{
  "id": 310,
  "url": "https://arxiv.org/abs/2607.02245v1",
  "title": "Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Support",
  "summary": "Mental health disorders affect nearly one billion people globally, yet 75% of individuals in low- and middle-income countries receive no treatment due to workforce shortages, cost barriers, and stigma. Current AI-powered wellness solutions predominantly rely on single-mode conversational interfaces that suffer high abandonment rates and fail to provide measurable, immediate relief calibrated to users' dynamic emotional states. This paper presents Copewell, a novel multi-agent swarm system design",
  "authors": "Seren Yenikent, Jack Vinijtrongjit, Katherine Ng",
  "category": "research",
  "topics": "jobs-economy,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-02T14:40:03.000Z",
  "fetched_at": "2026-07-14T14:14:28.433Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/310",
  "original_url": "https://arxiv.org/abs/2607.02245v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}