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AI has a big, dirty problem that is tarnishing Big Tech's environmental image

Sep 02, 2023 - businessinsider.com
The environmental impact of AI computing is becoming a growing concern as industry giants like Microsoft, Amazon, Google, and Meta develop and deploy AI capabilities. The power-hungry GPUs used to train models and the new data centers consume large amounts of electricity and water, with Amazon's data center in north Virginia using more electricity than Seattle's entire grid and Google's data centers consuming 5.2 billion gallons of water in 2022. Despite tech companies' efforts to offset this environmental burden, Adrienne Russell, co-director of the Center for Journalism, Media, and Democracy at the University of Washington, argues that the tech industry's efforts to make digital innovation seem compatible with sustainability are mostly clever marketing.

Russell suggests that a better approach would be to focus on more sustainable innovations, such as mesh networks and indigenous data privacy initiatives. These initiatives allow communities to set up data privacy controls and internet connectivity on their own terms, reducing reliance on big tech companies. She believes that by highlighting examples of sustainable technology design, it's possible to critique and imagine alternatives to the large, environmentally and socially unsustainable technologies currently in use.

Key takeaways:

  • AI computing is becoming an environmental hazard due to the high power and water consumption of data centers and GPUs used to train models.
  • Major tech companies like Microsoft, Amazon, Google, and Meta are trying to offset this environmental impact with sustainability programs, but these are mostly seen as clever marketing.
  • Adrienne Russell, co-director of the Center for Journalism, Media, and Democracy at the University of Washington, suggests that the tech industry's portrayal of digital innovation as compatible with sustainability is misleading.
  • Russell proposes focusing on more sustainable innovations like mesh networks and indigenous data privacy initiatives, which allow communities to set up data privacy controls and internet connectivity on their own terms.
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