Implicit Bias

In Tobia (2016), Kevin P. Tobia tests for bias using two ontological arguments claimed to be symmetrical and of equal strength. We show they are neither.

What factors affect judicial decision-making? The legal system is of utmost importance because of its impact on our lives. Judges appear to have the most power among any social workers seeing as the precedents set in their decisions are tantamount to written law. Nevertheless, judges may be subject to certain biases, moral and cognitive alike, which influence their rulings. Looking into how morality and cognitive biases affect judges may also reveal how we as individuals handle combining morals with ethics- as (...) well as whether any discrepancies among ourselves are justifiable. An investigation into relevant moral and jurisprudential theories revealed much about the inner workings of a judge’s mindset- whether he or she recognizes it or not. Coupling this with corroborated research on a select few heuristics present specifically for judges sets the foundation for an array of possible solutions in order to ensure the most impartial judicial proceedings. Plausible remedies include conducting premortems, implicit association tests, and a revised ruling procedure. (shrink)

Recently, psychologists have developed indirect measurement procedures to predict suicidal behavior. A prominent example is the Death/Suicide Implicit Association Test (DS-IAT). In this paper, I argue that there is something special about the DS-IAT which distinguishes it from different IAT measures. I argue that the DS-IAT does not measure weak or strong associations between the implicit self-concept and the abstract concept of death. In contrast, assuming a goal-system approach, I suggest that sorting death-related to self-related words takes effort because death-related (...) words trigger avoidance-impulses, which suicide ideation weakens. The DS-IAT taps into weakened automatic responses from the self-preservation system. Additionally, the suggested cognitive structure, illuminated with the selfish-goal theory, explains predictable suicidal behavior. (shrink)

Deliberative democracy is increasingly criticised as out of touch with the realities of partisan politics. This paper considers the rise of fake and hyperpartisan news as one source of this scepticism. While popular accounts often blame such content on citizens’ political biases and motivated reasoning, I survey the empirical evidence and argue that it does not support strong claims about the inability of citizens to live up to deliberative ideals. Instead, much of this research is shown to support the deliberative (...) capacities of citizens and points to their potential in helping to reduce the spread of false and misleading content. (shrink)

I argue that influential recent discussions have whitewashed blame, characterizing it in ways that deemphasize or ignore its morally problematic features. I distinguish “definitional,” “creeping,” and “emphasis” whitewash, and argue that they play a central role in overall endorsements of blame by T.M. Scanlon, George Sher, and Miranda Fricker. In particular, these endorsements treat blame as appropriate by definition (Scanlon), or as little more than a wish (Sher), and infer from blame's having one useful function that it is a good (...) practice overall (Fricker). I use an analogy with revenge to illustrate the mechanisms of whitewashing, including broadening a concept to include available alternatives to it and inference from one feature of a practice to an overall conclusion about that practice. Several features of blame make it particularly prone to whitewashing, including blamers' personal or emotional stake in blaming and widespread disagreement about the nature of blame. I argue that a non‐whitewashing treatment of blame must pay closer attention both to blame's harms, and to comparisons between blame and alternative, non‐blaming reactions. (shrink)

Explicit knowledge is consciously accessible to the knower: the person can introspect what it is that they know and articulate it in the form of a statement (Dummett 1991, Davies 2015, Thompson 2023). If a person possesses some knowledge which they are unable to articulate to themselves or others, this knowledge is said to be implicit rather than explicit. Standard examples of implicit knowledge include a speaker’s knowledge of language, or practical knowledge such as how to ride a bike. The (...) concept of implicit knowledge, however, raises challenging philosophical questions. This piece explores some of the different ways in which cognitive psychology can attempt to explain implicit knowledge and considers how these scientific explanations relate to the more traditionally philosophical questions about the concept of implicit knowledge. (shrink)

