Digital Overconsumption and Waste: A Closer Look at the Impacts of Generative AI
This work highlights a critical environmental problem for AI developers and policymakers, but it is incremental as it builds on previous research without introducing new methods or data.
The paper addresses the negative environmental impacts of generative AI, specifically its contribution to digital waste through high energy consumption and CO2 emissions, and calls for urgent discussion on digital overconsumption.
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