Sally Haslanger has recently argued that philosophical focus on implicit bias is overly individualist, since social inequalities are best explained in terms of social structures rather than the actions and attitudes of individuals. I argue that questions of individual responsibility and implicit bias, properly understood, do constitute an important part of addressing structural injustice, and I propose an alternative conception of social structure according to which implicit biases are themselves best understood as a special type of (...) class='Hi'>structure. (shrink)

There is abundant evidence that most people, often in spite of their conscious beliefs, values and attitudes, have implicit biases. 'Implicit bias' is a term of art referring to evaluations of social groups that are largely outside conscious awareness or control. These evaluations are typically thought to involve associations between social groups and concepts or roles like 'violent,' 'lazy,' 'nurturing,' 'assertive,' 'scientist,' and so on. Such associations result at least in part from common stereotypes found in contemporary liberal societies (...) about members of these groups. Implicit Bias and Philosophy brings the work of leading philosophers and psychologists together to explore core areas of psychological research on implicit bias, as well as the ramifications of implicit bias for core areas of philosophy. Volume 2: Moral Responsibility, Structural Injustice, and Ethics is comprised of three sections. 'Moral Responsibility for Implicit Bias' contains chapters examining the relationship of implicit biases to concepts that are central to moral responsibility, including control, awareness, reasons-responsiveness, and alienation. The chapters in the second section--'Structural Injustice'--explore the connections between the implicit biases held by individuals and the structural injustices of the societies in which they are situated. And finally, the third section--'The Ethics of Implicit Bias: Theory and Practice'--contains chapters examining strategies for implicit attitude change, the ramifications of research on implicit bias for philosophers working in ethics, and suggestions for combatting implicit biases in the fields of philosophy and law. (shrink)

At the University of Sheffield between 2011 and 2012, a leading group of philosophers, psychologists, and others gathered to explore the nature and significance of implicit bias. The two volumes of Implicit Bias and Philosophy emerge from these workshops. Each volume philosophically examines core areas of psychological research on implicit bias as well as the ramifications of implicit bias for core areas of philosophy. Volume II: Moral Responsibility, Structural Injustice, and Ethics is comprised of three parts. (...) “Moral Responsibility for Implicit Bias” contains chapters examining the relationship of implicit biases to concepts that are central to moral responsibility, including control, awareness, reasons-responsiveness, and alienation. The chapters in the second part—“Structural Injustice”—explore the connections between the implicit biases held by individuals and the structural injustices of the societies in which they are situated. And finally, the third part—“The Ethics of Implicit Bias: Theory and Practice”—contains chapters examining strategies for implicit attitude change, the ramifications of research on implicit bias for philosophers working in ethics, and suggestions for combating implicit biases in the fields of philosophy and law. (shrink)

What is a bias? Standard philosophical views of both implicit and explicit bias focus this question on the representations one harbours, for example, stereotypes or implicit attitudes, rather than the ways in which those representations are manipulated. I call this approach representationalism. In this paper, I argue that representationalism taken as a general theory of psychological social bias is a mistake, because it conceptualizes bias in ways that do not fully capture the phenomenon. Crucially, this view (...) fails to capture a heretofore neglected possibility of bias, one that influences an individual’s beliefs about or actions toward others, but is, nevertheless, nowhere represented in that individual’s cognitive repertoire. In place of representationalism, I develop a functional account of psychological social bias which characterizes it as a mental entity that takes propositional mental states as inputs and returns propositional mental states as outputs in a way that instantiates social-kind inductions. This functional characterization leaves open which mental states and processes bridge the gap between the inputs and outputs, ultimately highlighting the diversity of candidates that can serve this role. (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)

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

We argue that work on norms provides a way to move beyond debates between proponents of individualist and structuralist approaches to bias, oppression, and injustice. We briefly map out the geography of that debate before presenting Charlotte Witt’s view, showing how her position, and the normative ascriptivism at its heart, seamlessly connects individuals to the social reality they inhabit. We then describe recent empirical work on the psychology of norms and locate the notions of informal institutions and soft structures (...) with respect to it. Finally, we argue that the empirical resources enrich Witt’s ascriptivism, and that the resulting picture shows theorists need not, indeed should not, choose between either the individualist or structuralist camp. (shrink)

