Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-Centered Solutions
Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-Centered Solutions
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DOI：
10.1145/3491102.3517672
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发表时间：
2022-04
期刊：
影响因子：
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通讯作者：
Hyanghee Park;Daehwan Ahn;K. Hosanagar;Joonhwan Lee
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文献类型：
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作者：
Hyanghee Park;Daehwan Ahn;K. Hosanagar;Joonhwan Lee
企业最近将人工智能应用于人力资源管理（HRM），以评估员工的工作绩效评估。然而，在这样的人力资源管理背景下，多个利益相关者与不同的激励措施复杂地交织在一起，设计反映一个利益相关者群体需求的人工智能是有问题的（例如，企业、人力资源经理）。我们的研究旨在调查利益相关者之间围绕人力资源管理中的人工智能存在哪些紧张关系，并探索平衡紧张关系的设计解决方案。通过与不同的利益相关者（包括员工，雇主/人力资源团队和人工智能/业务专家）进行以利益相关者为中心的参与式研讨会，我们确定了五个主要的紧张关系：1）对公平的不同观点，2）人工智能的准确性，3）算法及其决策过程的透明度，4）算法决策的可解释性，以及5）生产力和不人道之间的权衡。我们提出了以利益相关者为中心的设计理念，以缓解这些紧张局势，并进一步讨论如何促进工作场所各利益相关者之间的和谐。
Enterprises have recently adopted AI to human resource management (HRM) to evaluate employees’ work performance evaluation. However, in such an HRM context where multiple stakeholders are complexly intertwined with different incentives, it is problematic to design AI reflecting one stakeholder group's needs (e.g., enterprises, HR managers). Our research aims to investigate what tensions surrounding AI in HRM exist among stakeholders and explore design solutions to balance the tensions. By conducting stakeholder-centered participatory workshops with diverse stakeholders (including employees, employers/HR teams, and AI/business experts), we identified five major tensions: 1) divergent perspectives on fairness, 2) the accuracy of AI, 3) the transparency of the algorithm and its decision process, 4) the interpretability of algorithmic decisions, and 5) the trade-off between productivity and inhumanity. We present stakeholder-centered design ideas for solutions to mitigate these tensions and further discuss how to promote harmony among various stakeholders at the workplace.