How feasible are conceptual engineering projects of social concepts that aim for the engineered concept to be widely adopted in ordinary everyday life? Predominant frameworks on the psychology of concepts that shape work on stereotyping, bias, and machine learning have grim implications for the prospects of conceptual engineers: conceptual engineering efforts are ineffective in promoting certain social-conceptual changes. Specifically, since conceptual components that give rise to problematic social stereotypes are sensitive to statistical structures of the environment, purely conceptual change won’t (...) be possible without corresponding world change. This tradition, however, tends to ignore that concepts don’t only encode statistical, but also causal information. Paying attention to this feature of concepts, I argue, shows that conceptual engineering is not only possible. There is an imperative to conceptually-engineer. (shrink)

Hume argues that we succumb to the vice of prejudice when we fail to correct negative generalizations about social groups in the face of counter-evidence. We are blameworthy for these biases, moreover, even if they are unavoidable. Hume’s theory of doxastic responsibility entails that his own racial prejudices are deserving of condemnation. In contrast, contemporary vice epistemologists are more inclined to absolve agents of culpability for prejudices beyond their control.

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 on empirical findings, a number of philosophers have recently argued that people who use English as a foreign language may face a linguistic bias in academia in that they or their contributions may be perceived more negatively than warranted because of their English. I take a critical look at this argument. I first distinguish different phenomena that may be conceptualized as linguistic bias but that should be kept separate to avoid overgeneralizations. I then examine a range of empirical studies (...) that philosophers have cited to argue that people who use English as a foreign language are subject to linguistic bias in academia. I contend that many of these studies do not sufficiently support key claims that philosophers have made about linguistic bias, are challenged by counterevidence, and lack generalizability. I end by introducing methodological recommendations that may help philosophers develop more convincing empirically informed arguments regarding linguistic bias. (shrink)

Mentalizing is our ability to infer agents’ mental states. Attributing beliefs, knowledge, desires, and intentions are frequently discussed forms of mentalizing. Attributing mentalistically loaded stereotypes, personality traits, and evaluating others’ rationality are forms of mentalizing, as well. This broad conception of mentalizing has interesting and important implications for social epistemology. Several topics in social epistemology involve judgments about others’ knowledge, rationality, and competence, e.g., peer disagreement, epistemic injustice, and identifying experts. Mentalizing is at the core of each of these debates. (...) In this chapter, I describe the broad conception of mentalizing and show how it is central to how we judge others’ knowledge, competence, and rationality. I will apply this perspective on mentalizing to two debates: the epistemology of peer disagreement and interventions on testimonial injustice. I argue that understanding how mentalizing works can help us see these debates in a different light. Such reframing can help us make progress on these challenging debates. (shrink)

I argue that what speakers mean or express can be determined by their implicit or unconscious states, rather than explicit or conscious states. Further, on this basis, I show that the sincerity conditions for utterances can also be fixed by implicit states. This is a surprising result which goes against common assumptions about speech acts and sincerity. Roughly, I argue that the result is implied by two plausible and independent theories of the metaphysics of speaker meaning and, further, that this (...) is a robust basis on which to make an inference, with a fair degree of confidence, about the relationship between expression and implicit attitudes. (shrink)

Whenever we communicate, we inevitably have to say one thing before another. This means introducing particularly subtle patterns of salience into our language. In this paper, I introduce ‘order-based salience patterns,’ referring to the ordering of syntactic contents where that ordering, pretheoretically, does not appear to be of consequence. For instance, if one is to describe a colourful scarf, it wouldn’t seem to matter if one were to say it is ‘orange and blue’ or ‘blue and orange.’ Despite their apparent (...) triviality, I argue that order-based salience patterns tend to make the content positioned first more salient – in the sense of attention-grabbing – in a way that can have surprising normative implications. Giving relative salience to gender differences over similarities, for instance, can result in the activation of cognitively accessible beliefs about gender differences. Where those beliefs are epistemically and/or ethically flawed, we can critique the salience pattern that led to them, providing an instrumental way of evaluating those patterns. I suggest that order-based salience patterns can also be evaluated on constitutive grounds; talking about gender differences before similarities might constitute a subtle form of bias. Finally, I reflect on how the apparent triviality of order-based salience patterns in language gives them an insidious strength. (shrink)

