  Many fairness criteria constrain the policy or choice of predictors. In this
work, we propose a different framework for thinking about fairness: Instead of
constraining the policy or choice of predictors, we consider which utility a
policy is optimizing for. We define value of information fairness and propose
to not use utilities that do not satisfy this criterion. We describe how to
modify a utility to satisfy this fairness criterion and discuss the
consequences this might have on the corresponding optimal policies.
