What can we do—and what should we do—to fight against bias? This final chapter introduces empirically-tested interventions for combating implicit (and explicit) bias and promoting a fairer world, from small daily-life debiasing tricks to larger structural interventions. Along the way, this chapter raises a range of moral, political, and strategic questions about these interventions. This chapter further stresses the importance of admitting that we don’t have all the answers. We should be humble about how much we still don’t know and (...) dedicate efforts to gathering as much knowledge as possible. Even so, we know enough now to start making a difference, and this chapter ultimately aims to chip away at the gap between our abstract commitments to treat people fairly and our lived habits and experiences, which continue to be shaped by implicit and explicit prejudices and stereotypes about race, gender, and other social categories. (shrink)

Written by a diverse range of scholars, this accessible introductory volume asks: What is implicit bias? How does implicit bias compromise our knowledge of others and social reality? How does implicit bias affect us, as individuals and participants in larger social and political institutions, and what can we do to combat biases? An interdisciplinary enterprise, the volume brings together the philosophical perspective of the humanities with the perspective of the social sciences to develop rich lines of inquiry. It is written (...) in a non-technical style, using relatable examples that help readers understand what implicit bias is, its significance, and the controversies surrounding it. Each chapter includes discussion questions and additional reading suggestions. A companion webpage contains teaching resources. The volume will be an invaluable resource for students—and researchers—seeking to understand criticisms surrounding implicit bias, as well as how one might answer them by adopting a more nuanced understanding of bias and its role in maintaining social injustice. (shrink)

In recruitment, promotion, admission, and other forms of wealth and power apportion, an evaluator typically ranks a set of candidates in terms of their perceived competence. If the evaluator is prejudiced, the resulting ranking will misrepresent the candidates’ actual ranking. This constitutes not only a moral and a practical problem, but also an epistemological one, which begs the question of what we should do – epistemologically – to mitigate it. The article is an attempt to begin to answer this question. (...) I first explore the presuppositions that must obtain for individual interventions to likely yield positive epistemological effects in ranking situations. I then compare these with the corresponding presuppositions of a novel, ‘post hoc’ approach to deprejudicing due to Jönsson and Sjödahl (Episteme 14(4):499–517, 2017), which does not attempt to change evaluators but attempts to increase the veracity of the rankings they produce after the fact (but before the rankings give rise to discriminatory effects) using statistical methods. With these two sets of presuppositions in place, I describe the limitations imposed by each presupposition on its intervention, compare presuppositions across the two kinds of interventions, and conclude that the two kinds of interventions importantly complement each other by having fairly disjoint, but non–conflicting, presuppositions. The post hoc intervention can thus complement an individual intervention (and vice versa) in situations where both are applicable (by adding further increases in veracity), but also by applying to situations where that intervention is not applicable (and thereby increase veracity in situations beyond the reach of that intervention). (shrink)

In spite of our good intentions and explicit egalitarian convictions, we habitually disfavor the underprivileged. The rapidly growing literature on implicit bias – unconscious, automatic tendencies to associate negative traits with members of particular social groups – points towards explanations of this dissonance, although rarely towards generalizable solutions. In a recent paper, Jennifer Saul draws attention to the alarming epistemological problems that implicit bias carries with it; since our judgments about each other are likely influenced by implicit bias, we have (...) good reason to doubt their veracity. In this paper we explore a novel way to come to terms with the epistemological problem as it manifests itself in ranking situations, i.e. how we can know that the way in which we have ranked a group of people for a certain position, reflects their actual competence. On our approach, rather than attempting to make people less biased, we suggest that biased behavior can sometimes be corrected after the fact. In particular, the veracity of rankings can sometimes be improved by modifying the rankings directly. We investigate three methods that modify biased rankings, and argue that the last of these solves the epistemological problem that we are concerned with. (shrink)