Generative artificial intelligence and academia: Implication for research, teaching and service

IF 2.8 3区管理学 Q2 MANAGEMENT

Management Learning Pub Date : 2023-10-06 DOI:10.1177/13505076231201445

Amon Barros, Ajnesh Prasad, Martyna Śliwa

引用次数: 2

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.

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生成式人工智能与学术界:对研究、教学和服务的启示

在这篇社论中，我们确定了学术界产生式人工智能的一些机会和后果。我们讨论了生成式人工智能将如何影响学术工作职责的三个主要领域:研究、教学和服务。为了使我们的想法生动起来，我们提供了一些说明性的例子，说明生成式人工智能将如何影响这些领域。进一步认识到从管理学习的角度来看，生成式人工智能为学术界带来了机遇和后果，我们使用了代表生成式人工智能对三个学术责任领域的积极和消极结果的例子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Management Learning MANAGEMENT-

CiteScore

6.10

自引率

29.20%

发文量

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