Review
Version 1
Preserved in Portico This version is not peer-reviewed
Artificial Intelligence and Sustainability – A Review
Version 1
: Received: 27 December 2023 / Approved: 27 December 2023 / Online: 27 December 2023 (13:48:46 CET)
A peer-reviewed article of this Preprint also exists.
Dhiman, R.; Miteff, S.; Wang, Y.; Ma, S.-C.; Amirikas, R.; Fabian, B. Artificial Intelligence and Sustainability—A Review. Analytics 2024, 3, 140-164. Dhiman, R.; Miteff, S.; Wang, Y.; Ma, S.-C.; Amirikas, R.; Fabian, B. Artificial Intelligence and Sustainability—A Review. Analytics 2024, 3, 140-164.
Abstract
Along with the rapid development and wide application of Artificial Intelligence (AI), discussions regarding AI Sustainability have emerged. Employing a systematic mapping study, this paper reviews research about AI Sustainability from diverse fields and viewpoints, including three dimensions economic, social, and environmental. Our analysis indicates a transformative shift in research focus, evolving from fragmented approaches to a more holistic understanding of AI Sustainability. This maturation is reflected in the interplay between multiple dimensions and the integration of both "AI as a tool for sustainability" and "Sustainability of AI" perspectives. As the field continues to mature, researchers should embrace a comprehensive and unbiased exploration of AI Sustainability across all dimensions and approaches, ensuring a well-rounded foundation for future advancements in this rapidly evolving domain.
Keywords
Artificial Intelligence; AI; Sustainability; Systematic Mapping Study
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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