In which the (generally ignored) social and environmental impacts of generative artificial intelligence are discussed. Hardware (GPUs) and operations require huge amounts of minerals, energy, and water, followed by subsequent e-waste. Social impacts include noise, real estate space, electricity prices, and mining impacts. Authors recommend better quantification (transdisciplinary) of the lifecycle impacts and political and regulatory pressure to ensure these disclosures.
25/ #365papers
A social-environmental impact perspective of generative artificial intelligence
https://linkinghub.elsevier.com/retrieve/pii/S2666498424001340
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