{"title":"人工智能对专业知识发展的影响:对人力资源开发的启示","authors":"Alexandre A. Ardichvili","doi":"10.1177/15234223221077304","DOIUrl":null,"url":null,"abstract":"Problem The implementation of artificial intelligence (AI) is assumed to lead to increased productivity of knowledge workers. However, AI could also have negative effects on the development of professional expertise. Solution A review of the literature on expertise development is provided, followed by examples of AI implementation in a knowledge-intensive profession, accounting. The analysis of these examples suggests that automation can result in the loss of expertise due to reduced opportunities for learning from deliberate practice and experienced colleagues, and from working on progressively more complex tasks. Implications for human resource development (HRD) include creating alternative individual development opportunities and promoting organizational cultures conducive to expertise development in human-machine interaction modes. Stakeholders The results of this study will be of interest to scholars of HRD, accounting education, and human-machine interaction. Practical implications will be of relevance to HRD professionals and managers responsible for the implementation of artificial intelligence solutions.","PeriodicalId":51549,"journal":{"name":"Advances in Developing Human Resources","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"The Impact of Artificial Intelligence on Expertise Development: Implications for HRD\",\"authors\":\"Alexandre A. Ardichvili\",\"doi\":\"10.1177/15234223221077304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Problem The implementation of artificial intelligence (AI) is assumed to lead to increased productivity of knowledge workers. However, AI could also have negative effects on the development of professional expertise. Solution A review of the literature on expertise development is provided, followed by examples of AI implementation in a knowledge-intensive profession, accounting. The analysis of these examples suggests that automation can result in the loss of expertise due to reduced opportunities for learning from deliberate practice and experienced colleagues, and from working on progressively more complex tasks. Implications for human resource development (HRD) include creating alternative individual development opportunities and promoting organizational cultures conducive to expertise development in human-machine interaction modes. Stakeholders The results of this study will be of interest to scholars of HRD, accounting education, and human-machine interaction. Practical implications will be of relevance to HRD professionals and managers responsible for the implementation of artificial intelligence solutions.\",\"PeriodicalId\":51549,\"journal\":{\"name\":\"Advances in Developing Human Resources\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2022-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Developing Human Resources\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15234223221077304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INDUSTRIAL RELATIONS & LABOR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Developing Human Resources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15234223221077304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
The Impact of Artificial Intelligence on Expertise Development: Implications for HRD
Problem The implementation of artificial intelligence (AI) is assumed to lead to increased productivity of knowledge workers. However, AI could also have negative effects on the development of professional expertise. Solution A review of the literature on expertise development is provided, followed by examples of AI implementation in a knowledge-intensive profession, accounting. The analysis of these examples suggests that automation can result in the loss of expertise due to reduced opportunities for learning from deliberate practice and experienced colleagues, and from working on progressively more complex tasks. Implications for human resource development (HRD) include creating alternative individual development opportunities and promoting organizational cultures conducive to expertise development in human-machine interaction modes. Stakeholders The results of this study will be of interest to scholars of HRD, accounting education, and human-machine interaction. Practical implications will be of relevance to HRD professionals and managers responsible for the implementation of artificial intelligence solutions.
期刊介绍:
Advances in Developing Human Resources is a bi-monthly journal whose single issues explore and examine discrete topics. These single issues (or "back issues," once the subsequent issue is published) are available individually or in quantities for use in a classroom or training environment. Balancing practice, theory, and readability, each issue is devoted to important and timely topics related to the development of human resources. The content of the journal spans the realms of performance, learning, and integrity within an organizational context. Readable and relevant to practitioners, each issue is grounded in sound research and theory and edited by a top scholar in the field.