The Human Utility Factor: A Computable Welfare Metric That Reframes AI Governance as a Constrained Optimisation Problem
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
Record details
Published: 30 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Jobs & economy · Transparency
Retrieved: 30 July 2026
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ethics.ai (30 July 2026), “The Human Utility Factor: A Computable Welfare Metric That Reframes AI Governance as a Constrained Optimisation Problem,” evidence record 14517, https://ethics.ai/record/14517 (originally published by arXiv cs.CY).
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