{
  "id": 123,
  "url": "https://arxiv.org/abs/2607.07766v1",
  "title": "Alignment Plausibility: A New Standard for Assuring AI in Healthcare",
  "summary": "Large language models (LLMs) have become significant providers of mental health support, yet they remain products of an attention economy whose operational and commercial targets favour sustained engagement over the friction that effective psychological support often requires. Developers' safety responses have been largely reactive, addressing the most visible and acute harms while subtler, longer-term patterns of risk (e.g., dependency, boundary erosion, the amplification of distorted beliefs) ",
  "authors": "Gwydion Williams, Sara Zannone, Bilal A Mateen",
  "category": "research",
  "topics": "safety-alignment,jobs-economy,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-08T15:39:10.000Z",
  "fetched_at": "2026-07-14T14:14:19.968Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/123",
  "original_url": "https://arxiv.org/abs/2607.07766v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}