In this paper, I argue against the view that the representational structure of the implicit attitudes responsible for implicitly biased behaviour is propositional—as opposed to associationist. The proposal under criticism moves from the claim that implicit biased behaviour can occasionally be modulated by logical and evidential considerations to the view that the structure of the implicit attitudes responsible for such biased behaviour is propositional. I argue, in particular, against the truth of this conditional. Sensitivity to logical and evidential (...) considerations, I contend, proves to be an inadequate criterion for establishing the true representational structure of implicit attitudes. Considerations of a different kind, which emphasize the challenges posed by the structural social injustice that implicit attitudes reflect, offer, I conclude, better support for deciding this issue in favour of an associationist view.En este artículo cuestiono la tesis de que la estructura representacional de las actitudes implícitas responsables del comportamiento implícitamente sesgado es proposicional—en lugar de asociacionista. De acuerdo con la propuesta criticada, si la conducta implícita sesgada puede ocasionalmente ser modulada por consideraciones lógicas y evidenciales, entonces la estructura de las actitudes implícitas responsables de esa conducta es proposicional. Cuestiono, en particular, la verdad de este condicional. Sostengo que la sensibilidad de las actitudes implícitas a consideraciones lógicas y evidenciales resulta ser un criterio inadecuado para establecer su verdadera estructura representacional. Consideraciones de otro tipo, que enfatizan los desafíos planteados por la injusticia social estructural que las actitudes implícitas reflejan, ofrecen, concluyo, un mejor apoyo para decidir esta cuestión a favor de una visión asociacionista. (shrink)

The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated (...) by counterconditioning or extinction but should not be modulated by rational argumentation or logical interventions. This hypothesis is false; implicit biases are not predicated on any associative structures or associative processes but instead arise because of unconscious propositionally structured beliefs. I conclude by discussing how the case study of implicit bias illuminates problems with popular dual-process models of cognitive architecture. (shrink)

Most people show unconscious bias in their evaluations of social groups, in ways that may run counter to their conscious beliefs. Volume 1 addresses key metaphysical and epistemological questions on this kind of implicit bias, while Volume 2 turns to the themes of moral responsibility and injustice.

David DeGrazia tentatively defends what he calls the Interests Model of moral status (see page 135).1 On this model all sentient beings have the same moral status, though some are owed more than others in virtue of having more or stronger interests. The proponent of this model can accept, say, that one should normally save the life of a human in preference to that of a dog. But she denies that we should save the human because he has higher moral (...) status. Instead, the human should be saved because he has more at stake—he may, for example, have a stronger interest in continued existence. In defending the Interests Model, DeGrazia cuts against the grain of recent theorising on moral status, which has instead favoured what he calls the Respect Model. (shrink)

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

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

Cesario misrepresents or ignores data on real-world racist and sexist patterns and processes in an attempt to discredit the assumptions of implicit bias experimentation. His position stands in stark contradiction to substantive research across the social sciences recognizing the widespread, systematic, and structuring processes of racism and sexism. We argue for centering the relationship between structural racism and individual bias.

One of the predominant debates in AI Ethics is the worry and necessity to create fair, transparent and accountable algorithms that do not perpetuate current social inequities. I offer a critical analysis of Reuben Binns’s argument in which he suggests using public reason to address the potential bias of the outcomes of machine learning algorithms. In contrast to him, I argue that ultimately what is needed is not public reason per se, but an audit of the implicit moral assumptions (...) of societies within which algorithms are built and applied. Public justification is appealing since it offers us the possibility to align the decision-making outcomes of the algorithm with the core moral values of stakeholders within a constitutional democratic society. My concern is that the common moral principles that form the foundation of public reason are not necessarily neutral, as they still express specific moral ideals and normative standards even if there is moral agreement by society as a whole, or among different stakeholders within society. Appealing to such normative standards may thus still lead to algorithmic outcomes being biased as common moral values may very well still be discriminatory even though they are formed from a consensus, and even if public reason is applied as a kind of filter for potential algorithmic outcomes. Hence, I argue that these implicit moral norms within society that we take as a given in public reasoning, need to be audited from generation to generation in order to effectively mitigate potential algorithmic bias. (shrink)

