Implicit bias is one of the most successful cases in recent memory of an academic concept being translated into practice. Its use in the National Science Foundation ADVANCE program—which seeks to promote gender equality in STEM careers through institutional transformation—has raised fundamental questions about organizational change. How do advocates translate theories into practice? What makes some concepts more tractable than others? What happens to theories through this translation process? We explore these questions using the ADVANCE program as a case (...) study. Using an inductive, theory-building approach and combination of computational and qualitative methods, we investigate how the concept of implicit bias was translated into practice through the ADVANCE program and identify five key features that made implicit bias useful as a change framework in the academic STEM setting. We find that the concept of implicit bias works programmatically because it is demonstrable, relatable, versatile, actionable, and impartial. While enabling the concept’s diffusion, these characteristics also limit its scope. We reflect on implications for gender theories of organizational change and for practitioners. (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)

Revised simulation theory allows mental state attributions containing some or all of the attributor's genuine, non-simulated mental states. It is thought that this gives the revised theory an empirical advantage, because unlike theory theory and rationality theory, it can explain egocentric bias. I challenge this view, arguing that theory theory and rationality theory can explain egocentricity by appealing to heuristic mindreading and the diagnosticity of attributors' own beliefs, and that these explanations (...) are as simple and consistent as those provided by revised simulation theory. (shrink)

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist’s view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an (...) understanding of the ways that inequality is continually reproduced in society—processes that AI systems are either complicit in, or can be designed to disrupt and counter. The contrast presented here is between conservative and radical approaches to AI, with conservatism referring to dominant tendencies that reproduce and strengthen the status quo, while radical approaches work to disrupt systemic forms of inequality. The limitations of a conservative approach to racial bias are discussed through the specific example of biased criminal risk assessments and Indigenous overrepresentation in Canada’s criminal justice system. This illustrates the dangers of treating racial bias as a generalizable problem and equality as a generalizable solution, emphasizing the importance of considering inequality in context. Societal issues can no longer be out of scope for AI and machine learning, given the impact of these systems on human lives. This requires engagement with a growing body of critical AI scholarship that goes beyond biased data to analyze structured ways of perpetuating inequality, opening up the possibility for interdisciplinary engagement and radical alternatives. (shrink)

In a recent article, Bernáth and Tőzsér (2021) defend what they call the Bias Argument, a new skeptical argument from expert peer disagreement. They argue that the best contrastive causal explanation for disagreement among leading experts in philosophy is that they adopt their positions in a biased way. But if the leading experts are biased, non-experts either are also biased or only avoid bias through epistemic inferiority. Recognizing this is expected to prompt one to decrease one‘s confidence in (...) one‘s philosophical beliefs. This paper argues that some beliefs are immune to a key premise of the Bias Argument. To show this, the paper develops the concepts of self-favoring theories, decisive support, and standing-incommensurable disagreements. A plausible example of a self-favoring theory, dubbed Mere Reformed Protestantism, is sketched. Many disagreements over self-favoring theories and over beliefs decisively supported by self-favoring theories are shown to be standing-incommensurable. It is then argued that when non-experts are in standing-incommensurable disagreements with experts, the standards of assessing expertise are themselves controverted. This result undercuts the move in the Bias Argument from expert bias to non-expert bias. Finally, a couple reservations about the role of self-favoring theories in philosophy are addressed. (shrink)

This book is a philosophical exploration of bias and our practices of attributing it. It develops and defends the norm-theoretic account of bias, according to which objectionable biases involve systematic departures from objective norms or standards of correctness. It explores the perspectival character of bias attributions, or the ways in which our views about which people and sources of information are biased about a topic are influenced and constrained, both rationally and psychologically, by our views about the (...) topic itself. The book defends a robust pluralism about bias, according to which a radical diversity of things are genuinely biased, with none of these more fundamental than all of the rest. Biases of people are understood as multiply realizable dispositions to depart from objective norms. It offers a novel account of the bias blind spot, or our tendency to fail to see bias in ourselves in a way that we see it in others. It explores the connections between bias and central topics in the theory of knowledge, including truth, knowledge, rationality, reliability, introspection, skepticism, and disagreement. A number of racial conclusions are defended: that both rationality and morality sometimes require us to be biased; that in many cases of disagreement, we are rationally required to view those who disagree with us as biased, even if we know nothing about how they arrived at their views or why they hold them; and that even God could not have made us reliable detectors of our own biases through introspection. (shrink)

