Digital Overconsumption and Waste: A Closer Look at the Impacts of Generative AI

Fuente: arXiv
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Auteurs principaux: Utz, Vanessa, DiPaola, Steve
Format: Preprint
Publié: 2025
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author Utz, Vanessa
DiPaola, Steve
author_facet Utz, Vanessa
DiPaola, Steve
contents 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
format Preprint
id arxiv_https___arxiv_org_abs_2505_18894
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Digital Overconsumption and Waste: A Closer Look at the Impacts of Generative AI
Utz, Vanessa
DiPaola, Steve
Artificial Intelligence
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
title Digital Overconsumption and Waste: A Closer Look at the Impacts of Generative AI
topic Artificial Intelligence
url https://arxiv.org/abs/2505.18894