v1 Announce Type: new Abstract: Large language models are increasingly used to simulate human preferences in research and practical applications, raising concerns about validation, misrepresentation, and exclusion. Co-designing agents with the people they represent is a promising way to address these concerns, but participation may also mask the problems it appears to solve. This paper explores that tension through a primarily qualitative study in which 12 participants co-designe
Record details
Published: 27 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy
Retrieved: 27 July 2026
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ethics.ai (27 July 2026), “Co-design of LLM-based preference agents: participation may drive overtrust,” evidence record 13580, https://ethics.ai/record/13580 (originally published by arXiv cs.CY).
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