Virtue theories can plausibly be argued to have important advantages over normative ethical theories which prescribe a strict impartialism in moral judgment, or which neglect people’s special roles and relationships. However, there are clear examples of both virtuous and vicious partiality in people’s moral judgments, and virtue theorists may struggle to adequately distinguish them, much as proponents of other normative ethical theories do. This paper first adapts the “expanding moral circle” concept and some literary examples to illustrate the difficulty of (...) adequately distinguishing virtuous from vicious partiality. Later sections aim to show how an adequate philosophical ethics will be able to both a) attribute virtue (and hence praiseworthiness) to agents whose actions may directly serve only their special interests, roles, or special relationships; and b) attribute vice (and hence censure) where an agent’s attitudes and/or actions mirror known personal biases (for instance, an egoistic attitude) or social biases (for instance, and ethnocentric attitude). This dual ability leaves space for much virtuous partiality, while also reflecting a “risk-aware” approach, recognizing the deleterious consequences of our human penchant for constructing and imbuing moral significance to oftentimes factitious us/them dichotomies. (shrink)

The central focus of this paper is to motivate and explore the question, when is it permissible to endorse a psychologizing explanation of a sincere interlocutor? I am interested in the moral question of when (if ever) we may permissibly dismiss the sincere reasons given to us by others, and instead endorse an alternative explanation of their beliefs and actions. I argue that there is a significant risk of wronging the other person, and so we should only psychologize when we (...) are in a position to know that they are in bad faith. (shrink)

Much has been made about the ways that implicit biases and other apparently unreflective attitudes can affect our actions and judgments in ways that negatively affect our ability to do right. What has been discussed less is that these attitudes negatively affect our freedom. In this paper, I argue that implicit biases pose a problem for free will. My analysis focuses on the compatibilist notion of free will according to which acting freely consists in acting in accordance with our reflectively (...) endorsed beliefs and desires. Though bias presents a problem for free action, I argue that there are steps agents can take to regain their freedom. One such strategy is for agents to cultivate better self-knowledge of the ways that their freedom depends on the relationship between their conscious and unconscious attitudes, and the way these work together to inform action and judgment. This knowledge can act as an important catalyst for agents to seek out and implement short- and long-term strategies for reducing the influence of bias, and I offer four proposals along these lines. The upshot is that though bias is a powerful influence on our actions, we need not resign ourselves to its negative effects for freedom. (shrink)

The standard associative account of implicit bias posits that the mind unavoidably mirrors the biased co-occurrences that are present in the environment. The resulting fatalistic view of implicit bias as inevitable and immutable is both scientifically unwarranted and societally counterproductive.

This piece is a comment on Quilty-Dunn, Jake, Nicolas Porot, and Eric Mandelbaum. 2023. “The Best Game in Town: The Reemergence of the Language-of-Thought Hypothesis across the Cognitive Sciences.” Behavioral and Brain Sciences 46: e261. -/- The target article signal boosts important ongoing work across the cognitive sciences. However, its theoretical claims, generative value, and purported contributions are – where not simply restatements of arguments extensively explored elsewhere – imprecise, noncommittal, and underdeveloped to a degree that makes them difficult to (...) evaluate. The article's apparent force results from engaging with straw rather than steel opponents. (shrink)

Niche construction theory highlights the active role of organisms in modifying their environment. A subset of these modifications is the developmental niche, which concerns ecological, epistemic, social and symbolic legacies inherited by organisms as resources that scaffold their developmental processes. Since in this theory development is a situated process that takes place in a culturally structured environment, we may reasonably ask if implicit cultural biases may, in some cases, be responsible for maladaptive developmental niches. In this paper we wish to (...) argue for an affirmative answer. In order to do so, we first propose to conceptualize implicit bias as embodied perceptual habits, and then proceed to show that these habits are at least partially responsible for maladaptive developmental niches of children with Down syndrome and autism. With this framework we thus hope to bring together two fields of research that haven’t been explicitly connected: implicit bias and niche construction theory. Linking these two theories may bring benefits both to implicit bias researchers, who can extend this concept to characterize other sets of processes as biased, as well as to niche construction theorists, who will have a useful theoretical tool to diagnose maladaptive features of niches brought about by sociocultural biases. (shrink)

