Social psychologists often describe “implicit” racial biases as entirely unconscious, and as mere associations between groups and traits, which lack intentional content, e.g., we associate “black” and “athletic” in much the same way we associate “salt” and “pepper.” However, recent empirical evidence consistently suggests that individuals are aware of their implicit biases, albeit in partial, inarticulate, or even distorted ways. Moreover, evidence suggests that implicit biases are not “dumb” semantic associations, but instead reflect our skillful, norm-sensitive, and embodied engagement (...) with social reality. This essay draws on phenomenological and hermeneutic methods and concepts to better understand what social-psychological research has begun to reveal about the conscious access individuals have to their own racial attitudes, as well as the intentional contents of the attitudes themselves. -/- First, I argue that implicit racial biases form part of the “background” of social experience. That is, while they exert a pervasive influence on our perceptions, judgments, and actions, they are frequently felt but not noticed, or noticed but misinterpreted. Second, I argue that our unreflective racial attitudes are neither mere associations nor fully articulated, propositionally structured beliefs or emotions. Their intentional contents are fundamentally indeterminate. For example, when a white person experiences a “gut feeling” of discomfort during an interaction with a black person, there is a question about the meaning or nature of that discomfort. Is it a fear of black people? Is it anxiety about appearing racist? There is, I argue, no general, determinate answer to such questions. The contents of our unreflective racial attitudes are fundamentally vague and open-ended, although I explain how they nevertheless take on particular shapes and implications—that is, their content can become determinate—depending on context, social meaning, and structural power relations. (If, for example, a perceived authority figure, such as a politician, parent, or scientist, encourages you to believe that your uncomfortable gut feeling is a justified fear of other social groups, then that is what your gut feeling is likely to become.). (shrink)

Why does social injustice exist? What role, if any, do implicit biases play in the perpetuation of social inequalities? Individualistic approaches to these questions explain social injustice as the result of individuals’ preferences, beliefs, and choices. For example, they explain racial injustice as the result of individuals acting on racial stereotypes and prejudices. In contrast, structural approaches explain social injustice in terms of beyond-the-individual features, including laws, institutions, city layouts, and social norms. Often these two approaches are seen (...) as competitors. Framing them as competitors suggests that only one approach can win and that the loser offers worse explanations of injustice. In this essay, we explore each approach and compare them. Using implicit bias as an example, we argue that the relationship between individualistic and structural approaches is more complicated than it may first seem. Moreover, we contend that each approach has its place in analyses of injustice and raise the possibility that they can work together—synergistically—to produce deeper explanations of social injustice. If so, the approaches may be complementary, rather than competing. (shrink)

Researchers often lack the necessary data to credibly estimate racial discrimination in policing. In particular, police administrative records lack information on civilians police observe but do not investigate. In this article, we show that if police racially discriminate when choosing whom to investigate, analyses using administrative records to estimate racial discrimination in police behavior are statistically biased, and many quantities of interest are unidentified—even among investigated individuals—absent strong and untestable assumptions. Using principal stratification in a causal mediation framework, (...) we derive the exact form of the statistical bias that results from traditional estimation. We develop a bias-correction procedure and nonparametric sharp bounds for race effects, replicate published findings, and show the traditional estimator can severely underestimate levels of racially biased policing or mask discrimination entirely. We conclude by outlining a general and feasible design for future studies that is robust to this inferential snare. (shrink)

The reasonable person standard is used in adjudicating claims of self-defence. In US law, an individual may use defensive force if her beliefs that a threat is imminent and that force is required are beliefs that a reasonable person would have. In English law, it is sufficient that beliefs in imminence and necessity are genuinely held; but the reasonableness of so believing is given an evidential role in establishing the genuineness of the beliefs. There is, of course, much contention over (...) how to spell out when, and in virtue of what, such beliefs are reasonable. In this chapter, we identify some distinctive issues that arise when we consider that implicit racial bias might be implicated in the beliefs in imminence and necessity. Considering two prominent interpretations of the reasonable person standard, we argue that neither is acceptable. On one interpretation, we risk unfairness to the defendant-who may non-culpably harbour bias. On another, the standard embeds racist stereotypes. Whilst there are formulations of the defence that may serve to mitigate these problems, we argue that they cannot be avoided in the presence of racist social structures. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s (...) political orientation can arise in some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

