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The potential for AI to revolutionize conservation: a horizon scan.

Authors :
Reynolds SA
Beery S
Burgess N
Burgman M
Butchart SHM
Cooke SJ
Coomes D
Danielsen F
Di Minin E
Durán AP
Gassert F
Hinsley A
Jaffer S
Jones JPG
Li BV
Mac Aodha O
Madhavapeddy A
O'Donnell SAL
Oxbury WM
Peck L
Pettorelli N
Rodríguez JP
Shuckburgh E
Strassburg B
Yamashita H
Miao Z
Sutherland WJ
Source :
Trends in ecology & evolution [Trends Ecol Evol] 2024 Dec 17. Date of Electronic Publication: 2024 Dec 17.
Publication Year :
2024
Publisher :
Ahead of Print

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.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1872-8383
Database :
MEDLINE
Journal :
Trends in ecology & evolution
Publication Type :
Academic Journal
Accession number :
39694720
Full Text :
https://doi.org/10.1016/j.tree.2024.11.013