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)

This chapter is centered around an apparent tension that research on implicit bias raises between virtue and social knowledge. Research suggests that simply knowing what the prevalent stereotypes are leads individuals to act in prejudiced ways—biasing decisions about whom to trust and whom to ignore, whom to promote and whom to imprison—even if they reflectively reject those stereotypes. Because efforts to combat discrimination obviously depend on knowledge of stereotypes, a question arises about what to do next. This chapter argues (...) that the obstacle to virtue is not knowledge of stereotypes as such, but the “accessibility” of such knowledge to the agent who has it. “Accessibility” refers to how easily knowledge comes to mind. Social agents can acquire the requisite knowledge of stereotypes while resisting their pernicious influence, so long as that knowledge remains, in relevant contexts, relatively inaccessible. (shrink)

Endre Begby’s Prejudice: A Study in Non-Ideal Epistemology engages a wide range of issues of enduring interest to epistemologists, applied ethicists, and anyone concerned with how knowledge and justice intersect. Topics include stereotypes and generics, evidence and epistemic justification, epistemic injustice, ethical-epistemic dilemmas, moral encroachment, and the relations between blame and accountability. Begby applies his views about these topics to an equally wide range of pressing social questions, such as conspiracy theories, misinformation, algorithmic bias, discrimination, and criminal justice. Through (...) it all, the book’s central thesis is that prejudices can be epistemically rational, a corrective against what Begby takes to be the received view that prejudices are always and everywhere bad. However, Begby’s arguments do not engage consistently with relevant empirical literatures, misrepresent the positions of his interlocutors, and rehearse ideas already well-established across a range of intellectual traditions. (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)

How, if at all, do the findings of social psychology impact upon philosophical analyses of discrimination? In this chapter, I outline key findings from three research programs from psychology – concerning in-group/out-group favoritism; implicit bias; and stereotype threat. I argue that each set of findings presents challenges to how philosophical analyses of group discrimination are formulated, and propose possible revisions to be explored in future work.

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)

Stereotypes are commonly alleged to be false or inaccurate views of groups. For shorthand, I call this the falsity hypothesis. The falsity hypothesis is widespread and is often one of the first reasons people cite when they explain why we shouldn’t use stereotypic views in cognition, reasoning, or speech. In this essay, I argue against the falsity hypothesis on both empirical and ameliorative grounds. In its place, I sketch a more promising view of stereotypes—which avoids the falsity hypothesis—that joins my (...) earlier work on stereotypes in individual psychology with the work of Patricia Hill Collins on cultural stereotypes. According to this two-part hybrid theory, stereotypes are controlling images or ideas that enjoy both a psychological and cultural existence, which serve a regulative social function. (shrink)

Research programs in empirical psychology from the past two decades have revealed implicit biases. Although implicit processes are pervasive, unavoidable, and often useful aspects of our cognitions, they may also lead us into error. The most problematic forms of implicit cognition are those which target social groups, encoding stereotypes or reflecting prejudicial evaluative hierarchies. Despite intentions to the contrary, implicit biases can influence our behaviours and judgements, contributing to patterns of discriminatory behaviour. These patterns of discrimination are obviously wrong (...) and unjust. But in remedying such wrongs, one question to be addressed concerns responsibility for implicit bias. Unlike some paradigmatic forms of wrongdoing, such discrimination is often unintentional, unendorsed, and perpetrated without awareness; and the harms are particularly damaging because they are cumulative and collectively perpetrated. So, what are we to make of questions of responsibility? In this article, we outline some of the main lines of recent philosophical thought, which address questions of responsibility for implicit bias. We focus on (a) the kind of responsibility at issue; (b) revisionist versus nonrevisionist conceptions of responsibility as applied to implicit bias; and (c) individual, institutional, and collective responsibility for implicit bias. (shrink)

Recent empirical research has substantiated the finding that very many of us harbour implicit biases: fast, automatic, and difficult to control processes that encode stereotypes and evaluative content, and influence how we think and behave. Since it is difficult to be aware of these processes - they have sometimes been referred to as operating 'unconsciously' - we may not know that we harbour them, nor be alert to their influence on our cognition and action. And since they are difficult to (...) control, considerable work is required to prevent their influence. We here focus on the implications of these findings for epistemology. We first look at ways in which implicit biases thwart our knowledge seeking practices (sections 1 & 2). Then we set out putative epistemic benefits of implicit bias, before considering ways in which epistemic practices might be improved (section 3). Finally, we consider the distinctive challenges that the findings about implicit bias pose to us as philosophers, in the context of feminist philosophy in particular (section 4). (shrink)

