{
  "id": 5736,
  "url": "https://arxiv.org/abs/2605.20210v1",
  "title": "Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy",
  "summary": "Agentic AI systems - systems that can pursue goals through multi-step planning and tool-mediated action with limited direct supervision - are moving from experimental prototypes to enterprise deployments. This transition introduces tensions in implementation, scaling, and governance: organizations seek scalable autonomy for knowledge and coordination work, yet must preserve accountability, safety, cost control, and responsibility as systems initiate actions, access enterprise data, and evolve th",
  "authors": "Nelly Dux, Cristina Alaimo, Philippe Roussiere, Abhishek Kumar Mishra",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-17T09:03:42.000Z",
  "fetched_at": "2026-07-14T16:31:57.535Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5736",
  "original_url": "https://arxiv.org/abs/2605.20210v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}