In this introduction, we acquaint readers with a selection of work coming out of the "Bias in Context" conference series, which ran from 2016 to 2017. Featured authors in the symposium include Gabriella Beckles-Raymond (writing about bad faith and implicit bias explanations), Daniel Kelly and Lacey Davidson (writing about gender norms and the internalization of social structures), and Alex Madva (writing about solutions to racial integration and an empirical mindset). We sketch the larger themes of the conference, as (...) well as how these three pieces of work fit into them. (shrink)

Written by a diverse range of scholars, this accessible introductory volume asks: What is implicit bias? How does implicit bias compromise our knowledge of others and social reality? How does implicit bias affect us, as individuals and participants in larger social and political institutions, and what can we do to combat biases? An interdisciplinary enterprise, the volume brings together the philosophical perspective of the humanities with the perspective of the social sciences to develop rich lines of inquiry. (...) It is written in a non-technical style, using relatable examples that help readers understand what implicit bias is, its significance, and the controversies surrounding it. Each chapter includes discussion questions and additional reading suggestions. A companion webpage contains teaching resources. The volume will be an invaluable resource for students—and researchers—seeking to understand criticisms surrounding implicit bias, as well as how one might answer them by adopting a more nuanced understanding of bias and its role in maintaining social injustice. (shrink)

Volume 20, Issue 7, July 2020, Page 112-114.

To arrive at their final evaluation of a manuscript or grant proposal, reviewers must convert a submission’s strengths and weaknesses for heterogeneous peer review criteria into a single metric of quality or merit. I identify this process of commensuration as the locus for a new kind of peer review bias. Commensuration bias illuminates how the systematic prioritization of some peer review criteria over others permits and facilitates problematic patterns of publication and funding in science. Commensuration bias also (...) foregrounds a range of structural strategies for realigning peer review practices and institutions with the aims of science. (shrink)

The rule against bias is a central tenet of English law and it also impacts on collegiate courts which typically exercise appellate/review jurisdictions over their professional or student members. This is true of the Bar Standards Board which has established the adjudicatory bodies to enforce its regulatory framework and has vested the procedure of fair trials upon the Council of the Inns of Court which is responsible for appointing the Disciplinary Tribunal panels that conduct hearings for professional misconduct. The (...) COIC has been exposed for ‘irregularities’ in the findings of guilt against barristers who have been adjudged by non-qualified judges. In R v Visitors to the Inns of Court and Ors [2014] EWCA Civ 1630, the Court of Appeal ruled that a disciplinary tribunal or a panel of visitors appointed from barristers or lay representatives outside its pool of enrolled judges would still ensure independence and guarantee freedom from outside pressure. The impugned tribunal members who were not entitled to sit nevertheless had authority to act as de facto judges. This part of the ruling reinforces the regulatory bodies inherent power to appoint its own tribunal to adjudicate and it needs a more rigorous application of natural justice principle on the part of the BSB. (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)

This paper takes as its focus efforts to address particular aspects of sexist oppression and its intersections, in a particular field: it discusses reform efforts in philosophy. In recent years, there has been a growing international movement to change the way that our profession functions and is structured, in order to make it more welcoming for members of marginalized groups. One especially prominent and successful form of justification for these reform efforts has drawn on empirical data regarding implicit biases and (...) their effects. Here, we address two concerns about these empirical data. First, critics have for some time argued that the studies drawn upon cannot give us an accurate picture of the workings of prejudice, because they ignore the intersectional nature of these phenomena. More recently, concerns have been raised about the empirical data supporting the nature and existence of implicit bias. Each of these concerns, but perhaps more commonly the latter, are thought by some to undermine reform efforts in philosophy. In this paper, we take a three-pronged approach to these claims. First, we show that the reforms can be motivated quite independently of the implicit bias data, and that many of these reforms are in fact very well suited to dealing with intersectional worries. Next, we show that in fact the empirical concerns about the implicit bias data are not nearly as problematic as some have thought. Finally, we argue that while the intersectional concerns are an immensely valuable criticism of early work on implicit bias, more recent work is starting to address these worries. (shrink)