The increasing use of opioid treatment agreements has prompted debate within the medical community about ethical challenges with respect to their implementation. The focus of debate is usually on the efficacy of OTAs at reducing opioid misuse, how OTAs may undermine trust between physicians and patients and the potential coercive nature of requiring patients to sign such agreements as a condition for receiving pain care. An important consideration missing from these conversations is the potential for racial bias in (...) the current way that OTAs are incorporated into clinical practice and in the amount of physician discretion that current opioid guidelines support. While the use of OTAs has become mandatory in some states for certain classes of patients, physicians are still afforded great leeway in how these OTAs are implemented in clinical practice and how their terms should be enforced. This paper uses the guidelines provided for OTA implementation by the states of Indiana and Pennsylvania as case studies in order to argue that giving physicians certain kinds of discretion may exacerbate racial health disparities. This problem cannot simply be addressed by minimising physician discretion in general, but rather by providing mechanisms to hold physicians accountable for how they treat patients on long-term opioid therapy to ensure that such treatment is equitable. There are no data in this work. (shrink)

he paper analyses migration flows from the Philippines in two gendered occupations: domestic helpers and computer programmers. The international division of labour theory claims that foreign investment determines migration from developing countries, especially of women, towards low-skilled gendered occupations in developed countries. This paper shows that the division of labour is neither gendered nor international in the predicted sense. For instance, data from Philippines Overseas Employment Agency shows that the theory is Eurocentric as Northern America and Europe are destinations for (...) only 3 per cent of domestic workers’ flows. The paper argues that neo-Marxism creates bias in gender and migration research and hinders understanding of important gendered effects concerning migrants. Two examples of such gendered effects are highlighted here: the higher vulnerability to legislative change of migrant men employed as domestic workers in Italy and the higher penetration of women into computer programming in the migrant flows to the U.S. (shrink)

Recent work in social psychology suggests that people harbor “implicit race biases,” biases which can be unconscious or uncontrollable. Because awareness and control have traditionally been deemed necessary for the ascription of moral responsibility, implicit biases present a unique challenge: do we pardon discrimination based on implicit biases because of its unintentional nature, or do we punish discrimination regardless of how it comes about? The present experiments investigated the impact such theories have upon moral judgments about racial discrimination. The (...) results show that different theories differ in their impact on moral judgments: when implicit biases are defined as unconscious, people hold the biased agent less morally responsible than when these biases are defined as automatic (i.e., difficult to control), or when no theory of implicit bias is provided. (shrink)

In 2014, questionable police killings of Eric Garner, Michael Brown, and Tamir Rice sparked mass protests and put policing at the center of national debate. Mass protests erupted again in 2020 after the brutal police killing of George Floyd. These and other incidents have put a spotlight on a host of issues that threaten the legitimacy of policing—excessive force, racial bias, over-policing of marginalized communities, historic injustices that remain unaddressed, and new technology that increases police powers. This introduction (...) gives an overview of these ethical challenges facing police today and the democratic institutions that oversee them. It then outlines the various interdisciplinary perspectives—from Black studies, criminology, history, law, philosophy, political science, and sociology—collected in the volume. Together, these contributions aim to clarify the question of which ethical principles should guide police, where current practices fall short, and what strategies hold the most promise for addressing these failures. (shrink)

A model of face representation, inspired by the biology of the visual system, is compared to experimental data on the perception of facial similarity. The face representation model uses aggregate primary visual cortex (V1) cell responses topographically linked to a grid covering the face, allowing comparison of shape and texture at corresponding points in two facial images. When a set of relatively similar faces was used as stimuli, this Linked Aggregate Code (LAC) predicted human performance in similarity judgment experiments. When (...) faces of perceivable categories were used, dimensions such as apparent sex and race emerged from the LAC model without training. The dimensional structure of the LAC similarity measure for the mixed category task displayed some psychologically plausible features but also highlighted differences between the model and the human similarity judgements. The human judgements exhibited a racial perceptual bias that was not shared by the LAC model. The results suggest that the LAC based similarity measure may offer a fertile starting point for further modelling studies of face representation in higher visual areas, including studies of the development of biases in face perception. (shrink)

To biologise racism is to treat racism as a neurological phenomenon susceptible to biochemical intervention. In 'Race on the Brain: What Implicit Bias Gets Wrong About the Struggle for Racial Injustice', Kahn (2018) critiques cognitive psychologists and neuroscientists for framing racism in a way that tends to biologise racism, which he argues draws attention and resources away from non-individualistic solutions to racial inequality. In this paper I argue the psychological sciences can accommodate several of Kahn’s criticisms by (...) adopting a situated approach to cognition, where we take environmental features as integral to the cognitive processes that manifest racial bias. (shrink)

