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The dark side of artificial intelligence in higher education

The dark side of artificial intelligence in higher education The paper focuses on the negative aspects of artificial intelligence in higher education such as biases in the datasets and algorithms, plagiarism, factual incorrectness, micromanagement of students and employees, manipulation of behaviour, überveillance, overreliance on AI, lack of or low explainability and transparency of AI’s decisions, loss of skills, and privacy concerns. The paper adopts an operations management perspective and discusses the negative aspects of AI in the various processes in higher education institutions such as enrolment of students, hiring of employees, teaching/learning/assessment, administrative activities, research, socialisation and well-being of students, remuneration, appraisal and wellbeing of employees. Special attention is paid to AI’s impacts on ethics, creativity and critical thinking. Potential solutions to avoid or mitigate the negative impacts of AI, theoretical, managerial and policy implications are discussed as well. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Service Industries Journal Taylor & Francis

The dark side of artificial intelligence in higher education

Ivanov, Stanislav
Service Industries Journal , Volume 43 (15-16): 28 – Dec 10, 2023
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References (104)

Publisher
Taylor & Francis
Copyright
© 2023 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1743-9507
eISSN
0264-2069
DOI
10.1080/02642069.2023.2258799
Publisher site
See Article on Publisher Site

Abstract

The paper focuses on the negative aspects of artificial intelligence in higher education such as biases in the datasets and algorithms, plagiarism, factual incorrectness, micromanagement of students and employees, manipulation of behaviour, überveillance, overreliance on AI, lack of or low explainability and transparency of AI’s decisions, loss of skills, and privacy concerns. The paper adopts an operations management perspective and discusses the negative aspects of AI in the various processes in higher education institutions such as enrolment of students, hiring of employees, teaching/learning/assessment, administrative activities, research, socialisation and well-being of students, remuneration, appraisal and wellbeing of employees. Special attention is paid to AI’s impacts on ethics, creativity and critical thinking. Potential solutions to avoid or mitigate the negative impacts of AI, theoretical, managerial and policy implications are discussed as well.

Journal

Service Industries Journal – Taylor & Francis

Published: Dec 10, 2023

Keywords: Artificial intelligence; higher education; negative impacts; ethics; decision-making approaches; 人工智能; 高等教育; 负面影响; 伦理; 决策方法

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