In a recent issue of this journal, Vandermassen suggested that feminists should include sexual selection theory and evolutionary psychology in a unifying theory of human nature. In response, this article aims to offer some insight into the development of sexual selection theory, to caution against Vandermassen's unreserved assimilation and to promote the opposite ongoing integration — an inclusion of gender perspectives into evolutionary biology. In society today, opinions about maintaining traditional sex roles are often put forward on (...) the basis of what is natural and how animals behave. However, the natural sciences have proved to be pervaded by gendered values and interests; Darwin's theory of sexual selection has been criticized for being male biased, and partly due to the unwillingness of Darwin's scientific contemporaries to accept female choice, research has been overwhelmingly focused on males. More recently, theory has become less gender biased and research has come to include a large variety of issues not present in the first version of the theory. However, there is a need to increase the awareness of gender bias in order to develop a gender-neutral evolutionary biology. (shrink)

Modelling the semantic behaviour of expressives in such a way that one be in a position to predict some, at least, of their distinctive properties is the purpose of any theory aiming at accounting for so-called expressive meaning. In this paper, we review a semantic framework coined by its author the Theory of Bias. We show that the two-tiered account of the meaning of expressives (notably, sentential interjections and pejorative epithets) favored by this framework has the resources (...) to provide a consistent explanation of their semantic behaviour in prima facie awkward statements such as ‘alas, I am unfavorably disposed towards something’ or ‘that stupid Trump isn’t stupid’. On the critical side, we argue that, not being intended to account for the meaning of expressives alone, the theory has hard times explaining the unshiftability of their bias, as opposed to the shiftability of the bias of discourse particles —a further member, according to some authors, of the category of expressives lato sensu— and that it fails to pinpoint unpluggability as the crucial test for expressive content. We conclude that, in spite of its merits, the theory need be theoretically enhanced and methodologically sharpened. (shrink)

This paper presents an intuitive explanation about why and how Rawlsian Theory of Justice (Rawls in A theory of justice, Harvard University Press, Harvard, 1971) provides the foundations to a solution for algorithmic bias. The contribution of the paper is to discuss and show why Rawlsian ideas in their original form (e.g. the veil of ignorance, original position, and allowing inequalities that serve the worst-off) are relevant to operationalize fairness for algorithmic decision making. The paper also explains (...) how this leads to a specific MinMaxfairness solution, which addresses the basic challenges of algorithmic justice. We combine substantive elements of Rawlsian perspective with an intuitive explanation in order to provide accessible and practical insights. The goal is to propose and motivate why and how the MinMaxfairness solution derived from Rawlsian principles overcomes some of the current challenges for algorithmic bias and highlight the benefits provided when compared to other approaches. The paper presents and discusses the solution by building a bridge between the qualitative theoretical aspects and the quantitative technical approach. (shrink)

In this study, we examine the belief bias effect in syllogistic reasoning under both standard presentation and in a condition where participants are required to respond within 10 seconds. As predicted, the requirement for rapid responding increased the amount of belief bias observed on the task and reduced the number of logically correct decisions, both effects being substantial and statistically significant. These findings were predicted by the dual-process account of reasoning, which posits that fast heuristic processes, responsible for (...) belief bias, compete with slower analytic processes that can lead to correct logical decisions. Requiring rapid responding thus differentially inhibits the operation of analytic reasoning processes, leading to the results observed. (shrink)

Emergence of the modern science of international law is usually attributed to Grotius and other somewhat heroic ‘founders of international law.’ This book offers a more worldly explanation why it was developed mostly by German writers ...

