{
  "id": 14517,
  "url": "https://arxiv.org/abs/2607.26068",
  "title": "The Human Utility Factor: A Computable Welfare Metric That Reframes AI Governance as a Constrained Optimisation Problem",
  "summary": "arXiv:2607.26068v1 Announce Type: cross Abstract: Existing AI governance frameworks, including the EU AI Act and NIST AI RMF, address safety, transparency, and accountability but do not operationalize quantitative constraints on macro-socioeconomic stability. As a result, AI systems may satisfy regulatory requirements while contributing to labor displacement, rising inequality, and reduced economic resilience. We introduce the Human Utility Factor (HUF), a differentiable welfare metric that mode",
  "authors": "Sivasathivel Kandasamy",
  "category": "research",
  "topics": "regulation,jobs-economy,transparency",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-07-30T04:00:00.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "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/14517",
  "original_url": "https://arxiv.org/abs/2607.26068",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}