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Sustainable AI Technologies: Challenges and Opportunities

Sustainable AI Technologies: Challenges and Opportunities
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Author(s): Mohammad A. Al Khaldy (Department of Business Intelligence and Data Analytics, University of Petra, Jordan), Amjad Aldweesh (College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia), Ahmad Al-Qerem (Computer Science Department, Faculty of Information Technology, Zarqa University, Zarqa, Jordan), Mohammad Alauthman (Department of Information Security, University of Petra, Amman, Jordan), Ammar Almomani (Department of Computer Information Science, Higher Colleges of Technology, Sharjah, UAE)and Mouhammd Alkasassbeh (Princess Sumaya University for Technology, Jordan)
Copyright: 2026
Pages: 28
Source title: AI and Sustainability for Global Security
Source Author(s)/Editor(s): Amal Jmaii (University of Tunis el Manar, Tunisia)
DOI: 10.4018/979-8-3373-1077-0.ch006

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Abstract

Sustainable AI merges artificial intelligence (AI) development with ecological, social, and economic resilience. It addresses energy consumption, resource management, ethical implications, and policy integration. This chapter explores current practices, identifies challenges, and uncovers opportunities for developing systems that align with sustainable goals. It reviews existing research on carbon footprints, data governance, ethical frameworks, public policy, and cross-sector collaboration. It also analyzes potential methods to measure and mitigate AI's environmental impact, with illustrative tables and diagrams spread throughout. Finally, the chapter offers an outlook on integrating these findings into a cohesive vision for sustainable AI, bridging academic and industry efforts, and enhancing practical governance frameworks.

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