论文标题
设计公平的AI，用于管理组织中的员工：审查，批评和设计议程
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda
论文作者
论文摘要
组织正在迅速部署人工智能（AI）系统来管理其工人。但是，AI有时被发现对工人不公平。对工人的不公平与工人努力减少和工人流动增加有关。为了避免此类问题，必须设计AI系统以支持公平性和不公平实例。尽管关注与AI不公平有关，但没有一种理论和系统的制定设计议程的方法。本文以三种方式解决了问题。首先，我们介绍了组织正义理论，三种不同的公平类型（分配，程序，互动）以及纠正不公平实例的框架（报应司法，恢复性司法）。其次，我们回顾了设计文献，该文献特别关注组织中的AI公平问题。第三，我们为组织中的AI公平性提出了设计议程，将每种公平类型都应用于组织场景。然后，本文结束了对未来研究的影响。
Organizations are rapidly deploying artificial intelligence (AI) systems to manage their workers. However, AI has been found at times to be unfair to workers. Unfairness toward workers has been associated with decreased worker effort and increased worker turnover. To avoid such problems, AI systems must be designed to support fairness and redress instances of unfairness. Despite the attention related to AI unfairness, there has not been a theoretical and systematic approach to developing a design agenda. This paper addresses the issue in three ways. First, we introduce the organizational justice theory, three different fairness types (distributive, procedural, interactional), and the frameworks for redressing instances of unfairness (retributive justice, restorative justice). Second, we review the design literature that specifically focuses on issues of AI fairness in organizations. Third, we propose a design agenda for AI fairness in organizations that applies each of the fairness types to organizational scenarios. Then, the paper concludes with implications for future research.
