Data and System Perspectives of Sustainable Artificial Intelligence

• URL: http://arxiv.org/abs/2501.07487v1
• Date: Mon, 13 Jan 2025 17:04:23 GMT
• Title: Data and System Perspectives of Sustainable Artificial Intelligence
• Authors: Tao Xie, David Harel, Dezhi Ran, Zhenwen Li, Maoliang Li, Zhi Yang, Leye Wang, Xiang Chen, Ying Zhang, Wentao Zhang, Meng Li, Chen Zhang, Linyi Li, Assaf Marron,
• Abstract summary: Sustainable AI is a subfield of AI for aiming to reduce environmental impact and achieve sustainability.<n>In this article, we discuss current issues, opportunities and example solutions for addressing these issues.
• Score: 43.21672481390316
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Sustainable AI is a subfield of AI for concerning developing and using AI systems in ways of aiming to reduce environmental impact and achieve sustainability. Sustainable AI is increasingly important given that training of and inference with AI models such as large langrage models are consuming a large amount of computing power. In this article, we discuss current issues, opportunities and example solutions for addressing these issues, and future challenges to tackle, from the data and system perspectives, related to data acquisition, data processing, and AI model training and inference.

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