The English language now dominates scientific communications. Yet, many scientists have English as their second language. Their English proficiency may therefore often be more limited than that of a ‘native speaker’, and their scientific contributions (e.g. manuscripts) in English may frequently contain linguistic features that disrupt the fluency of a reader’s, or listener’s information processing even when the contributions are understandable. Scientific gatekeepers (e.g. journal reviewers) sometimes cite these features to justify negative decisions on manuscripts. Such justifications may rest on (...) the prima facie plausible assumption that linguistic characteristics that hinder fast and easy understandability of scientific contributions are epistemically undesirable in science. I shall raise some doubts about this assumption by drawing on empirical research on processing fluency and its biasing effects. I also argue that directing scientists with English as a foreign language toward approaching ‘native-level’ English can have the negative consequence of reducing their potential to make scientific belief formation more reliable. These points suggest that one seemingly compelling justification for linguistically discriminating against scientific contributions in ‘non-native’ English is questionable and that the common insistence by scientific gatekeepers on ‘native-like’ English may be epistemically harmful to science. (shrink)

Mental representations remain the central posits of psychology after many decades of scrutiny. However, there is no consensus about the representational format(s) of biological cognition. This paper provides a survey of evidence from computational cognitive psychology, perceptual psychology, developmental psychology, comparative psychology, and social psychology, and concludes that one type of format that routinely crops up is the language-of-thought (LoT). We outline six core properties of LoTs: (i) discrete constituents; (ii) role-filler independence; (iii) predicate–argument structure; (iv) logical operators; (v) inferential (...) promiscuity; and (vi) abstract content. These properties cluster together throughout cognitive science. Bayesian computational modeling, compositional features of object perception, complex infant and animal reasoning, and automatic, intuitive cognition in adults all implicate LoT-like structures. Instead of regarding LoT as a relic of the previous century, researchers in cognitive science and philosophy-of-mind must take seriously the explanatory breadth of LoT-based architectures. We grant that the mind may harbor many formats and architectures, including iconic and associative structures as well as deep-neural-network-like architectures. However, as computational/representational approaches to the mind continue to advance, classical compositional symbolic structures – that is, LoTs – only prove more flexible and well-supported over time. (shrink)

Marine ecosystems are under increasing pressure from human activity, yet successful management relies on knowledge. The evidence-based policy (EBP) approach has been promoted on the grounds that it provides greater transparency and consistency by relying on ‘high quality’ information. However, EBP also creates epistemic responsibilities. Decision-making where limited or no empirical evidence exists, such as is often the case in marine systems, creates epistemic obligations for new information acquisition. We argue that philosophical approaches can inform the science-policy interface. Using marine (...) biosecurity examples, we specifically examine the epistemic challenges in the acquisition and acceptance of evidence to inform policy, discussing epistemic due care and biases in consideration of evidence. (shrink)

The "myside bias'' in evaluating arguments is an empirically well-confirmed phenomenon that consists of overweighting arguments that endorse one's beliefs or attack alternative beliefs while underweighting arguments that attack one's beliefs or defend alternative beliefs. This paper makes two contributions: First, it proposes a probabilistic model that adequately captures three salient features of myside bias in argument evaluation. Second, it provides a Bayesian justification of this model, thus showing that myside bias has a rational Bayesian explanation under certain conditions.

There is a correlation between positions taken on some scientific questions and political leaning. One way to explain this correlation is the cultural cognition hypothesis (CCH): people's political leanings are causing them to process evidence to maintain fixed answers to the questions, rather than to seek the truth. Another way is the different background belief hypothesis (DBBH): people of different political leanings have different background beliefs which rationalize different positions on these scientific questions. In this article, I argue for two (...) things. I argue that two attempts by proponents of the CCH to discredit the DBBH fail. And I argue that this matters, because while the CCH makes epistemic paternalistic interventions seem called for (as some philosophers have argued compellingly), the DBBH does not. The DBBH makes it much easier to stay closer to an ideal of deliberative democracy. (shrink)

