In this chapter, we identify and present predominant debates at the intersection of ethics and imagination. We begin by examining issues on whether our imagination can be constrained by ethical considerations, such as the moral evaluation of imagination, the potential for morality’s constraining our imaginative abilities, and the possibility of moral norms’ governing our imaginings. Then, we present accounts that posit imagination’s integral role in cultivating ethical lives, both through engagements with narrative artworks and in reality. Our final topic of (...) consideration focuses on the possibility of imagination constituting or constructing new ethical or political frameworks. (shrink)

In this chapter, we explore whether agents have an epistemic duty to eradicate implicit bias. Recent research shows that implicit biases are widespread and they have a wide variety of epistemic effects on our doxastic attitudes. First, we offer some examples and features of implicit biases. Second, we clarify what it means to have an epistemic duty, and discuss the kind of epistemic duties we might have regarding implicit bias. Third, we argue that we have an epistemic duty to eradicate (...) implicit biases that have negative epistemic impact. Finally, we defend this view against the objection that we lack the relevant control over implicit bias that’s required for such a duty. We argue that we have a kind of reflective control over the implicit biases that we are duty-bound to eradicate. And since, as we show, we have this control over a wide variety of implicit biases, there are a lot of implicit biases that we have epistemic duties to eradicate. (shrink)

We can understand implicit bias as a person’s disposition to evaluate members of a social group in a less favorable light than members of another social group, without intending to do so. If we understand it this way, we should not presuppose a one-size-fits-all answer to the question of how implicit cognitive states lead to skewed evaluations of other people. The focus of this paper is on implicit bias in considered decisions. It is argued that we have good reasons to (...) assume that imagination plays a vital role in decision making. If this assumption is correct, it offers an explanation for implicit bias in many considered decisions: Human beings who have been frequently exposed to stereotypes have stereotype-congruent expectations as part of their background knowledge. They feed into their imagination, sometimes without their awareness. This model would allow us to explain the key characteristics of implicit bias without recurring to any unconscious attitudes over and above such background knowledge. (shrink)

In this paper, I argue against the view that the representational structure of the implicit attitudes responsible for implicitly biased behaviour is propositional—as opposed to associationist. The proposal under criticism moves from the claim that implicit biased behaviour can occasionally be modulated by logical and evidential considerations to the view that the structure of the implicit attitudes responsible for such biased behaviour is propositional. I argue, in particular, against the truth of this conditional. Sensitivity to logical and evidential considerations, I (...) contend, proves to be an inadequate criterion for establishing the true representational structure of implicit attitudes. Considerations of a different kind, which emphasize the challenges posed by the structural social injustice that implicit attitudes reflect, offer, I conclude, better support for deciding this issue in favour of an associationist view. (shrink)

I propose a new model of implicit bias, according to which implicit biases are constituted by unconscious imaginings. I begin by endorsing a principle of parsimony when confronted with unfamiliar phenomena. I introduce implicit bias in terms congenial to what most philosophers and psychologists have said about their nature in the literature so far, before moving to a discussion of the doxastic model of implicit bias and objections to it. I then introduce unconscious imagination and argue that appeal to it (...) does not represent a departure from a standard view of imagination, before outlining my model and showing how it accommodates characteristic features of implicit bias. I argue for its advantages over the doxastic model: it does not violate the parsimony principle, it does not face any of the objections so far raised to doxasticism, and it can accommodate the heterogeneity in the category of implicit bias. Finally, I address whether my view limits our ability to hold people accountable for their biases (it does not), and whether it is consistent with what we know about intervention strategies (it is). I conclude that implicit biases are constituted by unconscious imaginings. (shrink)

