AI has an environmental problem
1 month, 1 week ago

AI has an environmental problem

The Hindu  

AI has become an indispensable part of our lives, transforming how we work, live, and do business. Impact across stages The environmental impact of AI arises across several stages of its value chain, including energy consumption from infrastructure, computing hardware production, cloud data centre operations, AI model training, inferencing, validation, and related processes. In terms of hardware, data centres, the backbone of AI operations, contribute 1% of global greenhouse gas emissions, according to the International Energy Agency. Generative AI models like ChatGPT, which rely on sophisticated machine learning techniques, require 10–100 times more computing power than earlier versions, further driving demand for graphic processing units and worsening the environmental footprint. AI’s software life cycle emissions arise from processes like data collection, model development, training, validation, maintenance and retirement, and are equally concerning.

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