arXiv Machine Learning By Pedram Bakhtiarifard, P{\i}nar T\"oz\"un, Christian Igel, Raghavendra Selvan

Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race

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arXiv:2502. 20016v2 Announce Type: replace Abstract: Sustainability encompasses three key facets: economic, environmental, and social.

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arXiv AI
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Sustainability assessment using multimodal AI agents

arXiv:2507. 17012v2 Announce Type: replace Abstract: Reducing the rapidly growing environmental impact of the computing industry requires assessing the emissions of electronics at scale.

By Zhihan Zhang, Alexander Metzger, Yuxuan Mei, Felix H\"ahnlein, Zachary Englhardt, Tingyu Cheng, Gregory D. Abowd, Shwetak Patel, Adriana Schulz, Vikram Iyer
arXiv Machine Learning
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The Rise of AI in Weather and Climate Information and its Impact on Global Inequality

arXiv:2603. 05710v2 Announce Type: replace-cross Abstract: AI development's current trajectory risks automating and amplifying the North-South divide in the global climate information system.

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arXiv Machine Learning
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Geospatial Foundation Models to Enable Progress on Sustainable Development Goals

arXiv:2505. 24528v3 Announce Type: replace-cross Abstract: Foundation Models (FMs) are large-scale, pre-trained artificial intelligence (AI) systems that have revolutionized natural language processing and computer vision, and are now advancing geospatial analysis and Earth Observation (EO).

By Pedram Ghamisi, Weikang Yu, Xiaokang Zhang, Aldino Rizaldy, Jian Wang, Chufeng Zhou, Richard Gloaguen, Gustau Camps-Valls