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

2023/10/06 by Amon Barros, Ajnesh Prasad, Martyna Śliwa · 1 voice · 3 citations
Business, Management and Accounting · Medicine · #Artificial Intelligence in Healthcare and Education #Big Data and Business Intelligence

paper · doi:10.1177/13505076231201445

openalex publication_date 2023/10/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

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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