A microaggression is a small insulting act made disproportionately harmful by its part in an oppressive pattern of similar insults. How should you respond when made the victim of a microaggression? In this paper I survey several morally salient factors, including effects upon victims, perpetrators, and third parties. I argue, contrary to popular views, that ‘growing a thicker skin’ is not good advice nor is expressing reasonable anger always the best way to contribute to confronting oppression. Instead, appropriately responding to (...) microaggression involves difficult application of practical wisdom that does not easily fall under a simple prescription. (shrink)

Many legal, social, and medical theorists and practitioners, as well as lay people, seem to be concerned with the harmfulness of discriminative practices. However, the philosophical literature on the moral wrongness of discrimination, with a few exceptions, does not focus on harm. In this paper, I examine, and improve, a recent account of wrongful discrimination, which divides into a definition of group discrimination, and a characterisation of its moral wrong-making feature in terms of harm. The resulting account analyses the wrongness (...) of discrimination in terms of intrapersonal comparisons of the discriminatee’s actual, and relevantly counterfactual, well-being levels. I show that the account faces problems from counterfactuals, which can be traced back specifically to the orthodox - comparative, counterfactual, welfarist - concept of harm. I argue that non-counterfactual and non-comparative harm concepts face problems of their own, and don’t fit easily with our best understanding of discrimination; hence they are unsuitable to replace the orthodox concept here. I then propose a non-orthodox - comparative, counterfactual, hybrid - concept of harm, which relies on counterfactual comparisons of ways of being treated. I suggest how such a concept can help us handle the problems from counterfactuals, at least for my account of discrimination. I also show that there are similar proposals in other harm-related debates. An upshot of the paper is thus to corroborate the case for a non-orthodox, hybrid concept of harm, which seems better able to fulfil its functional roles in a variety of contexts. (shrink)

Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior on the other. Twenty years of research and several meta-analyses later, however, we have to conclude that neither the IAT nor its derivatives have fulfilled these expectations. Their predictive value for behavioral criteria is weak and their incremental validity over and above self-report (...) measures is negligible. In our review, we present an overview of explanations for these unsatisfactory findings and delineate promising ways forward. Over the years, several reasons for the IAT’s weak predictive validity have been proposed. They point to four potentially problematic features: First, the IAT is by no means a pure measure of individual differences in associations but suffers from extraneous influences like recoding. Hence, the predictive validity of IAT-scores should not be confused with the predictive validity of associations. Second, with the IAT, we usually aim to measure evaluation (“liking”) instead of motivation (“wanting”). Yet, behavior might be determined much more often by the latter than the former. Third, the IAT focuses on measuring associations instead of propositional beliefs and thus taps into a construct that might be too unspecific to account for behavior. Finally, studies on predictive validity are often characterized by a mismatch between predictor and criterion (e.g., while behavior is highly context-specific, the IAT usually takes into account neither situation nor domain). Recent research, however, also revealed advances addressing each of these problems, namely (1) procedural and analytical advances to control for recoding in the IAT, (2) measurement procedures to assess implicit wanting, (3) measurement procedures to assess implicit beliefs, and (4) approaches to increase the fit between implicit measures and behavioral criteria (e.g., by incorporating contextual information). Implicit measures like the IAT hold an enormous potential. In order to allow them to fulfill this potential, however, we have to refine our understanding of these measures, and we should incorporate recent conceptual and methodological advancements. This review provides specific recommendations on how to do so. (shrink)

The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated by counterconditioning (...) or extinction but should not be modulated by rational argumentation or logical interventions. This hypothesis is false; implicit biases are not predicated on any associative structures or associative processes but instead arise because of unconscious propositionally structured beliefs. I conclude by discussing how the case study of implicit bias illuminates problems with popular dual-process models of cognitive architecture. (shrink)

Implicit attitudes are mental states that appear sometimes to cause agents to act in ways that conflict with their considered beliefs. Implicit attitudes are usually held to be mere associations between representations. Recently, however, some philosophers have suggested that they are, or are very like, ordinary beliefs: they are apt to feature in properly inferential processing. This claim is important, in part because there is good reason to think that the vocabulary in which we make moral assessments of ourselves and (...) of others is keyed to folk psychological concepts, like ‘belief’, and not to concepts that feature only in scientific psychology: if implicit attitudes are beliefs there is a prima facie case for thinking that they can serve as the basis for particular kinds of moral assessment. In this paper I argue that while implicit attitudes have propositional structure, their sensitivity and responsiveness to other mental representations is too patchy and fragmented for them to properly be considered beliefs. Instead, they are a sui generis kind of mental state, a state I dub patchy endorsements. (shrink)

Generic generalizations such as ‘mosquitoes carry the West Nile virus’ or ‘sharks attack bathers’ are often accepted by speakers despite the fact that very few members of the kinds in question have the predicated property. Previous work suggests that such low-prevalence generalizations may be accepted when the properties in question are dangerous, harmful, or appalling. This paper argues that the study of such generic generalizations sheds light on a particular class of prejudiced social beliefs, and points to new ways in (...) which those beliefs might be undermined and combatted. (shrink)

Philosophers who have written about implicit bias have claimed or implied that individuals are not responsible, and therefore not blameworthy, for their implicit biases, and that this is a function of the nature of implicit bias as implicit: below the radar of conscious reflection, out of the control of the deliberating agent, and not rationally revisable in the way many of our reflective beliefs are. I argue that close attention to the findings of empirical psychology, and to the conditions for (...) blameworthiness, does not support these claims. I suggest that the arguments for the claim that individuals are not liable for blame are invalid, and that there is some reason to suppose that individuals are, at least sometimes, liable to blame for the extent to which they are influenced in behaviour and judgment by implicit biases. I also argue against the claim that it is counter-productive to see bias as something for which individuals are blameworthy; rather, understanding implicit bias as something for which we are liable to blame could be constructive. (shrink)

Forthcoming, Journal of Philosophy [pdf manuscript].

What is the status of research on implicit bias? In light of meta‐analyses revealing ostensibly low average correlations between implicit measures and behavior, as well as various other psychometric concerns, criticism has become ubiquitous. We argue that while there are significant challenges and ample room for improvement, research on the causes, psychological properties, and behavioral effects of implicit bias continues to deserve a role in the sciences of the mind as well as in efforts to understand, and ultimately combat, discrimination (...) and inequality. (shrink)

Implicit intergroup biases have been shown to impact social behavior in many unsettling ways, from disparities in decisions to “shoot” black and white men in a computer simulation to unequal gender-based evaluations of résumés and CVs. It is a difficult question whether, and in what way, agents are responsible for behaviors affected by implicit biases. I argue that in paradigmatic cases agents are responsible for these behaviors in the sense that the behavior is “attributable” to them. That is, behaviors affected (...) by implicit biases reflect upon who one is as a moral agent. (shrink)