According to new research, by improving efficiency in all aspects of power generation and in society generally, artificial intelligence (AI) has the potential to reduce by up to 54 billion tonnes the annual global greenhouse emissions – due to burning fossil fuels like coal and gas – that are driving climate change, 10% of the present figure. This is after allowing for the huge quantity of energy needed to run AI computer software, widely reported as a threat to the environment. How realistic is the report’s claim, particularly since the great majority of power is still generated using fossil fuels?
Processing the quantity and variety of data needed to run AI computer software like Chat-GPT requires far more electricity than that used, for example, for task-specific computer modelling, such as to solve particular medical or scientific problems. This is because AI software is multi-purpose, ie it is designed to answer any question on any subject. Also, ‘training’ AI programmes before they can be used uses large amounts of energy. Training Open AI’s GPT-3 required enough electricity to power 120 average US households for one year, according to Carbon Brief. Recent research claimed that compared to task-specific software, AI uses up to 33 times more energy. An AI data processing centre could consume as much energy as a small town.
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