{"title":"生成式人工智能与学术界:对研究、教学和服务的启示","authors":"Amon Barros, Ajnesh Prasad, Martyna Śliwa","doi":"10.1177/13505076231201445","DOIUrl":null,"url":null,"abstract":"In this editorial, we identify some of the opportunities and the consequences of generative artificial intelligence for academia. We discuss how generative artificial intelligence will affect the three main areas of an academic’s job responsibilities: research, teaching and service. To animate our ideas, we offer illustrative examples of how generative artificial intelligence will impact each of these areas. Further recognizing that generative artificial intelligence poses both opportunities and consequences for academia from a management learning perspective, we use examples that represent a positive and a negative outcome resultant of generative artificial intelligence to each of the three areas of academic responsibility.","PeriodicalId":47925,"journal":{"name":"Management Learning","volume":"24 1","pages":"0"},"PeriodicalIF":2.8000,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Generative artificial intelligence and academia: Implication for research, teaching and service\",\"authors\":\"Amon Barros, Ajnesh Prasad, Martyna Śliwa\",\"doi\":\"10.1177/13505076231201445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this editorial, we identify some of the opportunities and the consequences of generative artificial intelligence for academia. We discuss how generative artificial intelligence will affect the three main areas of an academic’s job responsibilities: research, teaching and service. To animate our ideas, we offer illustrative examples of how generative artificial intelligence will impact each of these areas. Further recognizing that generative artificial intelligence poses both opportunities and consequences for academia from a management learning perspective, we use examples that represent a positive and a negative outcome resultant of generative artificial intelligence to each of the three areas of academic responsibility.\",\"PeriodicalId\":47925,\"journal\":{\"name\":\"Management Learning\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Management Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/13505076231201445\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/13505076231201445","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Generative artificial intelligence and academia: Implication for research, teaching and service
In this editorial, we identify some of the opportunities and the consequences of generative artificial intelligence for academia. We discuss how generative artificial intelligence will affect the three main areas of an academic’s job responsibilities: research, teaching and service. To animate our ideas, we offer illustrative examples of how generative artificial intelligence will impact each of these areas. Further recognizing that generative artificial intelligence poses both opportunities and consequences for academia from a management learning perspective, we use examples that represent a positive and a negative outcome resultant of generative artificial intelligence to each of the three areas of academic responsibility.
期刊介绍:
The nature of management learning - the nature of individual and organizational learning, and the relationships between them; "learning" organizations; learning from the past and for the future; the changing nature of management, of organizations, and of learning The process of learning - learning methods and techniques; processes of thinking; experience and learning; perception and reasoning; agendas of management learning Learning and outcomes - the nature of managerial knowledge, thinking, learning and action; ethics values and skills; expertise; competence; personal and organizational change