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. 3 , pp. 1021-1023 . https://doi.org/10.1007/s43681-022-00255-4
Publication
AI & Ethics Journal
Status
Peer reviewed
ISSN
2730-5961Type
Journal item
Collections
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