{
  "id": 586,
  "url": "https://arxiv.org/abs/2606.26573v1",
  "title": "Pingquanqi (Equalizer): A Cross-Domain Sociotechnical Framework for Human-Agent Interaction Governance",
  "summary": "LLM agents are transitioning from experimental tools to permanent infrastructure -- a computational layer as enduring as the electrical grid. Like any infrastructure, they carry a cost chain from physical capital through enterprise investment to user consumption, ending at the user's most irreplaceable resource: lifetime. When unoptimized, this chain leaks, consuming user lifetime without adequate compensation. This paper proposes Pingquanqi (Equalizer), a cross-domain sociotechnical framework f",
  "authors": "Yu Wang",
  "category": "research",
  "topics": "regulation,agents-autonomy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-25T03:47:12.000Z",
  "fetched_at": "2026-07-14T14:14:37.250Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/586",
  "original_url": "https://arxiv.org/abs/2606.26573v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}