2021
DOI: 10.1007/s00146-021-01285-y
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Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda

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Cited by 14 publications
(2 citation statements)
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“…Nevertheless, we believe that these relations between artificial knowledge, digital media, sensing infrastructure, geographic locations and diverse peoples, offer important challenges to our future understanding of forests and of science in this era of climate crisis. At a time of growing public concern about the consequences that AI technologies may have for education, public discourse and the creative professions in the West, African thinkers suggest that ecological conservation should itself be considered as another fundamental element of AI ethics (Nandutu, Atemkeng and Okouma 2023). We should also be alert to the fact that some Western "ethical" fears for AI, such as the pseudo-Christian eschatology of a messianic Singularity (Bostrom 2014;Davis 2015), may themselves be considerably less rational than the science of African forests (Wiredu 1976(Wiredu /1997.…”
Section: Toward Data Science In the Futurementioning
confidence: 99%
“…Nevertheless, we believe that these relations between artificial knowledge, digital media, sensing infrastructure, geographic locations and diverse peoples, offer important challenges to our future understanding of forests and of science in this era of climate crisis. At a time of growing public concern about the consequences that AI technologies may have for education, public discourse and the creative professions in the West, African thinkers suggest that ecological conservation should itself be considered as another fundamental element of AI ethics (Nandutu, Atemkeng and Okouma 2023). We should also be alert to the fact that some Western "ethical" fears for AI, such as the pseudo-Christian eschatology of a messianic Singularity (Bostrom 2014;Davis 2015), may themselves be considerably less rational than the science of African forests (Wiredu 1976(Wiredu /1997.…”
Section: Toward Data Science In the Futurementioning
confidence: 99%
“…AI technologies, including machine vision and natural language processing, analyze vast online content to identify and combat illegal wildlife trade networks. Moreover, AI-driven surveillance systems equipped with facial recognition capabilities assist law enforcement in apprehending poachers and traffickers, serving as a deterrent to illicit activities 22 .…”
Section: Ai Applications In Combating Illegal Hunting and Illicit Tra...mentioning
confidence: 99%