Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions

As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education, according...

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Published in:DISCOVER SUSTAINABILITY
Main Authors: Khan, Sunawar; Mazhar, Tehseen; Shahzad, Tariq; Khan, Muhammad Amir; Rehman, Ateeq Ur; Saeed, Mamoon M.; Hamam, Habib
Format: Review
Language:English
Published: SPRINGERNATURE 2025
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001395646600001
author Khan
Sunawar; Mazhar
Tehseen; Shahzad
Tariq; Khan
Muhammad Amir; Rehman
Ateeq Ur; Saeed
Mamoon M.; Hamam
Habib
spellingShingle Khan
Sunawar; Mazhar
Tehseen; Shahzad
Tariq; Khan
Muhammad Amir; Rehman
Ateeq Ur; Saeed
Mamoon M.; Hamam
Habib
Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
Science & Technology - Other Topics; Environmental Sciences & Ecology
author_facet Khan
Sunawar; Mazhar
Tehseen; Shahzad
Tariq; Khan
Muhammad Amir; Rehman
Ateeq Ur; Saeed
Mamoon M.; Hamam
Habib
author_sort Khan
spelling Khan, Sunawar; Mazhar, Tehseen; Shahzad, Tariq; Khan, Muhammad Amir; Rehman, Ateeq Ur; Saeed, Mamoon M.; Hamam, Habib
Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
DISCOVER SUSTAINABILITY
English
Review
As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education, according to this study. The research uses case studies and best practices to show how AI-driven innovations can minimize environmental impact, enhance energy efficiency, and customize learning, creating a more sustainable and inclusive academic environment. The document discusses AI ethics, including data privacy, algorithmic prejudice, and the digital divide. It emphasizes the need for strong ethical frameworks to use AI ethically and make decisions with transparency and fairness. The study also emphasizes the need for robust institutional rules and infrastructure to promote ethical AI integration, protecting student privacy and supporting fair access to AI technologies. The research also shows how AI-driven curriculum-building tools can educate students for future sustainability concerns and stimulate research innovation. The prospects and difficulties of AI in higher education are critically examined, including its potential to change traditional educational roles, improve academic performance, and maintain institutional profitability. Actionable recommendations for educators, politicians, and institutional leaders contribute to the education sustainability conversation. Focusing on AI and sustainability creates the framework for a future where technology and environmental stewardship are intimately connected, ensuring that higher education institutions can prosper in a fast-changing world.
SPRINGERNATURE

2662-9984
2025
6
1
10.1007/s43621-025-00809-6
Science & Technology - Other Topics; Environmental Sciences & Ecology
gold
WOS:001395646600001
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001395646600001
title Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
title_short Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
title_full Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
title_fullStr Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
title_full_unstemmed Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
title_sort Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
container_title DISCOVER SUSTAINABILITY
language English
format Review
description As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education, according to this study. The research uses case studies and best practices to show how AI-driven innovations can minimize environmental impact, enhance energy efficiency, and customize learning, creating a more sustainable and inclusive academic environment. The document discusses AI ethics, including data privacy, algorithmic prejudice, and the digital divide. It emphasizes the need for strong ethical frameworks to use AI ethically and make decisions with transparency and fairness. The study also emphasizes the need for robust institutional rules and infrastructure to promote ethical AI integration, protecting student privacy and supporting fair access to AI technologies. The research also shows how AI-driven curriculum-building tools can educate students for future sustainability concerns and stimulate research innovation. The prospects and difficulties of AI in higher education are critically examined, including its potential to change traditional educational roles, improve academic performance, and maintain institutional profitability. Actionable recommendations for educators, politicians, and institutional leaders contribute to the education sustainability conversation. Focusing on AI and sustainability creates the framework for a future where technology and environmental stewardship are intimately connected, ensuring that higher education institutions can prosper in a fast-changing world.
publisher SPRINGERNATURE
issn
2662-9984
publishDate 2025
container_volume 6
container_issue 1
doi_str_mv 10.1007/s43621-025-00809-6
topic Science & Technology - Other Topics; Environmental Sciences & Ecology
topic_facet Science & Technology - Other Topics; Environmental Sciences & Ecology
accesstype gold
id WOS:001395646600001
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001395646600001
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