{
  "id": 5775,
  "url": "https://arxiv.org/abs/2604.14984v1",
  "title": "Agentic Explainability at Scale: Between Corporate Fears and XAI Needs",
  "summary": "As companies enter the race for agentic AI adoption, fears surface around agentic autonomy and its subsequent risks. These fears compound as companies scale their agentic AI adoption with low-code applications, without a comparable scaling in their governance processes and expertise resulting in a phenomenon known as \"Agent Sprawl\". While shadow AI tools can help with agentic discovery and identification, few observability tools offer insights into the agents' configuration and settings or the d",
  "authors": "Yomna Elsayed, Cecily Jones",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-16T13:15:54.000Z",
  "fetched_at": "2026-07-14T16:32:02.057Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5775",
  "original_url": "https://arxiv.org/abs/2604.14984v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}