Apropos of “Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals”
Abstract
The present comment concerns a recent AI & Ethics article which purports to report evidence of speciesist bias in various popular computer vision (CV) and natural language processing (NLP) machine learning models described in the literature. I examine the authors’ analysis and show it, ironically, to be prejudicial, often being founded on poorly conceived assumptions and suffering from fallacious and insufficiently rigorous reasoning, its appeal in large part relying on the extant consensus in the community.
Citation
Arandelovic , O 2023 , ' Apropos of “Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals” ' , AI & Ethics Journal , vol. First Online . https://doi.org/10.1007/s43681-022-00255-4
Publication
AI & Ethics Journal
Status
Peer reviewed
ISSN
2730-5961Type
Journal item
Rights
Copyright © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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