In Britain, policy‐makers tend to view racism as a social attitude rather than an institutional/structural phenomenon. Not until the publication of the MacPherson Report (1999) was the idea of ‘institutional racism’ officially recognised. According to Jules Holroyd, implicit bias as a concept can help us understand and combat the kind of unwitting prejudice the Macpherson report describes. This article explores whether implicit bias is indeed a viable framework for understanding institutional/structural racism. To do so, I bring together Charles (...) Mills’ notion of ‘global white ignorance’ and Lewis Gordon's interpretation of ‘bad faith’. Through Mills’ and Gordon's analyses, which together illuminate both the structural and psychic dimensions of racism I offer an account of the psychodynamics of racism far more consistent with our observations of how racism actually operates in Britain. Specifically, we see that institutional/structural racism is neither unconscious nor is it unmotivated as implicit bias would suggest. As such, I reject implicit bias as a useful or necessary explanatory framework for helping us understand institutional racism as a structural phenomenon. (shrink)

In this article, I describe how gender bias can affect the design, testing, clinical trials, regulatory approval, and clinical use of implantable devices. I argue that bad outcomes experienced by women patients are a cumulative consequence of small biases and inattention at various points of the design, testing, and regulatory process. However, specific instances of inattention and bias can be difficult to identify, and risks are difficult to predict. This means that even if systematic gender bias in (...) implant design is an ethical issue, it is one with no clearly blameworthy player. From a practical perspective, there is no single obvious point at which to intervene. Philosophers working in other areas have explored structurally similar moral problems—sometimes referred to as “moral aggregation problems”—such as the type of environmental harm caused by small actions of many players. I describe key features of these type of problems and strategies to address them. I then draw on these to suggest an approach to gender bias in medical implant design and use. (shrink)

This chapter distinguishes between two concepts of moral responsibility. We are responsible for our actions in the first sense only when those actions reflect our identities as moral agents, i.e. when they are attributable to us. We are responsible in the second sense when it is appropriate for others to enforce certain expectations and demands on those actions, i.e. to hold us accountable for them. This distinction allows for an account of moral responsibility for implicit bias, defended here, on (...) which people may lack attributability for actions caused by implicit bias but are still accountable for them. What this amounts to is leaving aside appraisal-based forms of moral criticism such as blame and punishment in favor of non-appraising forms of accountability. This account not only does more justice to our moral experience and agency, but will also lead to more effective practices for combating the harms of implicit bias. (shrink)

In this paper, we show how game theoretic work on conversation combined with a theory of discourse structure provides a framework for studying interpretive bias and how bias affects the production and interpretation of linguistic content. We model the influence of author bias on the discourse content and structure of the author’s linguistic production and interpreter bias on the interpretation of ambiguous or underspecified elements of that content and structure. Interpretive bias is (...) an essential feature of learning and understanding but also something that can be exploited to pervert or subvert the truth. We develop three types of games to understand and to analyze a range of interpretive biases, the factors that contribute to them, and their strategic effects. (shrink)

Philosophy has a language problem. A recent study by Schwitzgebel, Huang, Higgins and Gonzalez-Cabrera (2018) found that, in a sample of papers published in elite journals, 97% of citations were to work originally written in English. 73% of this same sample didn’t cite any paper that had been originally written in a language other than English. Finally, a staggering 96% of elite journal editorial boards are primarily affiliated with an Anglophone university. This is consistent with earlier data suggesting that journal (...) submissions from countries that are outside the Anglophone world and Europe have disturbingly low chances of being accepted. The route forward is not entirely clear. What is clear, however, is that this structural disadvantage deserves closer philosophical and empirical attention. We owe this to current and future members of our philosophical community who speak English non-natively. We also need this if we want to make sure philosophy is enriched by a diverse group of thinkers who have a grasp of different languages, and of the cultures strongly associated with them. (shrink)