Drawing upon empirical studies of racial discrimination dating back to the 1940’s, the Movement for Black Lives platform calls for the abolition of capital punishment. Our purpose here is to defend the Movement’s call for death penalty abolition in terms congruent with its claim that the death penalty in the U.S. is a “racist practice” that “devalues Black lives.” We first sketch the jurisprudential history of race and capital punishment in the U.S., wherein courts have occasionally expressed worries about (...) racial injustice but have usually taken such evidence to warrant reform but not outright abolition. We argue that the racial discrimination at issue flows in significant part from implicit biases concerning race, criminality, and violence, which do not fit comfortably within the picture of racial bias advanced by the courts. The case for abolition, we contend, rests on Black Americans as a class (not merely those who interact with the criminal justice system as capital defendants or as murder victims) being subject to such bias and thereby not being accorded equal status under the law. (shrink)

For more than two decades, police in the United States have used facial recognition to surveil civilians. Local police departments deploy facial recognition technology to identify protestors’ faces while federal law enforcement agencies quietly amass driver’s license and social media photos to build databases containing billions of faces. Yet, despite the widespread use of facial recognition in law enforcement, there are neither federal laws governing the deployment of this technology nor regulations settings standards with respect to its development. To make (...) matters worse, the Fourth Amendment—intended to limit police power and enacted to protect against unreasonable searches—has struggled to rein in new surveillance technologies since its inception. -/- This Article examines the Supreme Court’s Fourth Amendment jurisprudence leading up to Carpenter v. United States and suggests that the Court is reinterpreting the amendment for the digital age. Still, the too-slow expansion of privacy protections raises challenging questions about racial bias, the legitimacy of police power, and ethical issues in artificial intelligence design. This Article proposes the development of an algorithmic auditing and accountability market that not only sets standards for AI development and limitations on governmental use of facial recognition but encourages collaboration between public interest technologists and regulators. Beyond the necessary changes to the technological and legal landscape, the current system of policing must also be reevaluated if hard-won civil liberties are to endure. (shrink)

Recent studies have shown that recidivism scoring algorithms like COMPAS have significant racial bias: Black defendants are roughly twice as likely as white defendants to be mistakenly classified as medium- or high-risk. This has led some to call for abolishing COMPAS. But many others have argued that algorithms should instead be given access to a defendant's race, which, perhaps counterintuitively, is likely to improve outcomes. This approach can involve either establishing race-sensitive risk thresholds, or distinct racial ‘tracks’. (...) Is there a moral difference between these two approaches? We first consider Deborah Hellman's view that the use of distinct racial tracks (but not distinct thresholds) does not constitute disparate treatment since the effects on individuals are indirect and does not rely on a racial generalization. We argue that this is mistaken: the use of different racial tracks seems both to have direct effects on and to rely on a racial generalization. We then offer an alternative understanding of the distinction between these two approaches—namely, that the use of different cut points is to the counterfactual comparative disadvantage, ex ante, of all white defendants, while the use of different racial tracks can in principle be to the advantage of all groups, though some defendants in both groups will fare worse. Does this mean that the use of cut points is impermissible? Ultimately, we argue, while there are reasons to be skeptical of the use of distinct cut points, it is an open question whether these reasons suffice to make a difference to their moral permissibility. (shrink)

This commentary responds to Stephen Cave and Kanta Dihal’s call for further investigations of the whiteness of AI. My response focuses on three overlapping projects needed to more fully understand racial bias in the construction of AI and its representations in pop culture: unpacking the intersections of gender and other variables with whiteness in AI’s construction, marketing, and intended functions; observing the many different ways in which whiteness is scripted, and noting how white racial framing exceeds white (...) casting and thus cannot be undone by more diverse and inclusive hiring. Our techno-utopian fantasies, I conclude, are morally suspect in ways that go beneath and beyond the white plastic covering on robotic bodies. (shrink)

This chapter argues for a structural injustice approach to the governance of AI. Structural injustice has an analytical and an evaluative component. The analytical component consists of structural explanations that are well-known in the social sciences. The evaluative component is a theory of justice. Structural injustice is a powerful conceptual tool that allows researchers and practitioners to identify, articulate, and perhaps even anticipate, AI biases. The chapter begins with an example of racial bias in AI that arises from (...) structural injustice. The chapter then presents the concept of structural injustice as introduced by the philosopher Iris Marion Young. The chapter moreover argues that structural injustice is well suited as an approach to the governance of AI and compares this approach to alternative approaches that start from analyses of harms and benefits or from value statements. The chapter suggests that structural injustice provides methodological and normative foundations for the values and concerns of Diversity, Equity, and Inclusion. The chapter closes with an outlook onto the idea of “structure” and on responsibility. The idea of a structure is central to justice. An open theoretical research question is to what extent AI is itself part of the structure of society. Finally, the practice of responsibility is central to structural injustice. Even if they cannot be held responsible for the existence of structural injustice, every individual and every organization has some responsibility to address structural injustice going forward. (shrink)

