Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint
arXiv:2608.09998v1 Announce Type: cross Abstract: Artificial Intelligence (AI) and Machine Learning (ML) have become powerful tools for supporting and automating complex human tasks. Despite their benefits, growing attention has been directed toward their environmental implications, primarily due to their high energy demands and associated carbon emissions. This concern is particularly relevant in light of the increasing deployment of large-scale models, especially Deep Learning (DL) architectur
Record details
Published: 12 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Environment
Retrieved: 12 August 2026
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ethics.ai (12 August 2026), “Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint,” evidence record 18359, https://ethics.ai/record/18359 (originally published by arXiv cs.CY).
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