Environmental Impact Of Artificial Intelligence
The environmental impact of artificial intelligence includes substantial energy consumption for training and using deep learning models, and the related carbon footprint and water usage. Some scientists have suggested that artificial intelligence (AI) may also provide solutions to environmental problems. Carbon footprint AI has a significant carbon footprint due to growing energy usage, especially due to training and usage. Researchers have argued that the carbon footprint of AI models during training should be considered when attempting to understand the impact of AI. One study suggested that by 2027, energy costs for AI could increase to 85–134 Twh, nearly 0.5% of all current electricity usage. Training Large language model, large language models (LLMs) and other Generative artificial intelligence, generative AI generally requires much more energy compared to running a single prediction on the trained model. Using a trained model repeatedly, though, may easily multiply the e ...
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