One of the pillars of responsible artificial intelligence (AI) is sustainability. But since one of the major points of implementing AI is to reduce the human engagement factor, isn’t it already as sustainable as it can be? The answer, no.
Linh C. Ho, Chief Marketing Officer at Zelros says, “AI usage has been growing year after year in many sectors, this is particularly true for insurance and financial services, where the rate of AI adoption is the highest among all industries, up more than 37% in one year according to a report from KPMG.”
With more and more services relying on AI solutions to solve problems and to execute tasks, the power consumption across the board is increasing. However, not all power and how it originates is equal when looking at the board.
Linh goes on to say, “CPU and GPU processors are now designed specifically for more and more demanding machine learning tasks. The environmental impact of this is significant, and is not getting lower anytime soon. Depending on where the servers are located, the carbon equivalent for the electricity used to power it will be different. Choosing a localisation in a country with a better carbon footprint, for example coal versus renewable energy sources, can help industries, like the insurance industry to be more efficient, while also contributing to combat climate change.
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