{"title":"人工智能和人员管理:通过伦理视角的关键评估","authors":"Arup Varma , Cedric Dawkins , Kaushik Chaudhuri","doi":"10.1016/j.hrmr.2022.100923","DOIUrl":null,"url":null,"abstract":"<div><p>The dramatic increase in the use of Artificial Intelligence (AI) in workplaces around the world has tremendous potential to increase business profitability. While AI has numerous useful applications and can help speed up business processes or transform systems, its use in human resources (HR) processes and systems presents a complex series of ethical considerations that require organizational leaders to tread with caution. In this paper, we argue that as the foremost worker advocates in the firm, HR managers must be ethically sensitive and accountable. They have responsibility to carefully monitor AI programs to ensure that these systems do what they are purported to do and protect the dignity of the worker through transparency regarding the data being collected and privacy regarding its usage. Lastly, the HR manager must closely monitor the fairness and equity impacts of AI such that its use is procedurally and distributivity just.</p></div>","PeriodicalId":48145,"journal":{"name":"Human Resource Management Review","volume":"33 1","pages":"Article 100923"},"PeriodicalIF":8.2000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and people management: A critical assessment through the ethical lens\",\"authors\":\"Arup Varma , Cedric Dawkins , Kaushik Chaudhuri\",\"doi\":\"10.1016/j.hrmr.2022.100923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The dramatic increase in the use of Artificial Intelligence (AI) in workplaces around the world has tremendous potential to increase business profitability. While AI has numerous useful applications and can help speed up business processes or transform systems, its use in human resources (HR) processes and systems presents a complex series of ethical considerations that require organizational leaders to tread with caution. In this paper, we argue that as the foremost worker advocates in the firm, HR managers must be ethically sensitive and accountable. They have responsibility to carefully monitor AI programs to ensure that these systems do what they are purported to do and protect the dignity of the worker through transparency regarding the data being collected and privacy regarding its usage. Lastly, the HR manager must closely monitor the fairness and equity impacts of AI such that its use is procedurally and distributivity just.</p></div>\",\"PeriodicalId\":48145,\"journal\":{\"name\":\"Human Resource Management Review\",\"volume\":\"33 1\",\"pages\":\"Article 100923\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Resource Management Review\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1053482222000419\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Resource Management Review","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053482222000419","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
Artificial intelligence and people management: A critical assessment through the ethical lens
The dramatic increase in the use of Artificial Intelligence (AI) in workplaces around the world has tremendous potential to increase business profitability. While AI has numerous useful applications and can help speed up business processes or transform systems, its use in human resources (HR) processes and systems presents a complex series of ethical considerations that require organizational leaders to tread with caution. In this paper, we argue that as the foremost worker advocates in the firm, HR managers must be ethically sensitive and accountable. They have responsibility to carefully monitor AI programs to ensure that these systems do what they are purported to do and protect the dignity of the worker through transparency regarding the data being collected and privacy regarding its usage. Lastly, the HR manager must closely monitor the fairness and equity impacts of AI such that its use is procedurally and distributivity just.
期刊介绍:
The Human Resource Management Review (HRMR) is a quarterly academic journal dedicated to publishing scholarly conceptual and theoretical articles in the field of human resource management and related disciplines such as industrial/organizational psychology, human capital, labor relations, and organizational behavior. HRMR encourages manuscripts that address micro-, macro-, or multi-level phenomena concerning the function and processes of human resource management. The journal publishes articles that offer fresh insights to inspire future theory development and empirical research. Critical evaluations of existing concepts, theories, models, and frameworks are also encouraged, as well as quantitative meta-analytical reviews that contribute to conceptual and theoretical understanding.
Subject areas appropriate for HRMR include (but are not limited to) Strategic Human Resource Management, International Human Resource Management, the nature and role of the human resource function in organizations, any specific Human Resource function or activity (e.g., Job Analysis, Job Design, Workforce Planning, Recruitment, Selection and Placement, Performance and Talent Management, Reward Systems, Training, Development, Careers, Safety and Health, Diversity, Fairness, Discrimination, Employment Law, Employee Relations, Labor Relations, Workforce Metrics, HR Analytics, HRM and Technology, Social issues and HRM, Separation and Retention), topics that influence or are influenced by human resource management activities (e.g., Climate, Culture, Change, Leadership and Power, Groups and Teams, Employee Attitudes and Behavior, Individual, team, and/or Organizational Performance), and HRM Research Methods.