I argue that introspection recruits the same mental mechanism as that which is required for the production of ordinary speech acts. In introspection, in effect, we intentionally tell ourselves that we are in some mental state, aiming thereby to produce belief about that state in ourselves. On one popular view of speech acts, however, this is precisely what speakers do when speaking to others. On this basis, I argue that every bias discovered by social epistemology applies to introspection and (...) other forms of self-directed representation. If so, it becomes unclear in what sense social epistemology is social. (shrink)

To what extent should we focus on implicit bias in order to eradicate persistent social injustice? Structural prioritizers argue that we should focus less on individual minds than on unjust social structures, while equal prioritizers think that both are equally important. This article introduces the framework of transactive memory into the debate to defend the equal priority view. The transactive memory framework helps us see how structure can emerge from individual interactions as an irreducibly social product. If (...) this is right, then debiasing interventions are structural interventions. One upshot is that the utility of the individual versus structural distinction is not apparent for the purposes of intervention. (shrink)

Information providing and gathering increasingly involve technologies like search ‎engines, which actively shape their epistemic surroundings. Yet, a satisfying account ‎of the epistemic responsibilities associated with them does not exist. We analyze ‎automatically generated search suggestions from the perspective of social ‎epistemology to illustrate how epistemic responsibilities associated with a ‎technology can be derived and assigned. Drawing on our previously developed ‎theoretical framework that connects responsible epistemic behavior to ‎practicability, we address two questions: first, given the different technological ‎possibilities (...) available to searchers, the search technology, and search providers, ‎who should bear which responsibilities? Second, given the technology’s ‎epistemically relevant features and potential harms, how should search terms be ‎autocompleted? Our analysis reveals that epistemic responsibility lies mostly with ‎search providers, which should eliminate three categories of autosuggestions: those ‎that result from organized attacks, those that perpetuate damaging stereotypes, and ‎those that associate negative characteristics with specific individuals.‎. (shrink)

This paper explains how discrimination and COVID-19 related stigmas are intertwined. When people stigmatize COVID-19 victims, they act in ways for which the victims suffer status loss and discrimination. As a result, they do not enjoy participatory parity in various aspects of their life making COVID-19 related stigmatization a deplorable instance of discrimination. But a society already fraught with discrimination is a breeding ground of stigmatization often because of people’s fear and anxiety about their life once they become a patient (...) of a disease like COVID-19. (shrink)

Discussions in social psychology overlook an important way in which biases can be encoded in conceptual representations. Most accounts of implicit bias focus on ‘mere associations’ between features and representations of social groups. While some have argued that some implicit biases must have a richer conceptual structure, they have said little about what this richer structure might be. To address this lacuna, we build on research in philosophy and cognitive science demonstrating that concepts represent dependency relations between features. (...) These relations, in turn, determine the centrality of a feature f for a concept C: roughly, the more features of C depend on f, the more central f is for C. In this paper, we argue that the dependency networks that link features can encode significant biases. To support this claim, we present a series of studies that show how a particular brilliance-gender bias is encoded in the dependency networks which are part of the concepts of female and male academics. We also argue that biases which are encoded in dependency networks have unique implications for social cognition. (shrink)