In this paper I attempt to unpack the current public debate on racial transformation in South African sport, particularly with regard to the demographic make-up of its national cricket and rugby sides. I ask whether the alleged moral imperative to undertake such transformation is, in fact, a moral imperative at all. I discuss five possible such imperatives: the need to compensate non-white South Africans for the injustices in sport’s racist history, the imperative to return the make-up of our national (...) sides to what they would have been in the absence of that history, the requirement that national sides be representative of the country, the need to eliminate ongoing racial bias in selection, and the obligation to provide all South Africans, regardless of their race, the opportunity to compete as equals for places in the national side. I argue that the first three, drawn from talk of “rectifying the injustices of the past,” “achieving demographic proportionality between the sides and the country,” “representivity,” and “transformation” itself, are not compelling. The remaining two are of great moral import, but that the sorts of phrases just mentioned, and which are frequently used in the debate, have little to do with those genuine moral requirements. (shrink)

I argue that in addressing worries about the validity and reliability of implicit measures of social cognition, theorists should draw on research concerning “entitativity perception.” In brief, an aggregate of people is perceived as highly “entitative” when its members exhibit a certain sort of unity. For example, think of the difference between the aggregate of people waiting in line at a bank versus a tight-knit group of friends: The latter seems more “groupy” than the former. I start by arguing that (...) entitativity perception modulates the activation of implicit biases and stereotypes. I then argue that recognizing this modulatory role will help researchers to address concerns surrounding the validity and reliability of implicit measures. (shrink)

Implicit attitudes are mental states posited by psychologists to explain behaviors including implicit racial and gender bias. In this paper I investigate the belief view of the implicit attitudes, on which implicit attitudes are a kind of implicit belief. In particular, I focus on why implicit attitudes, if they are beliefs, are often resistant to updating in light of new evidence. I argue that extant versions of the belief view do not give a satisfactory account of this phenomenon. (...) This is because proponents of the belief view have focused on overly narrow explanations of recalcitrance in terms of belief storage. Expanding the focus of the belief view to the kinds of irrational and arational transitions between beliefs and other mental states provides compelling (if preliminary) explanations of recalcitrance. (shrink)

Cognitive dissonance is a kind of ambivalence in which your apprehension of the fact that you performed or want to perform an action of which you disapprove gives rise to psychological distress. This, in turn, causes you to solicit unconscious processes that can help you reduce the distress. Here we look at the role that cognitive dissonance plays in explaining the inner workings of racism. We distinguish between three types of racist acts: inadvertent bigotry, habitual racism, and explicit racism. Unlike (...) inadvertent bigots, habitual and explicit racists are racially motivated and they therefore are responsible for their racial acts. But unlike the explicit racists, habitual racists aren’t immediately aware of their racial motives. As habitual racists hold overt egalitarian attitudes, the conflict between their over attitudes and their covert racial motives are a potential source of distress. To avoid having to face their racial motives, they tend to turn to confabulation. While explicit racists aren’t bothered by a similar form of cognitive dissonance, their explicit racial attitudes and desires to cause black people to suffer are at odds with majority public opinion, which can be a source of shame. To escape this kind of negative self-realization, explicit racists seek to justify their actions as honorable or as necessary for the good of society. We conclude by briefly pondering how cognitive dissonance can be used as a strategy for transforming habitual and explicit racists. (shrink)

This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the White racial frame. First, we examine the extent to which (...) this Whiteness might simply reflect the predominantly White milieus from which these artefacts arise. Second, we argue that to imagine machines that are intelligent, professional, or powerful is to imagine White machines because the White racial frame ascribes these attributes predominantly to White people. Third, we argue that AI racialised as White allows for a full erasure of people of colour from the White utopian imaginary. Finally, we examine potential consequences of the racialisation of AI, arguing it could exacerbate bias and misdirect concern. (shrink)