Proponents of temporal neutrality have challenged the intuitive appeal of future-bias: The intuitive appeal of future-bias is limited to a set of isolated cases that involve only hedonic and self-regarding goods and harms. They suggest that we should treat future-bias as irrational in self-regarding hedonic cases too, or at least not treat the intuitive appeal as evidence for future-bias's permissibility, since hedonic and non-hedonic cases are relevantly similar. This paper defends the rationality of future-bias against (...) this concern. Firstly, hedonic goods and harms mostly concern well-being at a time, while the proposed non-hedonic goods concern lifetime goodness. This is a relevant structural difference between hedonic and non-hedonic goods and harms that warrant different attitude patterns, including the applicability of future-bias. Secondly, the degree of idealisation required to make intuitions favour temporal neutrality obscures the weight of intuitions to a level that makes it unreliable as evidence against the permissibility of future-bias. As temporal neutralists need this degree of idealisation of their cases, the argument fails. In summary, we can keep using intuitive support as evidence for future-bias's rationality, at least when it comes to hedonic goods, but to some extent for its general permissibility. (shrink)

This paper takes as its focus efforts to address particular aspects of sexist oppression and its intersections, in a particular field: it discusses reform efforts in philosophy. In recent years, there has been a growing international movement to change the way that our profession functions and is structured, in order to make it more welcoming for members of marginalized groups. One especially prominent and successful form of justification for these reform efforts has drawn on empirical data regarding implicit biases and (...) their effects. Here, we address two concerns about these empirical data. First, critics have for some time argued that the studies drawn upon cannot give us an accurate picture of the workings of prejudice, because they ignore the intersectional nature of these phenomena. More recently, concerns have been raised about the empirical data supporting the nature and existence of implicit bias. Each of these concerns, but perhaps more commonly the latter, are thought by some to undermine reform efforts in philosophy. In this paper, we take a three- pronged approach to these claims. First, we show that the reforms can be motivated quite independently of the implicit bias data, and that many of these reforms are in fact very well suited to dealing with intersectional worries. Next, we show that in fact the empirical concerns about the implicit bias data are not nearly as problematic as some have thought. Finally, we argue that while the intersectional concerns are an immensely valuable criticism of early work on implicit bias, more recent work is starting to address these worries. (shrink)

The increasing implementation of and reliance on machine-learning (ML) algorithms to perform tasks, deliver services and make decisions in health and healthcare have made the need for fairness in ML, and more specifically in healthcare ML algorithms (HMLA), a very important and urgent task. However, while the debate on fairness in the ethics of artificial intelligence (AI) and in HMLA has grown significantly over the last decade, the very concept of fairness as an ethical value has not yet been sufficiently (...) explored. Our paper aims to fill this gap and address the AI ethics principle of fairness from a conceptual standpoint, drawing insights from accounts of fairness elaborated in moral philosophy and using them to conceptualise fairness as an ethical value and to redefine fairness in HMLA accordingly. To achieve our goal, following a first section aimed at clarifying the background, methodology and structure of the paper, in the second section, we provide an overview of the discussion of the AI ethics principle of fairness in HMLA and show that the concept of fairness underlying this debate is framed in purely distributive terms and overlaps with non-discrimination, which is defined in turn as the absence of biases. After showing that this framing is inadequate, in the third section, we pursue an ethical inquiry into the concept of fairness and argue that fairness ought to be conceived of as an ethical value. Following a clarification of the relationship between fairness and non-discrimination, we show that the two do not overlap and that fairness requires much more than just non-discrimination. Moreover, we highlight that fairness not only has a distributive but also a socio-relational dimension. Finally, we pinpoint the constitutive components of fairness. In doing so, we base our arguments on a renewed reflection on the concept of respect, which goes beyond the idea of equal respect to include respect for individual persons. In the fourth section, we analyse the implications of our conceptual redefinition of fairness as an ethical value in the discussion of fairness in HMLA. Here, we claim that fairness requires more than non-discrimination and the absence of biases as well as more than just distribution; it needs to ensure that HMLA respects persons both as persons and as particular individuals. Finally, in the fifth section, we sketch some broader implications and show how our inquiry can contribute to making HMLA and, more generally, AI promote the social good and a fairer society. (shrink)