The discrepancy between individual women and the stereotypes attributed to the group as a ‎whole has become progressively greater and more explicit over the course of history. The stereotypes remain the same age-old ‎allegations whilst the ‎developments in the occupations of women and the traits they have opportunity to express have increased the distance between women and those ascribed traits. Stereotypes’ abstention from revision in light of contrary evidence constitutes an epistemic paradox for it entails conflict between the stereotypical knowledge (...) and empirical evidence, as well as between the stereotypical knowledge and other empirical knowledges. This paradox of stubbornness also raises the question as to the epistemic source of stereotypes. For, people at young ages encounter evidence which should have formed a more complex knowledge regarding women rather than the pervasive stereotypical knowledge. It is this extremity of absurdness of stereotypes regarding women that is utile to understanding stereotypes as a whole. The epistemic paradox that is engrained in all stereotypes is exposed uncompromisingly by this group. The paradox cannot be dismissed with excuses of having a small basis of evidence, such as may be said regarding other social groups with which one may have had minimal or no contact. Thus, stereotypes of women provide a limit case to understanding the epistemology of this paradoxical form of knowledge. The traits and epistemic phenomena which render stereotypes epistemically puzzling and intriguing is the relationship between knowledges. Stereotypical knowledge regarding women as a group conflict with one’s experience-founded knowledges of particular women, deeming the corporate body of knowledge incoherent. Quine’s theory of knowledge, with its holistic empirical approach endorsing conceptual schemes, provides fertile ground for this analysis. The novelty in his account is his establishment of the criteria of coherency, which shifts the focal point of epistemic inquiry away from the adequacy of individual knowledges with empirical evidence to the intra-knowledge relationships themselves. In his empiricism, Quine rather examines the interactions between knowledges and the overarching coherence of the body of knowledge as a holistic unit. Quine creates place in his account for mechanism which provide for the epistemic incongruences of stubbornness and conflict found between stereotypical knowledges and empirical evidence. These very mechanisms are what this paper requests to examine. Quine, ultimately, formulates knowledge as a collectively held fabric consisting of relations and of posits – socially constructed mechanisms which are empirically-irreducible and implemented pragmatically for the organisation of empirical evidence. According to Quine, the fabric formation is a conceptual scheme sourced in social heritage. People are bestowed with an eclectic framework of ‎knowledge to pragmatically merge between an inherited, collective conceptual scheme and the personally experienced empirical evidence. This paper will delve into Quine’s fabric of knowledge, its relations, and inner-mechanisms. The finding of stereotypes to be an age-old posit entrenched pragmatically – thus stubbornly – in the collective conceptual scheme, will explain the epistemic paradoxes they entail and offer insight to their revision in light of empiric reality and its women. (shrink)

Philosophical literature has focused on the concept of trust, but often considers distrust merely as an afterthought. Distrust however, because of its pervasive role in our everyday lives, can be quite damaging. Thus, understanding the rationality of distrust is crucial for understanding our testimonial practices. In this paper I analyze whether it is rational or irrational to distrust an informant on the basis of identity bias. My aim is to show that distrust is irrational when based on negative identity bias. (...) First, I adopt Annalisa Coliva’s account of social hinge epistemology where it is rationally required to assume certain basic presuppositions, such that people are generally reliable informants, to obtain propositional justification and participate in the testimonial practice. Secondly, I show how distrust based on negative identity bias can spread across other domains of interaction and jeopardize the testimonial practice as we fail to assume that people are generally reliable informants. Thirdly, I argue that considering bias as a defeater is beneficial to maintain the claim that bias-based distrust is irrational, as it prevents the acquisition of propositional justification. Finally, I show that distrust is rational when based on evidence and reason that the speaker is not reliable or sincere. (shrink)

In “Stereotyping as Discrimination: Why Thoughts Can Be Discriminatory,” I propose that stereotyping someone—even if you manage to keep your thoughts hidden and don’t act on them—can constitute a form of discrimination (2021b). What, Alex Madva asks, are the practical implications of this claim? Even if I am correct that stereotyping constitutes a form of discriminatory treatment, it’s still possible that people should keep on speaking and acting as if “discrimination” refers exclusively to behaviors and policies. He (...) invites me to explore the “potential payoffs and perils” of referring to thoughts and perceptions as discriminatory, especially as they relate to legal practice and social-scientific inquiry (2021, 46). (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)

If someone says, “You’ve stereotyped me,” we hear the statement as an accusation. One way to interpret the accusation is as follows: you haven’t seen or treated me as an individual. In this essay, I interpret and evaluate a theory of wrongful stereotyping inspired by this thought, which I call the failure-to-individualize theory of wrongful stereotyping. According to this theory, stereotyping is wrong if and only if it involves failing to treat persons as individuals. I argue that (...) the theory—however one interprets it—is inadequate. Either the theory will not reliably identify all cases of wrongful stereotyping or it will fail to adequately explain why they are wrong. I conclude that it does not follow that we must entirely jettison the objection that stereotyping fails to treat persons as individuals. What follows is only that the objection must play a more circumscribed role in a theory of when and why stereotyping is wrong. (shrink)

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)