Like American politics, the academic debate over justice is polarized, with almost all theories of justice falling within one of two traditions: egalitarianism and libertarianism. This book provides an alternative to the partisan standoff by focusing not on equality or liberty, but on the idea that we should give people the things that they deserve. Mulligan argues that a just society is a meritocracy, in which equal opportunity prevails and social goods are distributed strictly on the basis of merit. That (...) gives citizens their just deserts. In addition to its novel conceptual approach, meritocracy is distinctive from existing work in two ways. First, it is grounded in research on how people actually think about justice. Empirical research reveals that people don't think that social goods should be distributed equally. Nor do they dismiss the idea of social justice. Across ideological and cultural lines, people want rewards to reflect merit. Second, the book discusses hot-button political issues and makes concrete policy recommendations. These issues include anti-meritocratic bias against women and racial minorities and the United States’ widening economic inequality. Justice and the Meritocratic State offers a new theory of justice and provides solutions to our most vexing social and economic problems. It will be of keen interest to philosophers, economists, and political theorists. (shrink)

How should we think about the ways search engines can go wrong? Following the publication of Safiya Noble’s Algorithms of Oppression (Noble 2018), a view has emerged that racist, sexist, and other problematic results should be thought of as indicative of algorithmic bias. In this paper, I offer an alternative angle on these results, building on Noble’s suggestion that search engines are complicit in a racial contract (Mills 1990). I argue that racist and sexist results should be thought (...) of as part of the workings of the social system of white ignorance. Along the way, I will argue that we should think about search engines not as sources of testimony, but as information-classification systems, and make a preliminary case for the importance of the social epistemology of technology. (shrink)

It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring (...) that the resulting predictive model does not use race as an explicit predictor. However, if race is correlated with measured recidivism in the training data, the ML tool may ‘learn’ a perfect proxy for race. If such a proxy is found, the exclusion of race would do nothing to weaken the correlation between risk (mis)classifications and race. Is this a problem? We argue that, on some explanations of the wrongness of discrimination, it is. On these explanations, the use of an ML tool that perfectly proxies race would (likely) be more wrong than the use of a traditional tool that imperfectly proxies race. Indeed, on some views, use of a perfect proxy for race is plausibly as wrong as explicit racial profiling. We end by drawing out four implications of our arguments. (shrink)

A frequent caveat in online dating profiles – “No fats, femmes, or Asians” – caused an LGBT activist to complain about the bias against Asians in the American gay community, which he called “racial looksism”. In response, he was asked that, if he himself would not date a fat person, why he should find others not dating Asians so upsetting. This response embodies a popular attitude that personal preferences or tastes are simply personal matters – they are not (...) subject to moral evaluation. In this paper, I argue, against this popular attitude, that a personal preference like racial looksism is indeed wrong. A preference like racial looksism is wrong because it is an overgeneralization that disrespects individuality by treating people as exchangeable tokens of one type, and such disrespect denies its objects appreciation that their dignity entitles them to. As it turns out, there is on my account a relevant moral difference between racial looksism and simple looksism. (shrink)

How should we explore the relationship between race and educational opportunity? One approach to the Black-White achievement gap explores how race and class cause disparities in access and opportunity. In this paper, I consider how education contributes to the creation of race. Considering examples of classroom micropolitics, I argue that breakdowns of trust and trustworthiness between teachers and students can cause substantial disadvantages and, in the contemporary United States, this happens along racial lines. Some of the disadvantages are academic: (...) high achievement is more difficult when one faces mistrust, ego depletion, effort pessimism, and insult. And within a knowledge economy, exclusion from knowledge work makes one vulnerable to injustice. But the problem goes deeper than achievement, for schools are contexts in which we develop self-understandings and identities that situate us as members of society. If students of color are systematically denied full participation in trusting conversations that create shared knowledge—especially, knowledge that holds power within the dominant culture—they are unjustly deprived resources to form flourishing selves that are suited to the positions of power and authority. The argument suggests that knowledge is not best understood simply as a commodity to be distributed, and opportunity is not just a matter of access. Moreover, even if access is granted, those who are motivated and talented can fail: they drain their willpower by coping with insults, or reasonably lose optimism about their efficacy. Over time, motivation may shift away from achievement, and under the circumstances this can be a rational response. The barriers to achievement are many, but true opportunity is impossible without trust and trustworthiness. (shrink)

