Translation. Region: Russian Federal
Source: State University Higher School of Economics – State University Higher School of Economics –
Artificial intelligence is transforming all areas of life, expanding our capabilities and boundaries. At the same time, technology is throwing up new challenges to humanity related to safety, ethics, and environmental protection. Today, every neural network leaves behind a large carbon footprint. However, with proper management, AI can benefit the planet and become the key to a sustainable economy of the future. This was explained by the scientific directorLaboratory of Algorithms and Technologies for Network Structure Analysis at the National Research University Higher School of Economics in Nizhny Novgorod Panos Pardalos in the framework XXV Yasinsky (April) International Scientific Conference on Problems of Economic and Social Development.
Today, the world is experiencing the fourth industrial revolution, the main character of which is artificial intelligence. Like electricity during the last revolution, AI has taken a dominant position among all technologies. Many countries, such as the United States, China, France, Canada, etc., have included the development of machine learning technologies among their national priorities, thereby emphasizing the importance and prospects of this area.
“We talk a lot about artificial intelligence today. It’s amazing how much technology has expanded our biological capabilities in the field of vision, hearing, our cognitive abilities. I think it would be more correct to call these developments not artificial intelligence, but augmented intelligence,” said Panos Pardalos. “Telescopes, sensors, brain-computer interfaces, the metaverse, ChatGPT — all these impressive achievements are based on complex mathematics and optimization algorithms.”
According to Professor Pardalos, the widespread adoption of technology and automation, on the one hand, can bring enormous benefits to the global economy and welfare, but on the other hand, it is associated with serious problems in terms of resource use. For example, machine learning technologies are associated with colossal amounts of energy consumption.
“We often forget the price we pay for technology. Machine learning algorithms have incredible computing power, but they require equally incredible amounts of electricity. The carbon footprint of training a single model is comparable to the emissions of several cars over their entire service life,” the researcher emphasized.
Other problems highlighted by the scientist include recycling electronic equipment and mining rare earth metals. The metals themselves are necessary for the production of green technologies (electric vehicle engines, wind generators, energy-saving lamps), but their mining is not environmentally friendly and is detrimental to the environment.
According to dataresearch 2023, the Earth has already crossed 7 of 8 possible boundaries of safe human life on it, including emissions of hazardous substances into the atmosphere, reduction of biodiversity, climate change, etc. At the same time, Panos Pardalos believes that it is artificial intelligence that can become the key to a sustainable economy of the future.
“We already have all the necessary technologies for developing a sustainable economy, and with the right policy, AI can become a key factor in the transition to it. The use of nuclear and renewable energy, waste recycling, digital twins of enterprises, the creation of energy storage facilities, the development of new materials – all this is possible today. Of course, the price of implementing new solutions is quite high. Political will and a number of educational, enlightening measures are needed to use the opportunities that AI gives us with maximum benefit,” concluded Panos Pardalos.
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