生成式AI加剧数字浪费，引发环境与消费行为双重危机
Digital Overconsumption and Waste: A Closer Look at the Impacts of Generative AI
- 分析生成式AI的能耗与碳排放对数字垃圾的贡献
- 揭示用户在面对气候研究时仍持续过度使用AI的行为
- 提出缓解数字过量消耗的潜在路径，适合关注AI可持续性的研究者
当前生成式人工智能系统因能源消耗和相关二氧化碳排放，对数字垃圾产生负面影响。亟需讨论将有害消费行为（如过度消费）复制到数字空间的问题。本文回顾了商业可用生成式AI系统的气候影响，以及用户在面对人工智能相关气候研究时的情绪反应。进一步探讨数字过量消费与浪费、其他社会影响，并提出可能的解决路径。
原文摘要 · Abstract (English)
Generative Artificial Intelligence (AI) systems currently contribute negatively to the production of digital waste, via the associated energy consumption and the related CO2 emissions. At this moment, a discussion is urgently needed on the replication of harmful consumer behavior, such as overconsumption, in the digital space. We outline our previous work on the climate implications of commercially available generative AI systems and the sentiment of generative AI users when confronted with AI-related climate research. We expand on this work via a discussion of digital overconsumption and waste, other related societal impacts, and a possible solution pathway
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