{
  "id": 11763,
  "url": "https://arxiv.org/abs/2607.15944v1",
  "title": "When Not to Automate: A Formal Protocol for Human Preservation in AI-Optimized Organizations",
  "summary": "Standard automation ROI misses four categories of systemic risk -- tacit knowledge erosion, resilience reduction, regulatory exposure, and socio-institutional capital degradation -- that affect long-term organizational performance. PHP-AIO (Protocol for Human Preservation in AI-Optimized Organizations) is a five-gate sequential decision protocol with a final composite check that quantifies these unpriced systemic risks at the role level and produces auditable automation decisions. A closed-form",
  "authors": "Jose Manuel de la Chica Rodriguez, Jairo Rodriguez Arias, Spyridon Chouliaras",
  "category": "research",
  "topics": "regulation,jobs-economy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-17T13:27:57.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/11763",
  "original_url": "https://arxiv.org/abs/2607.15944v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}