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Responsible AI for conservation

Wearn, O; Freeman, R; Jacoby, D; (2019) Responsible AI for conservation. [Letter]. Nature Machine Intelligence , 1 pp. 72-73. 10.1038/s42256-019-0022-7. Green open access

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Abstract

Artificial intelligence (AI) promises to be an invaluable tool for nature conservation, but its misuse could have severe real-world consequences for people and wildlife. Conservation scientists discuss how improved metrics and ethical oversight can mitigate these risks.

Type: Article
Title: Responsible AI for conservation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s42256-019-0022-7
Publisher version: https://doi.org/10.1038/s42256-019-0022-7
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Conservation biology, Data mining, Data processing, Machine learning
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10065664
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