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WASHINGTON: Environmental groups worldwide are using artificial intelligence to analyze climate data, track forest fires and count endangered wildlife \u2013 embracing a technology they also warn is driving a surge in electricity demand, water use and greenhouse-gas emissions.<\/strong><\/p>\n The contradiction is forcing these organizations to justify their AI use in carrying \u200bout missions to combat climate change or protect natural resources.<\/span><\/p>\n \u201cWe recognize that AI can come with environmental costs, and we need to be thoughtful about how we use it,\u201d said Ali Swanson, AI lead at the US \u200cnonprofit Conservation International. \u201cBut at a time when the climate and biodiversity crises are becoming more urgent, AI can help us move faster and make better use of the information we\u2019re collecting.\u201d<\/span><\/p>\n The group recently started using AI to assess hotspots detected by satellites and send real-time alerts to community forest patrols about potential wildfires in remote and environmentally sensitive parts of Cambodia.<\/span><\/p>\n Reuters interviewed 15 major environmental, conservation and development organizations about their AI use. All said they used the technology in some form and expressed concern about the environmental impact of the data centers powering it. The centers, filled with servers, can require vast amounts of \u200belectricity, along with water for cooling.<\/span><\/p>\n It\u2019s a global dilemma for individuals, governments and industries balancing AI\u2019s benefits with its enormous risks. The tradeoffs likely will grab attention at the UN\u2019s COP31 climate conference this month, when host Turkey will call on \u200bgovernments, businesses and other institutions to sign a pledge outlining principles to ensure AI is developed and deployed sustainably.<\/span><\/p>\n UN Secretary-General Antonio Guterres wants major AI companies to publicly disclose their systems\u2019 environmental impacts.<\/span><\/p>\n Researchers \u2060at the United Nations University Institute for Water, Environment and Health estimate the global data-center footprint could more than double by 2030, reaching a size about twice that of Jakarta, the Indonesian megalopolis.<\/span><\/p>\n The International Energy Agency, meanwhile, estimates global data centers will consume about \u200b945 terawatt-hours of electricity annually by 2030, producing the equivalent of more than 300 million metric tons of carbon dioxide. That\u2019s double current consumption and about equal to Japan\u2019s annual electricity use.<\/span><\/p>\n The agency also projects that global data center water consumption will increase from about 560 \u200bbillion liters (147.9 billion gallons) in 2023 to about 1.2 trillion liters (317 billion gallons) annually by 2030.<\/span><\/p>\n Technology giants including Microsoft, Amazon and Alphabet\u2019s Google have reported rising emissions linked in part to data center expansion, raising questions about their ability to meet their own long-term climate goals.<\/span><\/p>\n Amazon told Reuters its artificial-intelligence products were among the most sustainable due to the company\u2019s purchases of low-carbon energy and its efforts to use power and water efficiently.<\/span><\/p>\n Microsoft and Google didn\u2019t respond to requests for comment.<\/span><\/p>\n Many of the organizations that spoke to Reuters believe AI\u2019s benefits currently outweigh its costs because the technology is enabling work \u200bthat was previously difficult, expensive or impossible.<\/span><\/p>\n Kenya\u2019s Save the Elephants, a partner of the Wildlife Conservation Network, said it is using machine learning to improve population surveys and study elephant communication.<\/span><\/p>\n Frank Pope, the group\u2019s chief executive, said an aerial survey of Kenya\u2019s largest protected area \u200blast year generated roughly 200,000 images that took nine people nine months to review manually. AI models trained on Nvidia\u2019s GeForce graphics platforms can now complete similar analyses in hours.<\/span><\/p>\n \u201cThe results have been eye-opening,\u201d Pope said. \u201cWe found that human surveys were missing about a third of the elephants, roughly \u200chalf of zebras \u2060and giraffes, and three-quarters of oryx populations.\u201d<\/span><\/p>\n More accurate wildlife data can help secure financing for conservation, he said.<\/span><\/p>\n \u201cUltimately, these tools make nature measurable and therefore investable,\u201d he said. \u201cThat\u2019s a critical transformation, if we\u2019re going to conserve biodiversity at scale.\u201d<\/span><\/p>\n At the institute founded by the late conservation icon Jane Goodall, researchers are using AI to digitize decades of field notes about chimpanzee behavior in Tanzania\u2019s Gombe National Park.<\/span><\/p>\n The project was once expected to take 13-15 years because the records were written by hand using the local Kiha language and scientific shorthand.<\/span><\/p>\n Thanks to a tool developed with Amazon Web Services, the notes can now be scanned, translated and structured in minutes, slashing the time needed to about two years, said Lilian Pintea, the Jane Goodall Institute\u2019s vice president of conservation science.<\/span><\/p>\n During her lifetime, Pintea said, Goodall supported the use of \u200bAI to advance conservation science, provided people remained firmly in control \u200bof how it was used.<\/span><\/p>\n \u201cAI technology should be seen as \u2060tools which are human-centered,\u201d Pintea said.<\/span><\/p>\n Some organizations are experimenting with ways to limit the environmental impact of their AI use.<\/span><\/p>\n The World Resources Institute (WRI), a research group that uses AI to accelerate its climate and environmental analyses, said it limits resource-intensive applications such as generating videos and images, while caching AI query results so identical searches don\u2019t need to be reprocessed.<\/span><\/p>\n The US-based Nature Conservancy has adopted \u200ba similar approach. It uses AI to analyze video captured on commercial fishing vessels for information on how many fish of different species they catch. But instead of uploading huge numbers of \u200bvideos to centralized data centers, it has \u2060installed AI-powered digital cameras to process information aboard the vessels, reducing energy use and data-transfer requirements, said Vienna Saccomanno, a senior scientist at the organization.<\/span><\/p>\n \u201cIt takes a lot of engineering to make computation on the edge possible,\u201d she said. \u201cThis was worth it to reduce both our carbon footprint and deliver these sustainability insights.\u201d<\/span><\/p>\n Greenpeace International said it, too, uses some AI tools, mainly because software platforms it relies upon include AI features.<\/span><\/p>\n It\u2019s imposing internal guidelines emphasizing transparency, human oversight and \u201cintentional\u201d AI use, the group said. But it would prefer to sidestep the technology due to its environmental \u2060impacts and is pushing \u200bback hard on the data center buildout.<\/span><\/p>\n \u201cWhile other organizations are asking how to use AI responsibly, Greenpeace is asking whether it\u2019s necessary to build all these \u200bmassive data centers in the first place,\u201d said Katrin Xueying Wu, a climate and energy campaigner with the organization.<\/span><\/p>\n Other groups now see AI as vital to effective environmental activism.<\/span><\/p>\n \u201cIt\u2019s our job to save the planet. If we can do that more effectively and efficiently with the limited resources we\u2019ve got by using AI, then we have \u200bto seriously engage in that possibility,\u201d said Stuart Butchart, chief scientist at UK-based BirdLife International.<\/span><\/p>\nBREAKTHROUGHS ONCE THOUGHT IMPOSSIBLE<\/span><\/h2>\n
LIMITING THE ENVIRONMENTAL IMPACT<\/span><\/h2>\n