Addressing biases in natural-language processing (NLP) systems presents an underappreciated ethical dilemma, which we think underlies recent debates about bias in NLP models. In brief, even if we could eliminate bias from language models or their outputs, we would thereby often withhold descriptively or ethically useful information, despite avoiding perpetuating or amplifying bias. Yet if we do not debias, we can perpetuate or amplify bias, even if we retain relevant descriptively or ethically useful information. Understanding this dilemma provides for a (...) useful way of rethinking the ethics of algorithmic bias in NLP. (shrink)

Based on a review of several “anomalies” in research using implicit measures, Machery (2021) dismisses the modal interpretation of participant responses on implicit measures and, by extension, the value of implicit measures. We argue that the reviewed findings are anomalies only for specific—influential but long-contested—accounts that treat responses on implicit measures as uncontaminated indicators of trait-like unconscious representations that coexist with functionally independent conscious representations. However, the reviewed findings are to-be-expected “normalities” when viewed from the perspective of long-standing alternative frameworks (...) that treat responses on implicit measures as the product of dynamic processes that operate on momentarily activated, consciously accessible information. Thus, although we agree with Machery that the modal view is empirically unsupported, we argue that implicit measures can make a valuable contribution to understanding the complexities of human behavior if they are used wisely in a way that acknowledges what they can and cannot do. (shrink)

The current debate on literary cognitivism in the philosophy of fiction typically assumes that we can rigorously distinguish between fictional and factual, and focuses on the question of whether and how works of fiction can impart propositional knowledge to the reader. In this paper we suggest that this way of framing the debate may be problematic. We argue that works of fiction almost inevitably include a reference to the real world and that – contrary to what is usually assumed – (...) the exchange between fiction and reality is vivid as well as potentially fruitful. We shed a new light on these complex dynamics by building on the metaphors of trade exchange and smuggling between the two worlds. While the current debate exclusively focuses on cognitively relevant goods that “officially” cross the border through “customs”, as it were, we show that exchanges between fiction and reality run deeper. Indeed, as we show, a substantial part of the cognitive impact that we derive from fiction goes “under the table” and is “smuggled” from fiction to reality. As such, it bypasses the audience’s conscious control, which in turn explains the manipulative force that fiction can exert. Smuggling takes place when cognitively relevant contents are passed on to the reader in subliminal ways, as it happens when they imprint implicit biases or prejudices, shift perspectives or subtly modify habits or patterns of behavior. By elaborating on the metaphors of trade exchange and smuggling, we aim at presenting a more comprehensive and nuanced understanding of the relations between fiction and reality and on the impact that imagination has on our real-world beliefs. (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)

Does algorithmic political bias contribute to an entrenchment and polarization of political positions? Franke argues that it may do so because the bias involves classifications of people as liberals, conservatives, etc., and individuals often conform to the ways in which they are classified. I provide a novel example of this phenomenon in human–computer interactions and introduce a social psychological mechanism that has been overlooked in this context but should be experimentally explored. Furthermore, while Franke proposes that algorithmic political classifications entrench (...) political identities, I contend that they may often produce the opposite result. They can lead people to change in ways that disconfirm the classifications. Consequently and counterintuitively, algorithmic political bias can in fact decrease political entrenchment and polarization. (shrink)

It has recently been argued that to tackle social injustice, implicit biases and unjust social structures should be targeted equally because they sustain and ontologically overlap with each other. Here I develop this thought further by relating it to the hypothesis of extended cognition. I argue that if we accept common conditions for extended cognition then people’s implicit biases are often partly realized by and so extended into unjust social structures. This supports the view that we should counteract psychological and (...) social contributors to injustice equally. But it also has a significant downside. If unjust social structures are part of people’s minds then dismantling these structures becomes more difficult than it currently is, as this will then require us to overcome widely accepted ethical and legal barriers protecting people’s bodily and personal integrity. Thus, while there are good grounds to believe that people’s biases and unjust social structures ontologically overlap, there are also strong ethical reasons to reject this view. Metaphysical and ethical intuitions about implicit bias hence collide in an important way. (shrink)

