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 explainab...

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Bibliographic Details
Published inThe Service industries journal Vol. 43; no. 15-16; pp. 1055 - 1082
Main Author Ivanov, Stanislav
Format Journal Article
LanguageEnglish
Published London Routledge 10.12.2023
Taylor & Francis Ltd
Subjects
Artificial intelligence
decision-making approaches
ethics
higher education
negative impacts
人工智能
伦理
决策方法
负面影响
高等教育
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Summary: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.
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ISSN:0264-2069
1743-9507
DOI:10.1080/02642069.2023.2258799