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Environmental Groups Embrace AI, Even as They Warn of Data Center Impacts
WASHINGTON, Nov 7 (Reuters) - Environmental groups worldwide are using artificial intelligence to analyze climate data, track forest fires and count endangered wildlife - embracing a technology they also warn is driving a surge in electricity demand, water use and greenhouse-gas emissions. The
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Environmental groups embrace AI, even as they warn of data center impacts
Environmental organisations are increasingly leveraging artificial intelligence to enhance conservation efforts and analyze ecological data. Many express concerns about the environmental impact caused by data centers that support AI technologies. The energy and water consumption of these centers is
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Environmental groups turn to AI despite concerns over data center emissions By Investing.com
Investing.com -- Conservation organizations are turning to artificial intelligence to monitor wildlife, detect wildfires, and process environmental research, even as the technology's growing energy and water demands complicate their climate goals. Environmental groups are confronting a tradeoff as
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Environmental organizations worldwide are deploying AI to track endangered wildlife, detect wildfires, and analyze climate data. Yet they acknowledge a troubling contradiction: the same technology accelerating their conservation work is driving unprecedented energy consumption and water use through expanding data centers.
Environmental groups worldwide face a complex dilemma as they increasingly deploy AI to analyze climate data, track forest fires, and count endangered wildlife while simultaneously warning about the technology's escalating environmental footprint
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. This contradiction is forcing conservation organizations to justify their AI use while pursuing missions to combat climate change and protect natural resources.Ali Swanson, AI lead at Conservation International, acknowledges the tension: "We recognize that AI can come with environmental costs, and we need to be thoughtful about how we use it. But 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're collecting"
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. Conservation International recently deployed AI for wildfire detection to assess satellite-detected hotspots and send real-time alerts to community forest patrols in remote parts of Cambodia2
.The International Energy Agency projects that global data centers will consume about 945 terawatt-hours of electricity annually by 2030, producing the equivalent of more than 300 million metric tons of carbon dioxide
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. This represents double current consumption and roughly equals Japan's annual electricity use2
. Water consumption presents an equally stark challenge, with projections showing an increase from about 560 billion liters in 2023 to about 1.2 trillion liters annually by 20301
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.Researchers at 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
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. Technology giants including Microsoft, Amazon, and Alphabet's Google have reported rising emissions linked to data center expansion, raising questions about their ability to meet long-term climate goals1
.All 15 major environmental, conservation, and development organizations interviewed said they used AI in some form while expressing concern about data center impacts
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. Many believe AI's benefits currently outweigh its costs because the technology enables work previously considered difficult, expensive, or impossible.Save the Elephants in Kenya uses machine learning to improve population surveys and study elephant communication. Frank Pope, the group's chief executive, reported that an aerial survey of Kenya's largest protected area last year generated roughly 200,000 images that took nine people nine months to review manually
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. AI models trained on Nvidia's GeForce graphics platforms now complete similar analyses in hours2
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.Pope noted the results were "eye-opening," revealing that human surveys were missing about a third of elephants, roughly half of zebras and giraffes, and three-quarters of oryx populations
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. He emphasized that more accurate wildlife data helps secure conservation financing: "Ultimately, these tools make nature measurable and therefore investable. That's a critical transformation if we're going to conserve biodiversity at scale"2
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The Jane Goodall Institute is using Amazon Web Services technology to digitize decades of field notes about chimpanzee behavior in Tanzania's Gombe National Park
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. The project was once expected to take 13-15 years because records were written by hand using the local Kiha language and scientific shorthand2
. Thanks to AI tools, notes can now be scanned, translated, and structured in minutes, slashing completion time to approximately two years1
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.This global dilemma balancing AI's benefits with its environmental risks will likely grab attention at the UN's COP31 climate conference this month
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. Host Turkey will call on governments, businesses, and other institutions to sign a pledge outlining principles to ensure sustainable AI development and deployment2
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. UN Secretary-General Antonio Guterres wants major AI companies to publicly disclose their systems' environmental impacts1
.Amazon stated its artificial-intelligence products were among the most sustainable due to the company's purchases of low-carbon energy and efforts to use power and water efficiently
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. Microsoft and Google did not respond to requests for comment2
. Organizations like the World Resources Institute are limiting intensive image and video generation and reusing previously processed AI results to curb unnecessary computing3
. Greenpeace remains skeptical of expanding data center infrastructure, reflecting divisions over whether AI's conservation benefits justify AI's environmental footprint3
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