Implicit bias results from living in a society structured by race. Tamar Gendler has drawn attention to several epistemic costs of implicit bias and concludes that paying some costs is unavoidable. In this paper, we reconstruct Gendler’s argument and argue that the epistemic costs she highlights can be avoided. Though epistemic agents encode discriminatory information from the environment, not all encoded information is activated. Agents can construct local epistemic environments that do not activate biasing representations, effectively avoiding the (...) consequences of activation. We conclude that changing our local environments provides a way to avoid paying implicit bias’s epistemic costs. (shrink)

Some cultural evolution researchers have argued for the importance of prestige bias as a systematic and widespread social learning bias, that structures human social learning and cultural transmission patterns. Broadly speaking, prestige bias accounts understand it as a bias towards copying ‘prestigious’ individuals. Prestige bias, along with other social learning biases, has been argued to pay a crucial role in allowing cumulative cultural selection to take place, thereby generating adaptations that are key to our success (...) as a species. However, I argue for skepticism about the plausibility and scope of a prestige bias account. I argue that although an account of prestige bias seems plausible or compelling on their face, it is committed to a particular view of the cognition underpinning the bias, and therefore to predictions regarding its flexibility and context-sensitivity. Given this, current empirical evidence gives us reason to doubt the explanatory value of a prestige bias account over a naive, goal-directed agent account. Additionally, the way that prestige is defined in empirical work is in tension with a general understanding of prestige, casting doubt upon its status as evidence of prestige bias. I examine two studies cited as evidence of prestige bias, arguing that in these cases we cannot clearly favour a prestige bias explanation over a goal-directed agent explanation. (shrink)

Women’s underrepresentation in science, technology, engineering, and mathematics (STEM) is related to the hierarchical social structure of gender relations in these fields. However, interventions to increase women’s participation have focused primarily on women’s interests rather than on STEM managers’ hiring practices. In this research, we examine STEM hiring practices, explore the implicit bias in criteria used by STEM managers, and suggest possible corrective solutions. Using an experimental design with 213 men and women STEM managers, we show that when (...) evaluating a female candidate, women and men STEM managers apply differential selection criteria, with men demonstrating implicit in-group gender favoritism in their hiring decisions. Specifically, the ability to work long hours was a more important criterion for male managers when evaluating a female candidate, forming an implicit gender bias, whereas female managers gave greater importance to problem-solving ability, a more gender-equal criterion. Adding a personal note to the curriculum vitae stating that the candidate had hired a full-time nanny was useful in decreasing the importance of the ability to work long hours criterion for men managers. We suggest individual and institutional interventions to reduce this bias, as a path to increasing women’s participation in STEM. (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)

Siegel recently distinguishes between seven possible ways in which our perceptual access to social information can be biased by flawed practice of either individuals or social structures, two of which, namely attention and cognitive penetration, imply that it is the content of perception, as opposed to that of judgments, that is biased. Both attention and cognitive penetration, however, rely on cognitive states imposing top-down influences on perceptual states. As such, perceptual bias resulting from them is to a large extent (...) merely a derivation of cognitive bias. In this paper, I propose another way in which our perception can be biased, namely, as the result of faulty assumptions made by the visual system. Furthermore, I argue that in contrast to cognitive penetration and attentional direction, perceptual bias arising in this way is fundamentally perceptual and does not depend on inputs from one’s cognitive system. This sort of perceptual bias, if it exists, would have important implications for how we conceptualize social bias and pose special challenges to traditional interventions designed to counteract bias. (shrink)

