{"title":"探索性别偏见和算法透明度:人工智能在人力资源管理中的伦理考量","authors":"Jiaxing Du","doi":"10.53469/jtpms.2024.04(03).06","DOIUrl":null,"url":null,"abstract":"Opportunities and challenges are introduced by the integration of Artificial Intelligence (AI) into Human Resource Management (HRM). The paragraph discusses the ethical implications of AI applications in HRM, focusing on gender bias and algorithm transparency. It explores how AI-driven decision-making in HRM perpetuates gender bias, the importance of transparent algorithms for trust and accountability, and the role of regulatory frameworks in safeguarding ethical standards. The paper aims to provide a comprehensive analysis of the ethical landscape of AI in HRM and offers policy recommendations to mitigate bias and enhance transparency.","PeriodicalId":389559,"journal":{"name":"Journal of Theory and Practice of Management Science","volume":"208 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM\",\"authors\":\"Jiaxing Du\",\"doi\":\"10.53469/jtpms.2024.04(03).06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Opportunities and challenges are introduced by the integration of Artificial Intelligence (AI) into Human Resource Management (HRM). The paragraph discusses the ethical implications of AI applications in HRM, focusing on gender bias and algorithm transparency. It explores how AI-driven decision-making in HRM perpetuates gender bias, the importance of transparent algorithms for trust and accountability, and the role of regulatory frameworks in safeguarding ethical standards. The paper aims to provide a comprehensive analysis of the ethical landscape of AI in HRM and offers policy recommendations to mitigate bias and enhance transparency.\",\"PeriodicalId\":389559,\"journal\":{\"name\":\"Journal of Theory and Practice of Management Science\",\"volume\":\"208 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Theory and Practice of Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53469/jtpms.2024.04(03).06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theory and Practice of Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53469/jtpms.2024.04(03).06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM
Opportunities and challenges are introduced by the integration of Artificial Intelligence (AI) into Human Resource Management (HRM). The paragraph discusses the ethical implications of AI applications in HRM, focusing on gender bias and algorithm transparency. It explores how AI-driven decision-making in HRM perpetuates gender bias, the importance of transparent algorithms for trust and accountability, and the role of regulatory frameworks in safeguarding ethical standards. The paper aims to provide a comprehensive analysis of the ethical landscape of AI in HRM and offers policy recommendations to mitigate bias and enhance transparency.