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized (...) conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science. (shrink)

The fog of war—poor intelligence about the enemy—can frustrate even a well-prepared military force. Something similar can happen in intellectual debate. What I call the *fog of debate* is a useful metaphor for grappling with failures and dysfunctions of argumentative persuasion that stem from poor information about our opponents. It is distressingly easy to make mistakes about our opponents’ thinking, as well as to fail to comprehend their understanding of and reactions to our arguments. After describing the fog of debate (...) and outlining its sources in cognition and communication, I consider a few policies we might adopt upon learning we are in this fog. (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)

This paper outlines a new type of skepticism that is both compatible with fallibilism and supported by work in psychology. In particular, I will argue that we often cannot properly trust our ability to rationally evaluate reasons, arguments, and evidence (a fundamental knowledge-seeking faculty). We humans are just too cognitively impaired to achieve even fallible knowledge, at least for many beliefs.

Epistemologists spend a great deal of time thinking about how we should respond to our evidence. They spend far less time thinking about the ways that evidence can be acquired in the first place. This is an oversight. Some ways of acquiring evidence are better than others. Many normative epistemologies struggle to accommodate this fact. In this article I develop one that can and does. I identify a phenomenon – epistemic feedback loops – in which evidence acquisition has gone awry, (...) with the result that even beliefs based on the evidence are irrational. Examples include evidence acquired under the influence of confirmation bias and evidence acquired under the influence of cognitively penetrated experiences caused by implicit bias. I then develop a theoretical framework which enables us to understand why beliefs that are the outputs of epistemic feedback loops are irrational. Finally, I argue that many popular approaches to epistemic normativity may need to be abandoned on the grounds that they cannot comfortably explain feedback loops. The scope of this last claim is broad: it includes almost all contemporary theories of justified/rational belief and of the epistemology of cognitive penetration. (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)

Comment on Beeghly, Erin. 2021. “Stereotyping as Discrimination: Why Thoughts Can Be Discriminatory.” Social Epistemology 35 (6): 547–63. -/- Beeghly’s “Stereotyping as Discrimination” is—characteristically—clear, thorough, and persuasive, rich with incisive arguments and thought-provoking case studies. In defending the view that stereotyping often constitutes discrimination, she makes a powerful case that, “Living ethically means cultivating a certain kind of ‘inner’ life and avoiding pernicious habits of thought, no matter how culturally pervasive” (Beeghly 2021b, 13). Support for such claims is traced back (...) not just to Aristotle and the Ten Commandments (Beeghly 2021b, 10), but also to critical social traditions. “As feminists and theorists of race have long noted, the most intimate aspects of our selves, including our ways of thinking, agency, and modes of embodiment, are among the mechanisms of group oppression” (Beeghly 2021b, 13). I offer, first, a tiny friendly amendment to one brief passage, followed by invitations to explore some of the further potential implications of Beeghly’s central theses. (shrink)

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)

Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...) in science. Focusing on ‘invisible’ diversity, I argue that in one common kind of group in science, if group members have full insight into their group’s diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group’s diversity. There is thus an epistemic reason for context-dependent limitations on scientists’ insight into the diversity of their group. (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)

Recent years have seen a surge of interest in implicit bias. Driving this concern is the thesis, apparently established by tests such as the IAT, that people who hold egalitarian explicit attitudes and beliefs, are often influenced by implicit mental processes that operate independently from, and are largely insensitive to, their explicit attitudes. We argue that implicit bias testing in social and empirical psychology does not, and without a fundamental shift in focus could not, establish this startling thesis. We suggest (...) that implicit bias research has been conducted in light of inadequate theories of racism and sexism. As a result, such testing has not sufficiently controlled for subjects’ prejudiced explicit beliefs and emotions, and has not ruled out the possibility that explicit prejudice best explains test subjects’ discriminatory associations and behavior. (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)