Are implicit biases something we can rightly be held responsible for, and if so, how? A variety of social and cognitive psychological studies have documented the existence of wide-ranging implicit biases for over 30 years. These implicit biases can best be described as negative mental attitudes that operate immediately and unconsciously in response to specific stimuli. The first chapter of this thesis surveys the psychological literature, as well as presents findings of real-world experiments into racial biases. I then present (...) the dominant model of implicit attitudes as mere associations, followed by evidence that at least some implicit attitudes take on a propositional form and involve making inferences based on evidence. I then reject adopting either of these two rigid models in favor of a dispositional approach that treats implicit biases as on the same spectrum of, but adjacent to, beliefs. I then evaluate the moral wrongdoing associated with holding explicitly prejudicial beliefs, appealing first to Kantian notions of respecting individuals as agents, then appealing to Strawson’s argument that we are responsible for expressions of our will. Our status as human agents involves participating in complex and sustained interactions with others, which necessarily implies that we take part in the social practice of holding each other responsible for the quality of their will. The reactive attitudes we display in our everyday interactions indicate which features and circumstances are most important when investigating this practice. After applying this approach to implicit attitudes, I then pose the objection that their unconscious and unendorsed nature disqualifies implicit attitudes as proper expressions of our will. I develop this objection using Scanlon’s account of moral responsibility, which requires the capacity to self-govern in light of principles that are generally agreed upon as good reasons for guiding interactions with one another. Finally, I critique Real Self theories that seek to arbitrarily privilege one part of ourselves in favor of the Whole Self, which privileges those features that are most integrated into our overall character. (shrink)

This chapter explores two of the most studied and most damaging aspects of such societal influence on science: racial and gender biases. We discuss two major domains of biological and medical research involving race and gender: cognitive differences research and reproductive health science. In each case, we explore the influence of sexist values like androcentric bias—where researchers focus on men and male bodies as the alleged “norm”—and racist values like white supremacy—where researchers privilege the cultures and attributes of (...) white people as allegedly “superior” to those of people of color. The chapter contends that we must make the culture of research more equitable to make the research itself less biased and more fair for all people. (shrink)

The Black Lives Matter movement has called for the abolition of capital punishment in response to what it calls “the war against Black people” and “Black communities.” This article defends the two central contentions in the movement’s abolitionist stance: first, that US capital punishment practices represent a wrong to black communities rather than simply a wrong to particular black capital defendants or particular black victims of murder, and second, that the most defensible remedy for this wrong is the abolition of (...) the death penalty. (shrink)

How can researchers use race, as they do now, to conduct health-care studies when its very definition is in question? The belief that race is a social construct without “biological authenticity” though widely shared across disciplines in social science is not subscribed to by traditional science. Yet with an interdisciplinary approach, the two horns of the social construct/genetics dilemma of race are not mutually exclusive. We can use traditional science to provide a rigorous framework and use a social-science approach so (...) that “invisible” factors are used to adjust the design of studies on an as-needed basis. One approach is to first observe health-care outcomes and then categorize the outcomes, thus removing genetic differences as racial proxies from the design of the study. From the outcomes, we can then determine if there is a pattern of conceivable racial categories. If needed, we can apply dynamic notions of race to acknowledge bias without prejudice. We can use them constructively to improve outcomes and reduce racial disparities. Another approach is nearly identical but considers race not at all: While analyzing outcomes, we can determine if there are biological differences significant enough to identify classifications of humans. That is, we look for genetic patterns in the outcomes and classify only those patterns. There is no attempt to link those patterns to race. (shrink)

A traditional social scientific divide concerns the centrality of the interpretation of local understandings as opposed to attending to relatively general factors in understanding human individual and group differences. We consider one of the most common social scientific variables, race, and ask how to conceive of its causal power. We suggest that any plausible attempt to model the causal effects of such constructed social roles will involve close interplay between interpretationist and more general elements. Thus, we offer a case study (...) that one cannot offer a comprehensive model of the causal power of racial categories as social constructions without careful attention both to local meanings and more general mechanisms. (shrink)

Our focus here is on whether, when influenced by implicit biases, those behavioural dispositions should be understood as being a part of that person’s character: whether they are part of the agent that can be morally evaluated.[4] We frame this issue in terms of control. If a state, process, or behaviour is not something that the agent can, in the relevant sense, control, then it is not something that counts as part of her character. A number of theorists have argued (...) that individuals do not have control, in the relevant sense, over the operation of implicit bias. We will argue that this claim is mistaken. We articulate and develop a notion of control that individuals have with respect to implicit bias, and argue that this kind of control can ground character-based evaluation of such behavioural dispositions. (shrink)

chapter on perception and bias including implicit bias.

