Apropos of “Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals”

Oggie Arandelovic*

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

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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.
Original languageEnglish
Pages (from-to)1021-1023
Number of pages3
JournalAI & Ethics Journal
Volume3
Early online date9 Jan 2023
DOIs
Publication statusPublished - 1 Aug 2023

Keywords

  • Fairness
  • Value of life
  • Exploitation
  • Computer vision
  • Machine learning

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