How do racial stereotypes affect perceptions in foreign policy? Race and racism as topics have long been marginalized in the study of international relations but are receiving renewed attention. In this article we assess the role of implicit racial bias in internal, originally classified assessments by the US foreign policy bureaucracy during the Cold War. We use a combination of dictionary-based and supervised machine learning techniques to identify the presence of four racial tropes in a unique corpus of intelligence documents: almost 5,000 President's Daily Briefs given to Kennedy, Johnson, Nixon, and Ford. We argue and find that entries about countries that the US deemed “racialized Others”—specifically, countries in the Global South, newly independent states, and some specific regional groupings—feature an especially large number of racial tropes. Entries about foreign developments in these places are more likely to feature interpretations that infantilize, invoke animal-based analogies, or imply irrationality or belligerence. This association holds even when accounting for the presence of conflict, the regime type of the country being analyzed, the invocation of leaders, and the topics being discussed. The article makes two primary contributions. First, it adds to the revival of attention to race but gives special emphasis to implicit racialized thinking and its appearance in bureaucratic settings. Second, we show the promise of new tools for identifying racial and other forms of implicit bias in foreign policy texts.

Medical-legal partnerships (MLPs) have the potential to address racial health disparities by improving the conditions that constitute the social determinants of health. In order to live up to this potential, these partnerships must intentionally incorporate seven core racial justice principles into their design and implementation. Otherwise, they are likely to replicate the systemic barriers that lead to racialized health disparities.

Research on the normative ideal of democracy has taken a sharp deliberative and epistemic turn. It is now increasingly common for claims about the putative cognitive benefits of political deliberation to play central roles in normative arguments for democracy. In this paper, I argue that the most prominent epistemic defences of deliberative democracy fail. Relying on empirical findings on the workings of implicit bias, I show that they overstate the epistemic virtues of political deliberation. I also argue that findings in cognitive and social psychology can aid in the development of a new and improved generation of epistemic arguments for deliberative democracy.

Political scientists often use measures such as the Brief Implicit Association Test (BIAT) and the Affect Misattribution Procedure (AMP) to gauge hidden or subconscious racial prejudice. However, the validity of these measures has been contested. Using data from the 2008–2009 ANES panel study—the only study we are aware of in which a high-quality, nationally representative sample of respondents took both implicit tests—we show that: (1) although political scientists use the BIAT and the AMP to measure the same thing, the relationship between them is substantively indistinguishable from zero; (2) both measures classify an unlikely proportion of whites as more favorable toward Black Americans than white Americans; and (3) substantial numbers of whites that either measure classifies as free of prejudice openly endorse anti-Black stereotypes. These results have important implications for the use of implicit measures to study racial prejudice in political science.

Motivating reforms to address discrimination and exclusion is important. But what epistemic practices characterize better or worse ways of doing this? Recently, the phenomena of implicit biases have played a large role in motivating reforms. We argue that this strategy risks perpetuating two kinds of epistemic oppression: the vindication dynamic and contributory injustice. We offer positive proposals for avoiding these forms of epistemic oppression when confronting racism.

Can we hold agents responsible for their implicitly biased behavior? The aim of this text is to show that, from the nurturing stance, holding subjects responsible for their implicitly biased behavior is justified, even though they are not blameworthy. First, I will introduce the nurturing stance as Daphne Brandenburg originally developed it. Second, I will specify what holding somebody responsible from the nurturing stance amounts to. Third, I show how and why holding responsible can help a subject develop an impaired capacity. Fourth, I analyze empirical data about holding prejudiced subjects responsible and highlight that the internal motivation to control prejudiced reactions decreases implicit attitudes’ influences. Furthermore, the data show that in order to be appropriate moral demands have to acknowledge the target's autonomy and competence. In sum, from the nurturing stance, holding implicitly biased subjects responsible is appropriate if they can adequately respond to the moral demands.

What is the mental representation that is responsible for implicit bias? What is this representation that mediates between the trigger and the biased behavior? My claim is that this representation is neither a propositional attitude nor a mere association (as the two major accounts of implicit bias claim). Rather, it is mental imagery: perceptual processing that is not directly triggered by sensory input. I argue that this view captures the advantages of the two standard accounts without inheriting their disadvantages. Further, this view also explains why manipulating mental imagery is among the most efficient ways of counteracting implicit bias.