Philosophers are divided over whether implicit biases are beliefs. Critics of the belief model of implicit bias argue that empirical data show that implicit biases are habitual but unstable and not sensitive to evidence. They are not rational or consistently action-guiding like beliefs are supposed to be. In contrast, proponents of the belief model of implicit bias argue that they are stable enough, sensitive to some evidence, and do guide our actions, albeit haphazardly sometimes. With the help of revisionary notions (...) of belief, such as fragmented, Spinozan, and dispositional belief, these theorists argue that implicit biases are beliefs. I argue that both the critiques and defenses of belief models of implicit bias are problematic. This methodological critique suggests that debates about nature of the implicit bias ought to shift away from the belief question and toward more fundamental questions about stability and evidential sensitivity of implicit biases. I chart the path forward for this prescribed shift in the debate. (shrink)

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)

An increasingly popular view in scholarly literature and public debate on implicit biases holds that there is progressive moral potential in the discomfort that liberals and egalitarians feel when they realize they harbor implicit biases. The strong voices among such discomfort advocates believe we have a moral and political duty to confront people with their biases even though we risk making them uncomfortable. Only a few voices have called attention to the aversive effects of discomfort. Such discomfort skeptics warn that, (...) because people often react negatively to feeling blamed or called-out, the result of confrontational approaches is often counterproductive. To deepen this critique, I distinguish between awareness discomfort and interaction discomfort, developing a contextual approach that draws on recent research on negative affect and emotions to chart a more complete picture of the moral limits of discomfort. I argue that discomfort advocates risk overrating the moral potential of discomfort if they underestimate the extent to which context shapes the interpretation of affect and simple, raw feelings. (shrink)

How do cognition and affect interact to produce action? Research in intergroup psychology illuminates this question by investigating the relationship between stereotypes and prejudices about social groups. Yet it is now clear that many social attitudes are implicit. This raises the question: how does the distinction between cognition and affect apply to implicit mental states? An influential view—roughly analogous to a Humean theory of action—is that “implicit stereotypes” and “implicit prejudices” constitute two separate constructs, reflecting different mental processes and neural (...) systems. On this basis, some have also argued that interventions to reduce discrimination should combat implicit stereotypes and prejudices separately. We propose an alternative framework. We argue that all putative implicit stereotypes are affect-laden and all putative implicit prejudices are “semantic,” that is, they stand in co-activating associations with concepts and beliefs. Implicit biases, therefore, consist in “clusters” of semantic-affective associations, which differ in degree, rather than kind. This framework captures the psychological structure of implicit bias, promises to improve the power of indirect measures to predict behavior, and points toward the design of more effective interventions to combat discrimination. (shrink)

This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human (...) resource recruitment as a focal point to show that existing approaches have exploited only a subset of the available solution space. We then demonstrate how our framework facilitates the discovery of new approaches. The first dimension of this framework helps us systematically consider the analytic information, intervention implementation, and modes of human-machine interaction made available by advancements in AI-related technology. The second dimension enables the identification and incorporation of insights from recent research on implicit bias intervention. We argue that a design strategy that combines complementary interventions can further enhance the effectiveness of interventions by targeting the various interacting cognitive systems that underlie implicit bias. We end with a discussion of how our cognitive interventions framework can have positive downstream effects for structural problems. (shrink)

There is good evidence that many people harbour attitudes that conflict with those they endorse. In the language of social psychology, they seem to have implicit attitudes that conflict with their explicit beliefs. There has been a great deal of attention paid to the question whether agents like this are responsible for actions caused by their implicit attitudes, but much less to the question whether they can rightly be described as racist in virtue of harbouring them. In this paper, I (...) attempt to answer this question using three different standards, providing by the three dominant kinds of accounts of racism. I argue that on none of these accounts should agents like this be described as racists. However, it would be misleading to say, without qualification, that they are not racists. On none of these accounts are agents like this entirely off the hook. (shrink)

