Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems. (arXiv:2203.09911v1 [cs.LG])

This paper stresses the importance of biases in the field of artificial
intelligence (AI) in two regards. First, in order to foster efficient
algorithmic decision-making in complex, unstable, and uncertain real-world
environments, we argue for the structurewise implementation of human cognitive
biases in learning algorithms. Secondly, we argue that in order to achieve
ethical machine behavior, filter mechanisms have to be applied for selecting
biased training stimuli that represent social or behavioral traits that are
ethically desirable. We use insights …

ai ai systems arxiv biases cognitive machine systems