{
  "id": 7217,
  "url": "https://arxiv.org/abs/2603.14417v1",
  "title": "Questionnaire Responses Do not Capture the Safety of AI Agents",
  "summary": "As AI systems advance in capabilities, measuring their safety and alignment to human values is becoming paramount. A fast-growing field of AI research is devoted to developing such assessments. However, most current advances therein may be ill-suited for assessing AI systems across real-world deployments. Standard methods prompt large language models (LLMs) in a questionnaire-style to describe their values or behavior in hypothetical scenarios. By focusing on unaugmented LLMs, they fall short of",
  "authors": "Max Hellrigel-Holderbaum, Edward James Young",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-15T15:01:09.000Z",
  "fetched_at": "2026-07-14T16:33:03.573Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7217",
  "original_url": "https://arxiv.org/abs/2603.14417v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}