发表机构
Bauer Advanced Network Solutions KG（鲍尔高级网络解决方案有限公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对AI改进但仍不完善时企业的人类员工参与决策问题，构建基于主体的市场模型再现相关分析阈值，揭示信任品市场中人类技能等信号的保留机制。
AI 中文摘要
部署着不断改进但仍不完善的AI的企业必须决定让人类员工参与的程度。基于主体的市场模型再现了带噪声信念、记录学习和员工流动下的分析阈值。
英文摘要
Providers deploying imperfect AI must decide how much to keep humans engaged: engagement costs output but builds the fallback skill needed when it fails. A liability pledge whose expected cost falls in that skill restores single crossing on a type that is neither drawn nor embodied once in a good, but built, decaying and poachable. One engagement decision thus produces both the client-facing signal and the trajectory on which mobile workers sort. That conjunction is what is new. It yields a two-sided band of served work, a stakes threshold above which building beats free-riding, and a signal that never dies.
Comments30 pages plus 21-page supplement, 8 figures. v4: Proposition 2 corrected (participation threshold below which types pool), explicit pricing assumption, agent-based market rebuilt, new figure on certification vs rival quality; Propositions 4-8 restated with explicit conditions; introduction and literature rewritten. Replication: https://doi.org/10.6084/m9.figshare.33317559