I’m to push back on Hill’s (2022) criticism in four ways. First: we need some context for the debate that occurred in the pages of the Social Epistemology Review and Reply Collective that so concerns Hill. Second: getting precise with our terminology (and not working with stereotypes) is the only theoretically fruitful way to approach the problem of conspiracy theories. Third: I address Hill’s claim there is no evidence George W. Bush or Tony Blair accused their critics, during the (...) build-up the invasion of Iraq in 2003ACE, as being “conspiracy theorists.” Fourth (and finally): I will gently suggest that Hill has succumbed to a stereotypical view of work in Philosophy on conspiracy theories. (shrink)

Research suggests that interventions involving extensive training or counterconditioning can reduce implicit prejudice and stereotyping, and even susceptibility to stereotype threat. This research is widely cited as providing an “existence proof” that certain entrenched social attitudes are capable of change, but is summarily dismissed—by philosophers, psychologists, and activists alike—as lacking direct, practical import for the broader struggle against prejudice, discrimination, and inequality. Criticisms of these “debiasing” procedures fall into three categories: concerns about empirical efficacy, about practical feasibility, and (...) about the failure to appreciate the underlying structural-institutional nature of discrimination. I reply to these criticisms of debiasing, and argue that a comprehensive strategy for combating prejudice and discrimination should include a central role for training our biases away. (shrink)

Recent research in the field of social robotics has shed light on the considerable role played by biases in the design of social robots. Cues that trigger widespread biased expectations are implemented in the design of social robots to increase their familiarity and boost interaction quality. Ethical discussion has focused on the question concerning the permissibility of leveraging social biases to meet the design goals of social robotics. As a result, integrating ethically problematic social (...) biases in the design of robots-such as, e.g., discriminatory gender stereotypes-has been opposed as morally unacceptable. Building on this debate, the present paper explores a related but different question: would it be permissible to design social robots in ways that intentionally challenge widespread discriminatory social biases, thus fostering moral education? The analysis shows that, while the potential benefits of such a design strategy could be significant, its practical endorsement raises important ethical issues. Hence, caution and further discussion are advised. (shrink)

We argue that the interaction of biased media coverage and widespread employment of the recognition heuristic can produce epistemic injustices. First, we explain the recognition heuristic as studied by Gerd Gigerenzer and colleagues, highlighting how some of its components are largely external to, and outside the control of, the cognitive agent. We then connect the recognition heuristic with recent work on the hypotheses of embedded, extended, and scaffolded cognition, arguing that the recognition heuristic is best understood as an instance of (...) scaffolded cognition. In section three, we consider the double-edged sword of cognitive scaffolding. On the one hand, scaffolds can reduce the internal processing demands on cognitive agents while increasing their access to information. On the other hand, the use of scaffolding leaves cognitive agents increasingly vulnerable to forming false beliefs or failing to form beliefs at all about particular topics. With respect to the recognition heuristic, agents rely on third parties (such as the media) to report not just what’s true but also what’s important or valuable. This makes cognitive agents relying on these third parties vulnerable to two erroneous influences: 1) because they don’t recognize something, it isn’t important or valuable, and 2) because they do recognize something, it is important or valuable. Call the latter the Kardashian Inference and the former the Darfur Inference. In section four, we use Fricker’s (2007) concept of epistemic injustice to characterize the nature and harm of these false inferences, with special emphasis on the Darfur Inference. In section five, we use data-mining and an empirical study to show how Gigerenzer’s population estimation task is liable to produce Darfur Inferences. We conclude with some speculative remarks on more important Darfur Inferences, and how to avoid them by scaffolding better. One primary way to accomplish this it to shift the burden of embodying the virtue of epistemic justice from the hearer or consumer of media to the media themselves. (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)

According to a common view, prejudice always involves some form of epistemic culpability, i.e., a failure to respond to evidence in the appropriate way. I argue that the common view wrongfully assumes that prejudices always involve universal generalizations. After motivating the more plausible thesis that prejudices typically involve a species of generic judgment, I show that standard examples provide no grounds for positing a strong connection between prejudice and epistemic culpability. More generally, the common view fails to recognize the extent (...) to which prejudices are epistemically insidious: once they are internalized as background beliefs, they quite reasonably come to control the assessment and interpretation of new evidence. This property of insidiousness helps explain why prejudices are so recalcitrant to empirical counterevidence and also why they are frequently invisible to introspective reflection. (shrink)

