ヤマシタ ヒロミ   YAMASHITA Hiromi   山下 博美    所属   立命館アジア太平洋大学  アジア太平洋学部    職種   教授
言語種別	英語
発行・発表の年月	2025
形態種別	学術論文
査読	査読あり
標題	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
執筆形態	共著
掲載誌名	Trends in Ecology & Evolution
掲載区分	国外
巻・号・頁	in press,pp.1-17
総ページ数	17
概要	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.
researchmap用URL	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