Many philosophers as well as psychologists hold that implicit biases are due to unconscious attitudes. The justification for this unconscious-claim seems to be an inference to the best explanation of the mismatch between explicit and implicit attitudes, which is characteristic for implicit biases. The unconscious-claim has recently come under attack based on its inconsistency with empirical data. Instead, Gawronski et al. (2006) analyze implicit biases based on the so-called Associative-Propositional Evaluation (APE) model, according to which implicit attitudes are phenomenally conscious (...) and accessible. The mismatch between the explicit and the implicit attitude is explained by the Cognitive Inconsistency Approach (CIA) (as I will call it): implicit attitudes are conscious but rejected as basis for explicit judgments because the latter lead to cognitive inconsistency with respect to other beliefs held by the subject. In this paper, I will argue that the CIA is problematic since it cannot account for the fact that implicit attitudes underlying implicit biases typically are unconscious. I will argue that a better explanation of the attitude-mismatch can be given in terms of a Neo-Freudian account of repression. I will develop such an account, and I will show how it can accommodate the merits of the APE model while avoiding the problems of the CIA. (shrink)

Often machine learning programs inherit social patterns reflected in their training data without any directed effort by programmers to include such biases. Computer scientists call this algorithmic bias. This paper explores the relationship between machine bias and human cognitive bias. In it, I argue similarities between algorithmic and cognitive biases indicate a disconcerting sense in which sources of bias emerge out of seemingly innocuous patterns of information processing. The emergent nature of this bias obscures the existence of the bias itself, (...) making it difficult to identify, mitigate, or evaluate using standard resources in epistemology and ethics. I demonstrate these points in the case of mitigation techniques by presenting what I call ‘the Proxy Problem’. One reason biases resist revision is that they rely on proxy attributes, seemingly innocuous attributes that correlate with socially-sensitive attributes, serving as proxies for the socially-sensitive attributes themselves. I argue that in both human and algorithmic domains, this problem presents a common dilemma for mitigation: attempts to discourage reliance on proxy attributes risk a tradeoff with judgement accuracy. This problem, I contend, admits of no purely algorithmic solution. (shrink)

Research programs in empirical psychology over the past few decades have led scholars to posit implicit biases. This is due to the development of innovative behavioural measures that have revealed aspects of our cognitions which may not be identified on self-report measures requiring individuals to reflect on and report their attitudes and beliefs. But what does it mean to characterise such biases as implicit? Can we satisfactorily articulate the grounds for identifying them as bias? And crucially, what sorts of cognitions (...) are in fact being measured; what mental states or processes underpin such behavioural responses? In this paper, we outline some of the philosophical and empirical issues engaged when attempting to address these three questions. Our aim is to provide a constructive taxonomy of the issues, and how they interrelate. As we will see, any view about what implicit bias is may depend on a range of prior theoretical choices. (shrink)

In this paper, I set out some desiderata for a model of implicit cognition. I present test cases and suggest that, when considered in light of them, some recent models of implicit cognition fail to satisfy these desiderata. The test cases also bring to light an important class of cases that have been almost completely ignored in philosophical discussions of implicit cognition and implicit bias. These cases have important work to do in helping us understand both the role of implicit (...) cognition in action and our attempts to combat implicit biases. (shrink)

How are biases encoded in our representations of social categories? Philosophical and empirical discussions of implicit bias overwhelmingly focus on salient or statistical associations between target features and representations of social categories. These are the sorts of associations probed by the Implicit Association Test and various priming tasks. In this paper, we argue that these discussions systematically overlook an alternative way in which biases are encoded, that is, in the dependency networks that are part of our representations of social categories. (...) Dependency networks encode information about how features in a conceptual representation depend on each other. This information determines the degree of centrality of a feature for a conceptual representation. Importantly, centrally encoded biases systematically disassociate from those encoded in salient-statistical associations. Furthermore, the degree of centrality of a feature determines its cross-contextual stability: in general, the more central a feature is for a concept, the more likely it is to survive into a wide array of cognitive tasks involving that concept. Accordingly, implicit biases that are encoded in the central features of concepts are predicted to be more resilient across different tasks and contexts. As a result, the distinction between centrally encoded and salient-statistical biases has important theoretical and practical implications. (shrink)