Hostile epistemology is the study of how environmental features exploit our cognitive vulnerabilities. I am particularly interested in those vulnerabilities arise from the basic character of our epistemic lives. We are finite beings with limited cognitive resources, perpetually forced to reasoning a rush. I focus on two sources of unavoidable vulnerability. First, we need to use cognitive shortcuts and heuristics to manage our limited time and attention. But hostile forces can always game the gap between the heuristic and the ideal. (...) Second, we need to trust others, and trust makes us vulnerable. In particular, we need to trust experts whose expertise lies beyond our individual ability to vet. So we must rely on various imperfect signals and proxies, like institutional affiliation, to manage our trust. We are forced to use these imperfect and exploitable forms of reasoning, in order to cope with a cognitively overwhelming world. I present the hostile epistemology framework as a counterbalance to vice epistemology, which tends to locate responsibility for bad beliefs in the character of the believer. I draw two conclusions from my analysis. First: suppose we accept that that only communities and institutions can know about the world. This deeply social approach doesn’t solve the problem of expert identification. The individual still faces a problem: given their incomplete understanding, how should the individual pick which group to trust? Second: we might have hoped to get some kind of static picture of the right principles of reasoning — but hostile epistemology presents a different picture. We have to use risky heuristics and shortcuts, which hostile forces can game and exploit. We can respond by shifting to a different set of heuristics, but this simply shifts the location of our vulnerabilities. These new heuristics are also exploitable. There is no end to this, only a constant struggle to adapt. Limited beings in a hostile epistemic environment are locked in an unending epistemic arms race. (shrink)

Humans typically display hindsight bias. They are more confident that the evidence available beforehand made some outcome probable when they know the outcome occurred than when they don't. There is broad consensus that hindsight bias is irrational, but this consensus is wrong. Hindsight bias is generally rationally permissible and sometimes rationally required. The fact that a given outcome occurred provides both evidence about what the total evidence available ex ante was, and also evidence about what that evidence supports. Even if (...) you in fact evaluate the ex ante evidence correctly, you should not be certain of this. Then, learning the outcome provides evidence that if you erred, you are more likely to have erred low rather than high in estimating the degree to which the ex ante evidence supported the hypothesis that that outcome would occur. (shrink)

In this position paper, we introduce a new epistemic lens for analyzing algorithmic harm. We argue that the epistemic lens we propose herein has two key contributions to help reframe and address some of the assumptions underlying inquiries into algorithmic fairness. First, we argue that using the framework of epistemic injustice helps to identify the root causes of harms currently framed as instances of representational harm. We suggest that the epistemic lens offers a theoretical foundation for expanding approaches to algorithmic (...) fairness in order to address a wider range of harms not recognized by existing technical or legal definitions. Second, we argue that the epistemic lens helps to identify the epistemic goals of inquiries into algorithmic fairness. There are two distinct contexts within which we examine algorithmic harm: at times, we seek to understand and describe the world as it is, and, at other times, we seek to build a more just future. The epistemic lens can serve to direct our attention to the epistemic frameworks that shape our interpretations of the world as it is and the ways we envision possible futures. Clarity with respect to which epistemic context is relevant in a given inquiry can further help inform choices among the different ways of measuring and addressing algorithmic harms. We introduce this framework with the goal of initiating new research directions bridging philosophical, legal, and technical approaches to understanding and mitigating algorithmic harms. (shrink)

In this paper, I will argue that it is a moral obligation for companies, firstly, to accept their moral responsibility with respect to non-discrimination, and secondly, to address the issue with a full-fledged programme, including but not limited to the countering of microsocial discrimination processes through specific policies. On the basis of a broad sketch of how some discrimination mechanisms are actually influencing decisions, that is, causing intended as well as unintended bias in Human Resources Management, I will argue that (...) the well known tools of legislation and ethical codes are necessary although insufficient to cope with the problem. However, based on empirical evidence, we know which set of measures is likely to diminish discrimination. Taking non-discrimination seriously implies complex and longitudinal policies which include assigning responsibility for a non-discrimination policy within the firm, making managers conscious of implicit stereotypes and helping them to cope with prejudices that no one can totally overcome. Insofar as corporate responsibility with respect to non-discrimination is accepted and strategies that are not prohibitively expensive are known, companies are bound to implement them. Not implementing the best set of measures may be considered at least as a moral shortcoming or, depending on the size of the company, mere lip service to the non-discrimination principle. Although the paper refers to empirical material of diverse backgrounds, its intent is clearly normative. It wishes to spell out what companies ought to do if they are committed to responsible behaviour. The discussion of effective remedies against discrimination is based on a case study of a French company. The retailer Auchan was recently surprised to learn that it was discriminating against ethnic minorities despite strong ethical standards, an ethics committee and ethical leadership. The company dropped its naïve beliefs and set up an ambitious policy cope with the issue. The case illustrates what recent empirical research has revealed about the effectiveness of diversity policies: establishing responsibility for diversity results, firm ethical commitment and support from top management make diversity programs effective. (shrink)

