Paperback. The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Overdependence on AI in Academia (Paperback)
Publisher: IGI Global, Hershey
Publication Date: 2026
Language: English
ISBN 13: 9798337370989
Binding: Paperback
Condition: new

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Synopsis

The incorporation of AI into academia changes academic structures. From research methodologies to pedagogies and publishing, AI challenges conventional practices in knowledge acquisition, academic evaluation and production. While the applications of AI support enhanced accessibility, innovation and efficiency, there are also increasing issues and concerns regarding the ethics, values, and misuse of AI, including AI bias and regulatory gaps within academic institutions. Further exploration may reveal new strategies to successfully implement AI in education without issues of overreliance. Overdependence on AI in Academia explores the opportunities and consequences of AI integration in higher education. It examines concerns of academic freedom, equity, institutional responsibility, and the need for a human-centered approach to AI governance. This book covers topics such as curriculum development, digital literacy, and higher education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.

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