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Tech Life

Charting the true cost of AI

Aug 29, 2023
Guests include academic researcher Kate Crawford discussing the true cost of AI, reporter Chris Vallance on DeepMind's watermark system for AI-generated images, Mansoor Hamayun on the smart cooking valve in Rwanda, and Fu’ad Lawal on archiving Nigeria's newspapers. Topics include environmental impact of AI, gas canister system for affordable fuel, preserving Nigerian history through digitizing newspapers, and the impact of policy and cultural expression in AI.
27:18

Podcast summary created with Snipd AI

Quick takeaways

  • AI systems have a significant environmental footprint due to their high energy and water consumption, as well as reliance on data and hidden labor.
  • DeepMind has developed a watermark tool to identify AI-generated images, addressing concerns of misinformation and protecting the originality of human-created designs.

Deep dives

The Environmental Impact of AI: Energy, Data, and Mineral Extraction

One of the main concerns regarding artificial intelligence is its environmental impact. Large-scale AI systems, such as GPT, consume an enormous amount of energy, making them up to a thousand times more energy-intensive than traditional search engines. Additionally, the conversation with AI systems like GPT requires a significant amount of water, equivalent to pouring a full liter onto the ground. Moreover, AI's reliance on data and hidden labor further adds to its environmental cost. These systems extract large amounts of data from users, employ crowdsourced workers for labeling and cleaning datasets, and require vast electricity and water resources for their operations. As AI technology rapidly becomes a part of everyday life, it is crucial to examine and address its extensive environmental footprint.

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