If A confirms H and B confirms H, it seems reasonable to infer that A&B confirms H. However, this inference is not valid; it is only a heuristic. I show that the level of confirmation A and B each give to H by itself implies nothing about the level of confirmation that A&B gives to H. Any combination of values is possible for P(H), P(H|A), P(H|B) and P(H|AB) is possible. Still, I show the heuristic leads from true premises to true (...) conclusions whenever A and B are statistically independent or correlated,which includes most situations where we evaluate evidence. There is risk, though, when one does not consider how A and B interact; one can miss anti-correlations that lead the heuristic to fail. The problem is exacerbated when groups of people are motivated to support a favored hypothesis. Each person finds evidence that confirms the hypothesis and contributes that evidence to the group’s discourse (e.g. through a climate change denial website). The temptation to focus solely on the number of individual pieces of evidence can lead people to ignore whether the evidence fits together. In combination with cognitive biases, this can lead to serious errors. (shrink)

Peer reviewers at many funding agencies and scientific journals are asked to score submissions both on individual criteria and overall. The overall scores should be some kind of aggregate of the criteria scores. Carole Lee identifies this as a potential locus for bias to enter the peer review process, which she calls commensuration bias. Here I view the aggregation of scores through the lens of social choice theory. I argue that, when reviewing grant proposals, it is in many cases (...) impossible to avoid commensuration bias. (shrink)

Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainable artificial intelligence (XAI) is a recent development aiming to make an AI system’s decision processes less opaque and to expose its problematic biases. This paper argues against technical XAI, according to which the detection and interpretation of algorithmic bias can (...) be handled more or less independently by technical experts who specialize in XAI methods. Drawing on resources from feminist epistemology, we show why technical XAI is mistaken. Specifically, we demonstrate that the proper detection of algorithmic bias requires relevant interpretive resources, which can only be made available, in practice, by actively involving a diverse group of stakeholders. Finally, we suggest how feminist theories can help shape integrated XAI: an inclusive social-epistemic process that facilitates the amelioration of algorithmic bias. (shrink)

In this paper I argue that certain ways in which the relationship among discrimination, emotions and health is presented can undermine equity. I identify a model of this relationship the discrimination-emotion-health model - and claim that while the model is important for understanding the detrimental impact that discrimination and oppression can have on emotions and health, certain implications of the model are troubling. I identify six critiques of the model, and show that equity could be undermined, for example, when stereotypes (...) of the oppressed are reinforced and the experiences of the privileged are normalized. I then assess the implications of my analysis of the model and its critique for a framework of health equity, demonstrating what such a framework would need to look like in order for it to best represent discrimination as a psychosocial determinant of health. (shrink)

Critical notice of Puddifoot, Katherine. 2021. How Stereotypes Deceive Us. NY: OUP.--------- -/- Kathy Puddifoot makes a compelling and enlightening case for a striking pair of claims: 1) false stereotypes sometimes steer us to the truth, while 2) true stereotypes often lead us into error. This is a wonderful book, a seamless integration of epistemology with ethics, of philosophy with social science, and of “mainstream” or “Western analytic” approaches with marginalized and underappreciated contributions from critical social traditions, especially (...) black feminism. The integrations are so seamless, in fact, as to give the reader the impression that Puddifoot is simply picking up conversations already underway. Instead, she has done a tremendous service in bringing representatives from wide-ranging, often-siloed disciplines into dialogue. Another virtue of Puddifoot’s book is how thoroughly it maps out the actual and possible views and logical spaces revolving around each topic she addresses. How Stereotypes Deceive Us could therefore be used to introduce budding epistemologists to the field, as it offers clear and careful explanations of leading approaches to a range of topics, including virtue epistemology, theory of mind, and more. (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)

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)

