The Politics of Integrating Artificial Intelligence into Higher Education: Benefits < > Risks
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Date
2024-10-01
Authors
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
CDELT
Series Info
Occasional Papers ; Article 9, Volume 88, Issue 1, October 2024, Page 243-284
Scientific Journal Rankings
Abstract
The intersection of education, politics and technology is increasingly
becoming urgent in analysing the development of educational systems.
As Artificial Intelligence (AI) is reshaping our lives, it is changing the
façades of many fields, including higher education. Despite the global
appellative propaganda for AI and the quite charming, fascinating, and
tempting discourse on the necessity of change, development and updating
education to meet a rapidly changing job market, inter alia, the
uncontrolled use of AI can represent real threats to educational systems.
This paper investigates some of the benefits and risks of integrating AI
into higher education and their prospective implications for students'
skills and their employability, teachers and the industry. It is not my
intention, by any means, to reject or attack AI technology in itself, but it
is an attempt to carefully and rationally think, analyse, compare and
evaluate that integration. Since politics and technology are vital for
education, the study employs a multi-disciplinary theoretical perspective.
It is a qualitative study based on observation, analysis, comparison and
interpretation. The study unveils serious risks of the global unjustifiable
pressure to integrate AI into higher education for their implications for
students, teachers and the industry. Benefits are found to be
disproportional to the risks and the whole issue should be reconsidered
before integration.
Description
Keywords
Artificial Intelligence, Higher Education, AI Benefits, AI Risks, Employability
Citation
Ahmed, S. A. (2024). The Politics of Integrating Artificial Intelligence into Higher Education: Benefits Risks. CDELT Occasional Papers in the Development of English Education, 88(1), 243–284. https://doi.org/10.21608/opde.2024.390892