If you care about securing knowledge, what is wrong with being biased? Often it is said that we are less accurate and reliable knowers due to implicit biases. Likewise, many people think that biases reflect inaccurate claims about groups, are based on limited experience, and are insensitive to evidence. Chapter 3 investigates objections such as these with the help of two popular metaphors: bias as fog and bias as shortcut. Guiding readers through these metaphors, I argue that they (...) clarify the range of knowledge-related objections to implicit bias. They also suggest that there will be no unifying problem with bias from the perspective of knowledge. That is, they tell us that implicit biases can be wrong in different ways for different reasons. Finally, and perhaps most importantly, the metaphors reveal a deep—though perhaps not intractable—disagreement among theorists about whether implicit biases can be good in some cases when it comes to knowledge. (shrink)

The term 'implicit bias' has very swiftly been incorporated into philosophical discourse. Our aim in this paper is to scrutinise the phenomena that fall under the rubric of implicit bias. The term is often used in a rather broad sense, to capture a range of implicit social cognitions, and this is useful for some purposes. However, we here articulate some of the important differences between phenomena identified as instances of implicit bias. We caution against ignoring these differences: (...) it is likely they have considerable significance, not least for the sorts of normative recommendations being made concerning how to mitigate the bad effects of implicit bias. (shrink)

Present-bias is the preference, all else being equal, for positive events to be located in the present rather than the non-present, and for negative events to be located in the non-present rather than the present. Very little attention has been given to present-bias in the contemporary literature on time biases. This may be because it is often assumed that present-bias is not a distinctive psychological kind; that what explains people’s being present-biased is just what explains them displaying (...) various other time-biases. According to this view, there is no need to investigate present-bias independently of investigating these other biases, since present-bias is really just a manifestation of these other biases. We call this the manifestation thesis. We take up the question of whether the manifestation thesis is true, and argue that it is not. Thus, by failing to investigate present-bias in its own right we are failing fully to understand the spectrum of ways in which people display time biases. In turn, we suggest, this may have implications for the ways we evaluate whether present-bias is rationally permissible. (shrink)

While the intersection between race and religion has been an important site for research for the sociology of religion and religious studies (in its descriptive dimensions) as well s theology (in its religiously normative dimensions), neither of these disciplines has incorporated recent work in the analytic philosophy of race. Analytic philosophy of race, for its part, has largely neglected the race/religion intersection, while analytic theologians by and large ignore the theological significance of race altogether. In this paper I am to (...) draw together these distinct disciplinary contributions—social-historical, philosophical and normative-theological—into a single integrated framework for a research program in analytic theology. I call that framework “religious racial formation theory,” and I claim that the work of specifying a determinate religious racial formation theory is not merely a (normatively driven) sociological and historical task but a necessarily philosophical one. I then detail what sorts of metaphysical determinations are required in order to yield an adequate explanation of the intersection uncovered by the socio-historical data summarized in the first section. (shrink)

This paper defends the concept of racialization against its critics. As the concept has become increasingly popular, questions about its meaning and value have been raised, and a backlash against its use has occurred. I argue that when “racialization” is properly understood, criticisms of the concept are unsuccessful. I defend a definition of racialization and identify its companion concept, “racialized group.” Racialization is often used as a synonym for “racial formation.” I argue that this is a mistake. Racial (...) formation theory is committed to racial ontology, but racialization is best understood as the process through which racialized – rather than racial – groups are formed. “Racialization” plays a unique role in the conceptual landscape, and it is a key concept for race eliminativists and anti-realists about race. (shrink)

Historically, laws and policies to criminalize drug use or possession were rooted in explicit racism, and they continue to wreak havoc on certain racialized communities. We are a group of bioethicists, drug experts, legal scholars, criminal justice researchers, sociologists, psychologists, and other allied professionals who have come together in support of a policy proposal that is evidence-based and ethically recommended. We call for the immediate decriminalization of all so-called recreational drugs and, ultimately, for their timely and appropriate legal regulation. We (...) also call for criminal convictions for nonviolent offenses pertaining to the use or possession of small quantities of such drugs to be expunged, and for those currently serving time for these offenses to be released. In effect, we call for an end to the “war on drugs.”. (shrink)

This paper examines the role of prestige bias in shaping academic philosophy, with a focus on its demographics. I argue that prestige bias exacerbates the structural underrepresentation of minorities in philosophy. It works as a filter against (among others) philosophers of color, women philosophers, and philosophers of low socio-economic status. As a consequence of prestige bias our judgments of philosophical quality become distorted. I outline ways in which prestige bias in philosophy can be mitigated.

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. 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. (shrink)

Racial profiling has come under intense public scrutiny especially since the rise of the Black Lives Matter movement. This article discusses two questions: whether racial profiling is sometimes rational, and whether it can be morally permissible. It is argued that under certain circumstances the affirmative answer to both questions is justified.

