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Sustainable AI: Emerging Trends, Impacts, and Future Challenges
University of Science and Technology Beijing, China.
University of Science and Technology Beijing, China.
University of Science and Technology Beijing, China.
Dar es Salaam Institute of Technology, Tanzania.
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2025 (English)In: IEEE Transactions on Sustainable Computing, E-ISSN 2377-3782, Vol. 10, no 6, p. 1278-1291Article in journal (Refereed) Published
Abstract [en]

Sustainable AI considers both the environmental impact of AI technologies and their role in advancing global sustainability. This study provides a comprehensive analysis of emerging trends in sustainable AI, highlighting energy-efficient algorithms, green data centers, AI-driven resource management, and ethical governance. It emphasizes AI's dual nature, its potential to drive climate action and socio-economic progress, alongside risks such as carbon emissions, e-waste, and digital inequality. The study underscores the need for interdisciplinary collaboration, inclusive policies, and standardized sustainability metrics to ensure responsible AI deployment. By identifying barriers and proposing strategies, it offers guidance to researchers, policymakers, and industry leaders on aligning AI with long-term environmental, ethical, and social objectives. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025. Vol. 10, no 6, p. 1278-1291
Keywords [en]
Ai Governance, Energy Efficiency, Environmental Impact, Ethical Ai, Green Ai, Sustainable Ai, Artificial Intelligence, Economics, Ethical Aspects, Green Computing, Sustainable Development, Ai Technologies, Comprehensive Analysis, Emerging Trends, Energy, Future Challenges, Global Sustainability
National Category
Artificial Intelligence Environmental Sciences
Identifiers
URN: urn:nbn:se:bth-28718DOI: 10.1109/TSUSC.2025.3611272ISI: 001635809200008Scopus ID: 2-s2.0-105016710503OAI: oai:DiVA.org:bth-28718DiVA, id: diva2:2003205
Available from: 2025-10-03 Created: 2025-10-03 Last updated: 2026-01-05Bibliographically approved

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