AI 倫理
借り受けた安全：出力中心の AI ガバナンスが前提とする人間の能力を消耗させる仕組み
Borrowed Safety: How Output-Centric AI Governance Depletes the Human Capacity It Assumes
ワーキングペーパー · Zenodo初回公開
研究概要
出力中心の AI 制御が目に見えるリスクを減らす一方で、将来の検証とガバナンスに必要な人間の能力を弱める仕組みを分析する。
原文要旨（英語）
This preprint develops the borrowed-safety thesis: output-centric AI controls can reduce visible hosted-platform risk while weakening the distributed human capacity needed to secure, verify, and govern future AI deployment. It introduces containment, incidence, regeneration, and action-symmetry tests; derives a self-contained non-closure result, apprenticeship threshold, reversal time, and infrastructure floor; and argues for open, model-neutral, externally bounded practice infrastructure paired with strict action-level control in production.
Social SciencesAI ethicsAI governancecybersecurityhuman capitalverificationcyber rangesdual useAI safety