{
  "id": 3193,
  "url": "https://arxiv.org/abs/2606.28347v1",
  "title": "Agentic Safety is an Epistemic Property, Not a Behavioral One",
  "summary": "Contemporary AI safety spans pre-training interventions, post-training alignment, deployment-time controls, monitoring, and red-teaming. These methods are necessary, but they primarily certify snapshots of system behavior. As AI systems become more capable, dynamic, embodied, and self-improving, this snapshot view becomes incomplete: safety depends not only on whether a system behaves acceptably now, but whether it remains correctable as it learns, adapts, acts, and modifies itself over time. Th",
  "authors": "Charles L. Wang, Keir Dorchen, Peter Jin",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-02T17:59:25.000Z",
  "fetched_at": "2026-07-14T16:30:05.529Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3193",
  "original_url": "https://arxiv.org/abs/2606.28347v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}