{"title":"Will the use of AI in human resources create a digital Frankenstein?","authors":"Kimberly M. Lukaszewski , Dianna L. Stone","doi":"10.1016/j.orgdyn.2024.101033","DOIUrl":null,"url":null,"abstract":"<div><p>Organizations are increasingly using artificial intelligence (AI) and machine learning (ML) to manage human resource processes and practices (e.g., recruitment, selection, performance management, and compensation). However, it has long been known that these new systems create several ethical problems and dilemmas in organizations. As a result, the primary purposes of this paper were to review the major ethical and moral issues associated with using AI and ML for human resource management. In particular, we considered the potential for these new systems to violate ethical standards, and reviewed the degree to which AL and ML models affect (a) perceptions of invasion of privacy, (b) biases and unfair discrimination in employment decision making, and (c) the harm that may come to individuals and organizations from the erroneous data generated by AI and ML. We also offered strategies that organizations might use to overcome these critical ethical problems.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 1","pages":"Article 101033"},"PeriodicalIF":3.1000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organizational Dynamics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0090261624000068","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Organizations are increasingly using artificial intelligence (AI) and machine learning (ML) to manage human resource processes and practices (e.g., recruitment, selection, performance management, and compensation). However, it has long been known that these new systems create several ethical problems and dilemmas in organizations. As a result, the primary purposes of this paper were to review the major ethical and moral issues associated with using AI and ML for human resource management. In particular, we considered the potential for these new systems to violate ethical standards, and reviewed the degree to which AL and ML models affect (a) perceptions of invasion of privacy, (b) biases and unfair discrimination in employment decision making, and (c) the harm that may come to individuals and organizations from the erroneous data generated by AI and ML. We also offered strategies that organizations might use to overcome these critical ethical problems.
各组织越来越多地使用人工智能(AI)和机器学习(ML)来管理人力资源流程和实践(如招聘、选拔、绩效管理和薪酬)。然而,众所周知,这些新系统会给组织带来一些伦理问题和困境。因此,本文的主要目的是回顾与使用人工智能和 ML 进行人力资源管理相关的主要伦理道德问题。特别是,我们考虑了这些新系统违反道德标准的可能性,并回顾了人工智能和 ML 模型对以下方面的影响程度:(a)隐私侵犯的看法;(b)就业决策中的偏见和不公平歧视;以及(c)人工智能和 ML 生成的错误数据可能对个人和组织造成的伤害。我们还提出了组织可用于克服这些关键伦理问题的策略。
期刊介绍:
Organizational Dynamics domain is primarily organizational behavior and development and secondarily, HRM and strategic management. The objective is to link leading-edge thought and research with management practice. Organizational Dynamics publishes articles that embody both theoretical and practical content, showing how research findings can help deal more effectively with the dynamics of organizational life.