Philosophers and psychologists have argued that fiction can ethically educate us: fiction supposedly can make us better people. This view has been contested. It is, however, rarely argued that fiction can morally “corrupt” us. In this article, we focus on the alleged power of fiction to decrease one's prejudices and biases. We argue that if fiction has the power to change prejudices and biases for the better, then it can also have the opposite effect. We further argue that fictions are (...) more likely to be a bad influence than a good one. (shrink)

Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person on the basis of irrelevant characteristics such as race or gender. This review examines the evidence that healthcare professionals display implicit biases towards patients. PubMed, PsychINFO, PsychARTICLE and CINAHL were searched for peer-reviewed articles published between 1st March 2003 and 31st March 2013. Two reviewers assessed the eligibility of the identified papers based on precise content and quality criteria. The references of eligible papers were (...) examined to identify further eligible studies. Forty two articles were identified as eligible. Seventeen used an implicit measure, to test the biases of healthcare professionals. Twenty five articles employed a between-subjects design, using vignettes to examine the influence of patient characteristics on healthcare professionals’ attitudes, diagnoses, and treatment decisions. The second method was included although it does not isolate implicit attitudes because it is recognised by psychologists who specialise in implicit cognition as a way of detecting the possible presence of implicit bias. Twenty seven studies examined racial/ethnic biases; ten other biases were investigated, including gender, age and weight. Thirty five articles found evidence of implicit bias in healthcare professionals; all the studies that investigated correlations found a significant positive relationship between level of implicit bias and lower quality of care. The evidence indicates that healthcare professionals exhibit the same levels of implicit bias as the wider population. The interactions between multiple patient characteristics and between healthcare professional and patient characteristics reveal the complexity of the phenomenon of implicit bias and its influence on clinician-patient interaction. The most convincing studies from our review are those that combine the IAT and a method measuring the quality of treatment in the actual world. Correlational evidence indicates that biases are likely to influence diagnosis and treatment decisions and levels of care in some circumstances and need to be further investigated. Our review also indicates that there may sometimes be a gap between the norm of impartiality and the extent to which it is embraced by healthcare professionals for some of the tested characteristics. Our findings highlight the need for the healthcare profession to address the role of implicit biases in disparities in healthcare. More research in actual care settings and a greater homogeneity in methods employed to test implicit biases in healthcare is needed. (shrink)

Resolving religious disagreements is difficult, for beliefs about religion tend to come with strong biases against other views and the people who hold them. Evidence can help, but there is no agreed-upon policy for weighting it, and moreover bias affects the content of our evidence itself. Another complicating factor is that some biases are reliable and others unreliable. What we need is an evidence-weighting policy geared toward negotiating the effects of bias. I consider three evidence-weighting policies in the philosophy of (...) religion and advocate one of them as the best for promoting the resolution of religious disagreements. (shrink)

The received view of implicit bias holds that it is associative and unreflective. Recently, the received view has been challenged. Some argue that implicit bias is not predicated on “any” associative process, but it is unreflective. These arguments rely, in part, on debiasing experiments. They proceed as follows. If implicit bias is associative and unreflective, then certain experimental manipulations cannot change implicitly biased behavior. However, these manipulations can change such behavior. So, implicit bias is not associative and unreflective. This paper (...) finds philosophical and empirical problems with that argument. When the problems are solved, the conclusion is not quite right: implicit bias is not necessarily unreflective, but it seems to be associative. Further, the paper shows that even if legitimate non-associative interventions on implicit bias exist, then both the received view and its recent contender would be false. In their stead would be interactionism or minimalism about implicit bias. (shrink)