Are people with flawed faces regarded as having flawed moral characters? An “anomalous-is-bad” stereotype is hypothesized to facilitate negative biases against people with facial anomalies (e.g., scars), but whether and how these biases affect behavior and brain functioning remain open questions. We examined responses to anomalous faces in the brain (using a visual oddball paradigm), behavior (in economic games), and attitudes. At the level of the brain, the amygdala demonstrated a specific neural response to anomalous faces—sensitive to disgust and a (...) lack of beauty but independent of responses to salience or arousal. At the level of behavior, people with anomalous faces were subjected to less prosociality from participants highest in socioeconomic status. At the level of attitudes, we replicated previously reported negative character evaluations made about individuals with facial anomalies, and further identified explicit biases directed against them as a group. Across these levels of organization, the specific amygdala response to facial anomalies correlated with stronger just-world beliefs (i.e., people get what they deserve), less dispositional empathic concern, and less prosociality toward people with facial anomalies. Characterizing the “anomalous-is-bad” stereotype at multiple levels of organization can reveal underappreciated psychological burdens shouldered by people who look different. (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)

It is often assumed that trolling is an intentional action. The aim of the paper is to argue for a form of unintentional trolling. Firstly, we outline minimal conditions for intentional actions. Secondly, an unintentional trolling example is introduced. Thirdly, we will show that in some cases, an utterance can be expressive, while it is perceived as descriptive. On the basis of the justification-suppression model, we argue that the introduced trolling example is such a case. In order to bypass social (...) sanctions for expressing prejudices, agents unintentionally express their prejudices through stories that appear to be descriptive. Thereby, the characterized behavior does not fulfill the minimal conditions for intentional action. Fourthly, we give criteria that can be used to identify unintentional trolls. Finally, after unintentional trolling is analyzed, the trolls’ behavioral goals are considered. In conclusion, an analysis of unintentional trolling is given, which has explanatory benefits in contrast to the classic intentional trolling concepts. (shrink)

I offer here a new hypothesis about the nature of implicit attitudes. Psy- chologists and philosophers alike often distinguish implicit from explicit attitudes by maintaining that we are aware of the latter, but not aware of the former. Recent experimental evidence, however, seems to challenge this account. It would seem, for example, that participants are frequently quite adept at predicting their own perfor- mances on measures of implicit attitudes. I propose here that most theorists in this area have nonetheless overlooked (...) a commonsense distinction regarding how we can be aware of attitudes, a difference that fundamentally distinguishes implicit and explicit attitudes. Along the way, I discuss the implications that this distinction may hold for future debates about and experimental investigations into the nature of implicit attitudes. (shrink)

For almost half a century dual-stream advocates have vigorously defended the view that there are two functionally specialized cortical streams of visual processing originating in the primary visual cortex: a ventral, perception-related ‘conscious’ stream and a dorsal, action-related ‘unconscious’ stream. They furthermore maintain that the perceptual and memory systems in the ventral stream are relatively shielded from the action system in the dorsal stream. In recent years, this view has come under scrutiny. Evidence points to two overlapping action pathways: a (...) dorso-dorsal pathway that calculates features of the object to be acted on, and a ventro-dorsal pathway that transmits stored information about skilled object use from the ventral stream to the dorso-dorsal pathway. This evidence suggests that stored information may exert significantly more influence on visually guided action than hitherto assumed. I argue that this, in turn, supports the notion of skilled automatic action that is nonetheless agential. My focus here will be on actions influenced by implicit biases (stereotypes/prejudices). Action that is biased in this way, I argue, is in an important sense intentional and agential. (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)

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

It seems that intuitions are indispensable in philosophical theorizing. Yet, there is evidence that our intuitions are heavily influenced by biases. This generates a puzzle: we must use our intuitions, but we seemingly cannot fully trust those very intuitions. In this paper, I develop a methodology for philosophical theorizing which attempts to avoid this puzzle. Specifically, I develop and defend a methodology that I call Extra-Wide Reflective Equilibrium. I argue that this method allows us to use intuitions, while also providing (...) a mechanism to check the influence of bias on our intuitions. In section I, defend the claim that intuitions are indispensable in philosophical theorizing. In section II, I outline recent arguments against the reliability of intuitions. In section III, I explain and defend my account of Extra-Wide Reflective Equilibrium. (shrink)