{
  "id": 13631,
  "url": "https://arxiv.org/abs/2607.21757v1",
  "title": "Co-design of LLM-based preference agents: participation may drive overtrust",
  "summary": "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-designed personal preference agents in the domain of ho",
  "authors": "Michael J. Fell",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-23T19:19:12.000Z",
  "fetched_at": "2026-07-27T05:10:06.638Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/13631",
  "original_url": "https://arxiv.org/abs/2607.21757v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}