Richard Moran’s theory of first-person authority as the agential authority to make up one’s own mind rests on a form of mind-body dualism that does not allow for habituation as part of normal psychological functioning. We have good intuitive and empirical reason to accept that habituation is central to the normal functioning of desire. There is some empirical support for the idea that habituation plays a parallel role in belief. In particular, at least one form of implicit bias seems better (...) understood as a case of habituated belief than as a mere association or an example of what Tamar Gendler calls ‘alief’. If there is to be genuine first-person epistemic authority over persisting mental states, therefore, an alternative account to Moran’s is required in the case of desire and perhaps in the case of belief. More generally, the neglect of habituation in recent philosophy of mind is a symptom of the need for philosophers to take the temporal structure of rational agency more seriously. (shrink)

“Implicit bias” is a term of art referring to relatively unconscious and relatively automatic features of prejudiced judgment and social behavior. While psychologists in the field of “implicit social cognition” study “implicit attitudes” toward consumer products, self-esteem, food, alcohol, political values, and more, the most striking and well-known research has focused on implicit attitudes toward members of socially stigmatized groups, such as African-Americans, women, and the LGBTQ community.[1] For example, imagine Frank, who explicitly believes that women and men are equally (...) suited for careers outside the home. Despite his explicitly egalitarian belief, Frank might nevertheless implicitly associate women with the home, and this implicit association might lead him to behave in any number of biased ways, from trusting feedback from female co-workers less to hiring equally qualified men over women. Psychological research on implicit bias is relatively recent (§1), but a host of metaphysical (§2), epistemological (§3), and ethical questions (§4) about implicit bias are pressing.[2]. (shrink)

I argue that there exists a natural kind social bias that subsumes seemingly heterogenous cases of implicit bias and other forms of social cognition. I explore the implications of this explicated notion of bias for the organization of the mind, theories of consciousness, and the system-dependence of biases.

In recent work, Mark Alfano and Jennifer Saul have put forward a similar kind of provocative sceptical challenge. Both appeal to recent literature in empirical psychology to show that our judgments across a wide range of cases are riddled with unreliable cognitive heuristics and biases. Likewise, they both conclude that we know a lot less than we have hitherto supposed, at least on standard conceptions of what knowledge involves. It is argued that even if one grants the empirical claims that (...) Saul and Alfano make, the sceptical conclusion that they canvass might not be as dramatic as it first appears. It is further argued, however, that one can reinstate a more dramatic sceptical conclusion by targeting their argument not at knowledge but rather at the distinct epistemic standing of understanding. (shrink)

Orthodox literature on bias follows what I call the Dualistic Alignment Hypothesis. The basis of this dualistic paradigm culminates in the assumption that there is a principled distinction between explicit attitudes and implicit bias and the behaviour guided by each. In this thesis I do two things. First, I challenge the dualistic paradigm on empirical and conceptual grounds. Further, I show that dualistic thinking faces serious challenges. Ultimately, I reject the dualistic paradigm as the best explanatory theory of bias. Second, (...) I propose a novel explanatory hypothesis of the data, the mosaic view. I argue that the mosaic view is grounded in a more realistic understanding of social evaluations. What underpins social behaviour are not two unified, stable, and distinct mental kinds, but rather a complex conglomeration of interacting elements of mind within a network I call a stance. The principal idea underlying the mosaic view is that social behaviour is best considered as the result of complex interactions between elements of a stance, activated differently across contexts, and interacting with background beliefs, commitments, values, and other mental states. (shrink)

The fallacies, as traditionally conceived, are wrong ways of reasoning that nevertheless appear attractive to us. Recently, however, Woods (2013) has argued that they don’t merit such a title, and that what we take to be fallacies are instead largely virtuous forms of reasoning. This reformation of the fallacies forms part of Woods’ larger project to naturalize logic. In this paper I will look to his analysis of the argumentum ad hominem as a case study for the prospects of this (...) project. I will argue that the empirical literature on implicit bias presents a difficulty for the reformation of the ad hominem as cognitively virtuous. Cases where implicit bias influences our assessment of the truth or claim or argument are instances of ad hominem reasoning, and these qualify as fallacious on Woods’ own definition. (shrink)