{
  "id": 12005,
  "url": "https://arxiv.org/abs/2607.17149v1",
  "title": "A Diagnostic Framework for AI Agent Behavior",
  "summary": "AI agents increasingly act within the same clinical, political, scientific, and social systems that behavioral scientists study. Evaluating these systems requires source-level diagnosis: the same behavioral pattern may arise from an agent representational substrate or from the roles, objectives, interaction structures, and governance rules that shape its expression. This Perspective proposes a diagnostic framework for AI agent behavior: layer attribution. The foundational computational layer def",
  "authors": "Xichen Zhang, Yingjie Zhang, Tianshu Sun",
  "category": "research",
  "topics": "regulation,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-19T09:14:27.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/12005",
  "original_url": "https://arxiv.org/abs/2607.17149v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}