Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals. (arXiv:2202.10848v1 [cs.LG])

Massive efforts are made to reduce biases in both data and algorithms in
order to render AI applications fair. These efforts are propelled by various
high-profile cases where biased algorithmic decision-making caused harm to
women, people of color, minorities, etc. However, the AI fairness field still
succumbs to a blind spot, namely its insensitivity to discrimination against
animals. This paper is the first to describe the 'speciesist bias' and
investigate it in several different AI systems. Speciesist biases are learned …

ai ai applications animals applications arxiv bias bias in ai