{
  "id": 5546,
  "url": "https://arxiv.org/abs/2604.19457v1",
  "title": "Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents",
  "summary": "Long-horizon enterprise agents make high-stakes decisions (loan underwriting, claims adjudication, clinical review, prior authorization) under lossy memory, multi-step reasoning, and binding regulatory constraints. Current evaluation reports a single task-success scalar that conflates distinct failure modes and hides whether an agent is aligned with the standards its deployment environment requires. We propose that long-horizon decision behavior decomposes into four orthogonal alignment axes, ea",
  "authors": "Vasundra Srininvasan",
  "category": "research",
  "topics": "regulation,safety-alignment,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-21T13:37:19.000Z",
  "fetched_at": "2026-07-14T16:31:48.876Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5546",
  "original_url": "https://arxiv.org/abs/2604.19457v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}