Anthropocentrism and environmental wellbeing in AI ethics standards: a scoping review and discussion
Anthropocentrism and environmental wellbeing in AI ethics standards: a scoping review and discussion
As AI deployment has broadened, so too has an awareness for the ethical implications and problems that may ensue from this deployment. In response, groups across multiple domains have issued AI ethics standards that rely on vague, high-level principles to find consensus. One such high-level principle that is common across the AI landscape is ‘human-centredness’, though oftentimes it is applied without due investigation into its merits and limitations and without a clear, common definition. This paper undertakes a scoping review of AI ethics standards to examine the commitment to ‘human-centredness’ and how this commitment interacts with other ethical concerns, namely, concerns for nonhumans animals and environmental wellbeing. We found that human-centred AI ethics standards tend to prioritise humans over nonhumans more so than nonhuman-centred standards. A critical analysis of our findings suggests that a commitment to human-centredness within AI ethics standards accords with the definition of anthropocentrism in moral philosophy: that humans have, at least, more intrinsic moral value than nonhumans. We consider some of the limitations of anthropocentric AI ethics, which include permitting harm to the environment and animals and undermining the stability of ecosystems.
AI ethics, AI ethics standards, anthropocentrism, environmental ethics, human-centred AI, scoping review
844-874
Rigley, Eryn
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Chapman, Adriane
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Evers, Christine
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Mcneill, Will
be33c4df-0f0e-42bf-8b9b-3c0afe8cb69e
December 2023
Rigley, Eryn
713d79b1-a53a-44c4-a52a-1b5b46827f68
Chapman, Adriane
721b7321-8904-4be2-9b01-876c430743f1
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Mcneill, Will
be33c4df-0f0e-42bf-8b9b-3c0afe8cb69e
Rigley, Eryn, Chapman, Adriane, Evers, Christine and Mcneill, Will
(2023)
Anthropocentrism and environmental wellbeing in AI ethics standards: a scoping review and discussion.
AI, 4 (4), .
(doi:10.3390/ai4040043).
Abstract
As AI deployment has broadened, so too has an awareness for the ethical implications and problems that may ensue from this deployment. In response, groups across multiple domains have issued AI ethics standards that rely on vague, high-level principles to find consensus. One such high-level principle that is common across the AI landscape is ‘human-centredness’, though oftentimes it is applied without due investigation into its merits and limitations and without a clear, common definition. This paper undertakes a scoping review of AI ethics standards to examine the commitment to ‘human-centredness’ and how this commitment interacts with other ethical concerns, namely, concerns for nonhumans animals and environmental wellbeing. We found that human-centred AI ethics standards tend to prioritise humans over nonhumans more so than nonhuman-centred standards. A critical analysis of our findings suggests that a commitment to human-centredness within AI ethics standards accords with the definition of anthropocentrism in moral philosophy: that humans have, at least, more intrinsic moral value than nonhumans. We consider some of the limitations of anthropocentric AI ethics, which include permitting harm to the environment and animals and undermining the stability of ecosystems.
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ai-04-00043
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Accepted/In Press date: 2023
Published date: December 2023
Additional Information:
Funding Information:
This work was funded in part by UKRI Trusted Autonomous Systems Hub (EP/V00784X/1) and NIHR Southampton Biomedical Research centre (IS-BRC-1215-20004). The authors would also like to acknowledge support from the Defence and Security Programme at the Alan Turing Institute, funded by the UK Government.
Publisher Copyright:
© 2023 by the authors.
Keywords:
AI ethics, AI ethics standards, anthropocentrism, environmental ethics, human-centred AI, scoping review
Identifiers
Local EPrints ID: 482504
URI: http://eprints.soton.ac.uk/id/eprint/482504
ISSN: 2673-2688
PURE UUID: 80fd3187-2dc5-406b-8ec4-c5fd572741f1
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Date deposited: 10 Oct 2023 16:31
Last modified: 18 Mar 2024 03:56
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Author:
Eryn Rigley
Author:
Christine Evers
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