Philosophers have long noted, and empirical psychology has lately confirmed, that most people are “biased toward the future”: we prefer to have positive experiences in the future, and negative experiences in the past. At least two explanations have been offered for this bias: belief in temporal passage and the practical irrelevance of the past resulting from our inability to influence past events. We set out to test the latter explanation. In a large survey, we find that participants exhibit significantly (...) less future bias when asked to consider scenarios where they can affect their own past experiences. This supports the “practical irrelevance” explanation of future bias. It also suggests that future bias is not an inflexible preference hardwired by evolution, but results from a more general disposition to “accept the things we cannot change”. However, participants still exhibited substantial future bias in scenarios in which they could affect the past, leaving room for complementary explanations. Beyond the main finding, our results also indicate that future bias is stake-sensitive and that participants endorse the normative correctness of their future-biased preferences and choices. In combination, these results shed light on philosophical debates over the rationality of future bias, suggesting that it may be a rational response to empirical realities rather than a brute, arational disposition. (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)

Moral, social, political, and other “nonepistemic” values can lead to bias in science, from prioritizing certain topics over others to the rationalization of questionable research practices. Such values might seem particularly common or powerful in the social sciences, given their subject matter. However, I argue first that the well-documented phenomenon of motivated reasoning provides a useful framework for understanding when values guide scientific inquiry (in pernicious or productive ways). Second, this analysis reveals a parity thesis: values influence the social (...) and natural sciences about equally, particularly because both are so prominently affected by desires for social credit and status, including recognition and career advancement. Ultimately, bias in natural and social science is both natural and social— that is, a part of human nature and considerably motivated by a concern for social status (and its maintenance). Whether the pervasive influence of values is inimical to the sciences is a separate question. (shrink)

Are individuals morally responsible for their implicit biases? One reason to think not is that implicit biases are often advertised as unconscious, ‘introspectively inaccessible’ attitudes. However, recent empirical evidence consistently suggests that individuals are aware of their implicit biases, although often in partial and inarticulate ways. Here I explore the implications of this evidence of partial awareness for individuals’ moral responsibility. First, I argue that responsibility comes in degrees. Second, I argue that individuals’ partial awareness of their implicit biases makes (...) them (partially) morally responsible for them. I argue by analogy to a close relative of implicit bias: moods. (shrink)

All else being equal, most of us typically prefer to have positive experiences in the future rather than the past and negative experiences in the past rather than the future. Recent empirical evidence tends not only to support the idea that people have these preferences, but further, that people tend to prefer more painful experiences in their past rather than fewer in their future (and mutatis mutandis for pleasant experiences). Are such preferences rationally permissible, or are they, as time-neutralists contend, (...) rationally impermissible? And what is it that grounds their having the normative status that they do have? We consider two sorts of arguments regarding the normative status of future-biased preferences. The first appeals to the supposed arbitrariness of these preferences, and the second appeals to their upshot. We evaluate these arguments in light of the recent empirical research on future-bias. (shrink)

Racial epithets are terms used to characterize people on the basis of their race, and are often used to harm the people that they target. But what do racial epithets mean, and how do they work to harm in the way that they do? In this essay I set out to answer these questions by offering a pragmatic view of racial epithets, while contrasting my position with Christopher Hom's semantic view.

It has been argued that implicit biases are operative in philosophy and lead to significant epistemic costs in the field. Philosophers working on this issue have focussed mainly on implicit gender and race biases. They have overlooked ideological bias, which targets political orientations. Psychologists have found ideological bias in their field and have argued that it has negative epistemic effects on scientific research. I relate this debate to the field of philosophy and argue that if, as some studies (...) suggest, the same bias also exists in philosophy then it will lead to hitherto unrecognised epistemic hazards in the field. Furthermore, the bias is epistemically different from the more familiar biases in respects that are important for epistemology, ethics, and metaphilosophy. (shrink)

This article goes behind stereotypes of Muslim veiling to ask after the representational structure underlying these images. I examine the public debate leading to the 2004 French law banning conspicuous religious signs in schools and French colonial attitudes to veiling in Algeria, in conjunction with discourses on the veil that have arisen in other western contexts. My argument is that western perceptions and representations of veiled Muslim women are not simply about Muslim women themselves. Rather than representing Muslim women, these (...) images fulfill a different function: they provide the negative mirror in which western constructions of identity and gender can be positively reflected. It is by means of the projection of gender oppression onto Islam, and its naturalization to the bodies of veiled women, that such mirroring takes place. This constitutes, I argue, a form of racialization. Drawing on the work of Fanon, Merleau-Ponty and Alcoff, I offer a phenomenological analysis of this racializing vision. What is at stake is a form of cultural racism that functions in the guise of anti-sexist and feminist liberatory discourse, at once posing a dilemma to feminists and concealing its racializing logic. (shrink)