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Heikkilä, M. (2023). Making an Image with Generative AI Uses as Much Energy as Charging Your Phone.
https://www.technologyreview.com/2023/12/01/1084189/making-an-image-with-generative-ai-uses-as-much-energy-as-charging-your-phone/

has been cited by the following article:

• 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.