Previous research has demonstrated that Black men are perceived to be more threatening than White men. Relatedly, public discourse suggests that respectable dress may reduce this perception. In this paper, we test whether professional attire reduces associations of threat with Black men. In three separate studies, participants completed a modified version of the Weapons Implicit Association Test (IAT). In Study 1, we tested whether Black men are associated with threat more than White men dressed in similar attire. In Study 2, we sought to test whether professional dress lessens the association between race and threat through intra-race comparisons. In Study 3, we assessed the perception of threat of Black men compared to White men when dressed in differing attire. Overall, findings indicate that participants associate Black men with threat more than White men, regardless of attire. Moreover, contrary to expectations, participants more strongly associate professional than casual dress with threat. The results have implications for public and scientific discourse regarding how contextual cues affect perceptions of Black men as threatening.

This article questions the widespread use of experimental social psychology to understand real-world group disparities. Standard experimental practice is to design studies in which participants make judgments of targets who vary only on the social categories to which they belong. This is typically done under simplified decision landscapes and with untrained decision-makers. For example, to understand racial disparities in police shootings, researchers show pictures of armed and unarmed Black and White men to undergraduates and have them press “shoot” and “don't shoot” buttons. Having demonstrated categorical bias under these conditions, researchers then use such findings to claim that real-world disparities are also due to decision-maker bias. I describe three flaws inherent in this approach, flaws which undermine any direct contribution of experimental studies to explaining group disparities. First, the decision landscapes used in experimental studies lack crucial components present in actual decisions (missing information flaw). Second, categorical effects in experimental studies are not interpreted in light of other effects on outcomes, including behavioral differences across groups (missing forces flaw). Third, there is no systematic testing of whether the contingencies required to produce experimental effects are present in real-world decisions (missing contingencies flaw). I apply this analysis to three research topics to illustrate the scope of the problem. I discuss how this research tradition has skewed our understanding of the human mind within and beyond the discipline and how results from experimental studies of bias are generally misunderstood. I conclude by arguing that the current research tradition should be abandoned.

Recent work on social injustice has focused on implicit bias as an important factor in explaining persistent injustice in spite of achievements on civil rights. In this paper, I argue that because of its individualism, implicit bias explanation, taken alone, is inadequate to explain ongoing injustice; and, more importantly, it fails to call attention to what is morally at stake. An adequate account of how implicit bias functions must situate it within a broader theory of social structures and structural injustice; changing structures is often a precondition for changing patterns of thought and action and is certainly required for durable change.

In recent years, there has been a surge of discussion, debate, and research on the topic of implicit bias. Implicit bias has become the go-to form of racial bias that many academics, practitioners, and policy makers have identified as important and timely to study (Eberhardt et al., 2004; Levinson and Smith, 2017). Interventions to address implicit racial bias in policing have been particularly popular (Fridell 2008). Arguably, combatting implicit racial bias presents itself as a tool for protecting civil rights. This essay examines the emergence of the implicit bias paradigm as a way to address racial bias in justice system outcomes. The first part provides an overview of implicit bias, including how it is defined, how it is measured, and how it impacts the justice system. The second part examines the term “implicit bias.” This section assesses implicit bias as a social problem and considers whether the label illuminates or obscures the reality of racial bias in the criminal justice system. The discussion considers whether “implicit bias” is viewed as a more appealing approach for dealing with racial bias because it does not assign racial blame. The third part considers the contours of the relationship between implicit bias and explicit bias. The discussion highlights the interconnectedness between the two forms of racial bias. Is the implicit bias approach a signal of racial retrenchment? The final section considers how elementary and secondary education could be used as a proactive strategy for addressing implicit racial bias.

A well-documented policy experiment reserving seats for women village leaders in India suggests quotas decrease citizens’ gender stereotypes and increase career aspirations and educational attainment for young women and girls. But do these results generalize to cases outside of India? And how long must quotas be in place to observe the positive effects of women’s leadership? I present data from a similar policy experiment in the southern African nation of Lesotho to test whether citizens express less gender bias after 6-years of exposure to quota-elected women village representatives. Relying on surveys and data from in-field Implicit Association Tests, I find no evidence that the quota reduced average measures of citizen gender bias, although I do find weak evidence that the quota caused young women in particular to exhibit more gender-egalitarian attitudes, both explicit and implicit.