  A growing number of oversight boards and regulatory bodies seek to monitor
and govern algorithms that make decisions about people's lives. Prior work has
explored how people believe algorithmic decisions should be made, but there is
little understanding of how individual factors like sociodemographics or direct
experience with a decision-making scenario may affect their ethical views. We
take a step toward filling this gap by exploring how people's perceptions of
one aspect of procedural algorithmic fairness (the fairness of using particular
features in an algorithmic decision) relate to their (i) demographics (age,
education, gender, race, political views) and (ii) personal experiences with
the algorithmic decision-making scenario. We find that political views and
personal experience with the algorithmic decision context significantly
influence perceptions about the fairness of using different features for bail
decision-making. Drawing on our results, we discuss the implications for
stakeholder engagement and algorithmic oversight including the need to consider
multiple dimensions of diversity in composing oversight and regulatory bodies.