Our emotional lives are full of temporal asymmetries. Salient among these is that we tend to feel differently about painful or unpleasant events depending on their temporal location: we feel anxiety or trepidation about painful events we anticipate in the future, and relief when they are over. One question, then, is whether temporally asymmetric emotions such as relief have any ramifications for the metaphysics of time. On what has become the standard way of finessing this question, the asymmetry of relief (...) is an instance of the phenomenon of future-bias, a tendency to prefer painful events to be located in the past than in the future. The main question then posed is whether this pattern of preferences can be justified in the light of different metaphysical theories of time. In this paper I argue that this whole dialectic is misconceived. While many people may have future-biased preferences and these are a legitimate object of psychological study, this should be distinguished from the more basic phenomenon of relief that an unpleasant experience is over. Acknowledging the distinctness of these phenomena has two main consequences. First, if relief is not a manifestation of a time-biased preference, it is unclear what it would be for it to be justified or unjustified. This, in turn, should lead us to reassess how the psychology of relief bears on our metaphysical commitments. As I shall suggest, the real significance of the temporally asymmetric emotions for the metaphysics of time is that they manifest, and so reflection on them serves to draw our attention to, a structural feature of our awareness of the passage of time that resists re-articulation in other terms. (shrink)

In this paper I argue that some examples of what we label ‘algorithmic bias’ would be better understood as cases of institutional bias. Even when individual algorithms appear unobjectionable, they may produce biased outcomes given the way that they are embedded in the background structure of our social world. Therefore, the problematic outcomes associated with the use of algorithmic systems cannot be understood or accounted for without a kind of structural account. Understanding algorithmic bias as institutional (...) bias in particular (as opposed to other structural accounts) has at least two important upshots. First, I argue that the existence of bias that is intrinsic to certain institutions (whether algorithmic or not) suggests that at least in some cases, the algorithms now substituting as pieces of institutional norms or rules are not “fixable” in the relevant sense, because the institutions they help make up are not fixable. Second, I argue that in other cases, changing the algorithms being used within our institutions (rather than getting rid of them entirely) is essential to changing the background structural conditions of our society. (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)

While rapid advances in artificial intelligence hiring tools promise to transform the workplace, these algorithms risk exacerbating existing biases against marginalized groups. In light of these ethical issues, AI vendors have sought to translate normative concepts such as fairness into measurable, mathematical criteria that can be optimized for. However, questions of disability and access often are omitted from these ongoing discussions about algorithmic bias. In this paper, I argue that the multiplicity of different kinds and intensities of people’s disabilities (...) and the fluid, contextual ways in which they manifest point to the limits of algorithmic fairness initiatives. In particular, existing de-biasing measures tend to flatten variance within and among disabled people and abstract away information in ways that reinforce pathologization. While fair machine learning methods can help mitigate certain disparities, I argue that fairness alone is insufficient to secure accessible, inclusive AI. I then outline a disability justice approach, which provides a framework for centering disabled people’s experiences and attending to the structures and norms that underpin algorithmic bias. (shrink)

Individuals can do a broad variety of things with their words and enjoy different degrees of this capacity. What moderates this capacity? And in cases in which this capacity is unjustly disrupted, what is a good explanation for it? These are the questions I address here. I propose that speech capacity, understood as the capacity to do things with your words, is a structural property importantly dependent on individuals' position in a social structure. My account facilitates a non-individualistic explanation (...) of cases in which speech capacity is undermined due to speaker's perceived social identity, e.g. episodes of silencing. Instead of appealing to interlocutors' implicit bias against speaker's identity, a structural approach refers to the positions interlocutors occupy in the social structure and the discursive conventions operating upon those positions. I articulate my proposal drawing on the notion of affordances. Each position within a social structure is associated with its own range of speech affordances. Thus, speech capacity is a function of the probability distribution of speech affordances across positions in the structure. (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)