← ireadpaper · 顶刊中的公共政策研究

赋能包容性工作

Empowering Inclusive Work
NBER Working Papers · 2026 · [{"name": "Yanyou Chen", "affiliation": []}, {"name": "Mitchell Hoffman", "affiliation": []}, {"name": "Huilan Xu", "affiliation": []}, {"name": "Zhe Yuan", "affiliation": []}]

中文摘要

AI 能否改善残障工人的工作场所结果?我们考察了中国最大外卖平台之一上失聪或听力障碍(DHH)工人的相对表现。在 AI 引入之前,DHH 工人比非残障工人速度更慢,客户评分更差,尽管他们向平台提供的工时更多,且离职可能性更低。在我们数据的中间阶段,该平台突然推出了一套基于 AI 的智能外呼系统,旨在改善 DHH 工人的客户沟通。利用比较 AI 工具引入前后 DHH 工人与非残障工人的双重差分设计,我们发现 AI 提高了 DHH 工人的速度和生产率,尤其是在涉及客户互动的任务上;大幅减少了负面客户评分;并增加了劳动供给和留任率。AI 消除了残障小时薪酬差距的三分之一,并显著提高了 DHH 工人为平台带来的盈利能力。

Abstract

Can AI improve workplace outcomes for workers with disabilities? We examine the relative performance of deaf or hard of hearing (DHH) workers on one of China's largest food-delivery platforms. Pre-AI, DHH workers are slower than non-disabled workers and have worse customer ratings, although they supply more hours to the platform and are less likely to quit. Midway through our data, the platform suddenly introduces an AI-based intelligent outbound calling system designed to improve customer communication for DHH workers. Using a difference-in-differences design comparing DHH and non-disabled workers before and after the AI tool, we find that AI increases the speed and productivity of DHH workers, especially on tasks involving customer interaction; substantially reduces negative customer ratings; and increases labor supply and retention. AI eliminates one-third of the disability hourly pay gap and significantly increases the profitability of DHH workers for the platform.
在 ireadpaper 查看全部 →