The potential for AI to revolutionize conservation : a horizon scan

Reynolds, Sam A and Beery, Sara and Burgess, Neil and Burgman, Mark and Butchart, Stuart H M and Cooke, Steven J and Coomes, David and Danielsen, Finn and Di Minin, Enrico and Durán, América Paz and Gassert, Francis and Hinsley, Amy and Jaffer, Sadiq and Jones, Julia P G and Li, Binbin V and Mac Aodha, Oisin and Madhavapeddy, Anil and O'Donnell, Stephanie A L and Oxbury, William M and Peck, Lloyd and Pettorelli, Nathalie and Rodríguez, Jon Paul and Shuckburgh, Emily and Strassburg, Bernardo and Yamashita, Hiromi and Miao, Zhongqi and Sutherland, William J (2024) The potential for AI to revolutionize conservation : a horizon scan. Trends in Ecology and Evolution. ISSN 0169-5347 (In Press)

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Abstract

Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation scientists and AI experts identified 21 key ideas. These included species recognition to uncover 'dark diversity', multimodal models to improve biodiversity loss predictions, monitoring wildlife trade, and addressing human-wildlife conflict. We consider the potential negative impacts of AI adoption, such as AI colonialism and loss of essential conservation skills, and suggest how the conservation field might adapt to harness the benefits of AI while mitigating its risks.

Item Type:
Journal Article
Journal or Publication Title:
Trends in Ecology and Evolution
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1100/1105
Subjects:
?? delphiartificial intelligencebiodiversitymachine learningconservationecology, evolution, behavior and systematics ??
ID Code:
226679
Deposited By:
Deposited On:
07 Jan 2025 11:25
Refereed?:
Yes
Published?:
In Press
Last Modified:
16 Jan 2025 15:35