In this post I argue that attempts to reduce bias in AI decision-making face the problem of practical locality—we are limited in what we can do because the actions available to us depend on the society we find ourselves in—and the problem of epistemic locality—we are limited in what we can do because ethical views evolve over time and vary across regions. Both problems have consequences for work on AI bias, and the epistemic locality problem highlights the important links between AI bia...
