{
  "id": 17768,
  "url": "https://arxiv.org/abs/2606.15485",
  "title": "The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products",
  "summary": "arXiv:2606.15485v2 Announce Type: replace Abstract: Agentic AI systems act autonomously, use tools, adapt to context, and operate in complex real-world environments. However, these same characteristics can create or exacerbate product risks. We studied how industry developers (n=35) perceive, prioritize, and address the risks in their agentic AI products. We found that developers' perceptions of risk were closely tied to the qualities that made the product agentic, such as autonomy, tool use, an",
  "authors": "Hao-Ping Lee, Jessica He, David Piorkowski, Thomas Serban von Davier, Jodi Forlizzi, Sauvik Das",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17768",
  "original_url": "https://arxiv.org/abs/2606.15485",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}