Migrant women are often stereotyped. Some scholars associate the feminization of migration with domestic work and criticize the “care drain” as a new form of imperialism that the First World imposes on the Third World. However, migrant women employed as domestic workers in Northern America and Europe represent only 2% of migrant women worldwide and cannot be seen as characterizing the “feminization of migration”. Why are migrant domestic workers overestimated? This paper explores two possible sources of bias. The first is (...) sampling: conclusions about “care drain” are often generalized from small samples of domestic workers. The second stems from the affect heuristic: imagining children left behind by migrant mothers provokes strong feelings of injustice which trump other considerations. The paper argues that neither source of bias is unavoidable and finds evidence of gender stereotypes in the “care drain” construal. (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 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)

Although the impact of so-called “sponsorship bias” has been the subject of increased attention in the philosophy of science, what exactly constitutes its epistemic wrongness is still debated. In this paper, I will argue that neither evidential accounts nor social–epistemological accounts can fully account for the epistemic wrongness of sponsorship bias, but there are good reasons to prefer social–epistemological to evidential accounts. I will defend this claim by examining how both accounts deal with a paradigm case from medical (...) epistemology, recently discussed in a paper by Bennett Holman. I will argue that evidential accounts cannot adequately capture cases of sponsorship bias that involve the manufacturing of certainty because of their neutrality with respect to the role of non-epistemic values in scientific practice. If my argument holds, it further highlights the importance of integrating social and ethical concerns into epistemological analysis, especially in applied contexts. One can only properly grasp sponsorship bias as an epistemological problem if one resists the methodological tendency to analyze social, ethical, and epistemological issues in isolation from each other. (shrink)

Confirmation bias is one of the most widely discussed epistemically problematic cognitions, challenging reliable belief formation and the correction of inaccurate views. Given its problematic nature, it remains unclear why the bias evolved and is still with us today. To offer an explanation, several philosophers and scientists have argued that the bias is in fact adaptive. I critically discuss three recent proposals of this kind before developing a novel alternative, what I call the ‘reality-matching account’. According to the account, confirmation (...) bias evolved because it helps us influence people and social structures so that they come to match our beliefs about them. This can result in significant developmental and epistemic benefits for us and other people, ensuring that over time we don’t become epistemically disconnected from social reality but can navigate it more easily. While that might not be the only evolved function of confirmation bias, it is an important one that has so far been neglected in the theorizing on the bias. (shrink)

This paper aims to disclose an expression of age and workplace discrimination in the Lithuanian labor market. The paper is discussing theoretical aspects of age discrimination and presents the results of the sociological survey research results carried out in 2014. The purpose of this paper is to disclose age and workplace discrimination at the Lithuanian labor market. Analysis of scientific literature and quantitative research results allows to state that older adults are experiencing discrimination because of, among others, their age, gender, (...) and stereotypes. Research results revealed that age and workplace discrimination is increasing with the age of the respondents, e.g., the expression in older age groups is more intensive. For the age group of 40-50, age discrimination is lower than the full sample average. Age discrimination is exposing for the age group of 56-60 and is the most intensive for persons 60 years old and older. The research results revealed that older employees have obstacles for career and future perspectives; older people are more often facing discriminative behavior, lacking social justice, insufficient personal respect labor relations, and are more often experiencing pressure to leave the job or facing unreasonable dismissal. (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)

People don't always speak the truth. When they don't, we do better not to trust them. Unfortunately, that's often easier said than done. People don't usually wear a ‘Not to be trusted!’ badge on their sleeves, which lights up every time they depart from the truth. Given this, what can we do to figure out whom to trust, and whom not? My aim in this paper is to offer a partial answer to this question. I propose a heuristic—the “Humility Heuristic”—which (...) is meant to help guide our search for trustworthy advisors. In slogan form, the heuristic says: people worth trusting admit to what they don't know. I give this heuristic a precise probabilistic interpretation, offer a simple argument for it, defend it against some potential worries, and demonstrate its practical worth by showing how it can help address some difficult challenges in the relationship between experts and laypeople. (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)

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)

A common response to claims of bias, harassment, or discrimination is to say that these claims are made in bad faith. Claimants are supposedly not motivated by a credible or even sincere belief that unfair or unequal treatment has occurred, but simply seek to illicitly gain public sympathy or private reward. Characterizing discrimination claims as systematically made in bad faith enables them to be screened and dismissed prior to engaging with them on their merits. This retort preserves the dominant group’s (...) self-image as unprejudiced and innocent without having to risk critical analysis of the claim’s substance. (shrink)