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In Nepal, AI builds on local knowledge to help prevent tiger attacks

20 October 2026 at 09:00
KATHMANDU β€” Bhadai Tharu says he still remembers the day a tiger attacked him. It was around 1 p.m. on Jan. 6, 2004. The encounter left him blind in his left eye. More than two decades later, the 59-year-old doesn’t speak ill of the animal that attacked him. β€œWhen incidents, like the one I was involved in, happen, people get angry,” says Tharu, who is now chair of the Gauri Community Forest on the fringes of Bardiya National Park, a global hotspot for the endangered big cats. β€œTigers have their role in the ecosystem, and both people and tigers should coexist,” Tharu says. His perspective comes as Nepal’s tiger population reaches a record 429 individuals, with Bardiya alone hosting 112. To avoid human-tiger encounters such as the one Tharu experienced, researchers turned to a survival skill long practiced by local people: listening to the forest. And for a while, at least, it seemed to have worked. The pilot project, documented in a recently published study, tested an artificial intelligence-powered system that β€œlistens” to alarm calls from chital deer (Axis axis) and maps areas where tigers (Panthera tigris) or leopards (Panthera pardus) may be present and that humans should avoid. A chital deer in Bardiya National Park. The pilot project tested an AI-powered system that β€œlistens” to alarm calls from chital deer. Image by Sunuwargr via Wikimedia Commons (CC BY-SA 4.0). A forest that speaks Long before researchers arrived with sensors and machine-learning models, Indigenous communities in Bardiya had already been…This article was originally published on Mongabay

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