The article discusses the environmental implications of artificial intelligence (AI), particularly its substantial energy and water consumption in data centers. With AI systems expected to account for a significant percentage of global electricity usage, experts Zorina Alliata and Hara Gavriliadi highlighted the urgent need for sustainable AI practices. They advocate for energy-efficient technologies, optimization techniques, and responsible practices to balance AI's rapid growth with its environmental impact. Their insights reveal the pressing challenge of addressing resource demands as AI becomes more integrated into daily life.
The energy and water usage depend on the particular AI system, its size, and deployment method; AI's water usage for cooling is significant, with a single AI conversation using up to 500ml of water.
Sustainable AI focuses on the long-term effects of AI, including environmental and societal effects, emphasizing techniques such as sparse modeling and hardware optimization.
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