YAMASHITA Hiromi    Department   Ritsumeikan Asia Pacific University  College of Asia Pacific Studies    Position   Professor
Language	English
Publication Date	2025
Type	Research paper
Peer Review	Peer reviewed
Title	Reynolds, S.A., Beery, S., Burgess, N., Burgman, M., Butchart, S.H., Cooke, S.J., Coomes, D., Danielsen, F., Di Minin, E., Durán, A.P., Gassert, F., Hinsley, A., Jaffer, S., Jones, J.P.G., Li, B.V., Aodha, O.M., Madhavapeddy, A., O'Donnell, S.A.L., Oxbury, W.M., Peck, L., Pettorelli, N., Rodriquez, J.P., Shuckburgh, E., Strassburg, B., Yamashita, H., Miao, Z., Sutherland, W.J. (2025) The potential for AI to revolutionize conservation: a horizon scan
Contribution Type	Joint Work
Journal	Trends in Ecology & Evolution
Journal Type	Another Country
Volume, Issue, Page	in press,pp.1-17
Total page number	17
Details	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.
URL for researchmap	https://www.cell.com/trends/ecology-evolution/fulltext/S0169-5347(24)00286-6?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0169534724002866%3Fshowall%3Dtrue