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Soares, J. C., Limongi, R., De Sousa Júnior, J. H., Santos, W. S., Raasch, M., & Hoeckesfeld, L. (2023). Assessing the Effects of Covid-19-Related Risk on Online Shopping Behavior. Journal of Marketing Analytics, 11, 82-94.
https://doi.org/10.1057/s41270-022-00156-9

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• TITLE: The Hidden Cost of AI: Unveiling and Addressing the Environmental Impact of Digital Consumption

  AUTHORS: Xiaotang Wang

  KEYWORDS: Artificial Intelligence, Environmental Reform, Data Centers and Energy Consumption

  JOURNAL NAME: Open Journal of Social Sciences, Vol.12 No.11, November 28, 2024

  ABSTRACT: Artificial intelligence (AI) has become an integral part of modern society, influencing every aspect of people’s lives, from education, to business, to healthcare, to name a few. However, the widespread adoption of AI carries an environmental cost, as training and using AI generates a significant carbon footprint. The environmental cost of AI should not be disregarded, as the use of AI is increasing exponentially. Yet, in this research I argue that AI users do not seem to recognize this problem. I discuss reasons as to why users might underestimate the carbon footprint of AI. And I highlight possible solutions to this pressing problem. I believe that with more research and collaboration, progress can be made toward reducing the environmental impact of AI.