_Anthropic Bias_ explores how to reason when you suspect that your evidence is biased by "observation selection effects"--that is, evidence that has been filtered by the precondition that there be some suitably positioned observer to "have" the evidence. This conundrum--sometimes alluded to as "the anthropic principle," "self-locating belief," or "indexical information"--turns out to be a surprisingly perplexing and intellectually stimulating challenge, one abounding with important implications for many areas in science and philosophy. There are the philosophical thought experiments and paradoxes: (...) the Doomsday Argument; Sleeping Beauty; the Presumptuous Philosopher; Adam & Eve; the Absent-Minded Driver; the Shooting Room. And there are the applications in contemporary science: cosmology ; evolutionary theory ; the problem of time's arrow ; quantum physics ; game-theory problems with imperfect recall ; even traffic analysis. _Anthropic Bias_ argues that the same principles are at work across all these domains. And it offers a synthesis: a mathematically explicit theory of observation selection effects that attempts to meet scientific needs while steering clear of philosophical paradox. (shrink)

Future-biased agents care not only about what experiences they have, but also when they have them. Many believe that A-theories of time justify future bias. Although presentism is an A-theory of time, some argue that it nevertheless negates the justification for future bias. Here, I claim that the alleged discrepancy between presentism and future bias is a special case of the cross-time relations problem. To resolve the discrepancy, I propose an account of future bias as (...) a preference for certain tensed truths properly relativized to the present. (shrink)

AI systems have often been found to contain gender biases. As a result of these gender biases, AI routinely fails to adequately recognize the needs, rights, and accomplishments of women. In this article, we use Axel Honneth’s theory of recognition to argue that AI’s gender biases are not only an ethical problem because they can lead to discrimination, but also because they resemble forms of misrecognition that can hurt women’s self-development and self-worth. Furthermore, we argue that Honneth’s theory (...) of recognition offers a fruitful framework for improving our understanding of the psychological and normative implications of gender bias in modern technologies. Moreover, our Honnethian analysis of gender bias in AI shows that the goal of responsible AI requires us to address these issues not only through technical interventions, but also through a change in how we grant and deny recognition to each other. (shrink)

Traditional aesthetic theories emphasize pleasure, while recent non-hedonistic approaches prioritize “getting it right” in aesthetic engagement. This paper critiques Dominic McIver Lopes’s and C. Thi Nguyen’s theories by arguing that correctness is neither the necessary guiding norm nor the constitutive or right motivator. Instead, I propose bias reduction—minimizing the improper influence of prior outlooks. This shift from correctness to minimizing distortion better captures aesthetic agency and allows for pluralism and radical disagreement.

In analyzing implicit bias, one key issue is to clarify its metaphysical nature. In this paper, I develop a novel account of implicit bias by highlighting a particular kind of belief-like state that is partly constituted by phenomenal experiences. I call these states ‘qualiefs’ for three reasons: qualiefs draw upon qualitative experiences of what an object seems like to attribute a property to this very object, they share some of the distinctive features of proper beliefs, and they also (...) share some characteristics of what Gendler calls ‘aliefs’. I proceed as follows: First, I develop a general theory of qualiefs. Second, I argue that implicit bias involves generic qualiefs that involve experiences that have been shaped by stereotypes. Elaborating on the particular content of a generic qualief, I explain why we are unaware of the bias even though it involves an experience. Third, I demonstrate that the qualief-model best explains the key features of implicit bias: it accounts for the biases´ implicitness and automaticity. Moreover, it elucidates how implicit bias can be insensitive to logical form and evidence, but at the same time it can serve as propositional input to further mental states. (shrink)

The mental model theory predicts variations in the percentage of errors in meta-propositional reasoning tasks but does not specify the nature of these errors. In the present study, we drew predictions concerning the nature of errors in a meta-propositional reasoning task by importing and elaborating the distinction between implicit and explicit models previously applied by the mental model theory to the domain of propositional reasoning. An experiment was conducted in which participants were asked to solve problems concerning the (...) truth or falsity of propositional assertions. The task was to determine the truth-status of two persons making a propositional assertion about their own truth-status and/or the truth-status of the other person. The results were consistent with the hypothesis that people may reason in ways that differ in the extent to which initially implicit models are made explicit. As such, the results corroborate a basic principle of the mental model theory: the errors that reasoners make are consistent with at least one of the mental models they construct during the process of reasoning. (shrink)

This paper presents a very simple model in which situational cues associated with a particular consumption good compel an agent—who may have otherwise been “thinking about” something else—to consider the decision to consume that good. Within this framework, it is shown how an endowment effect and a present bias can arise through a common mechanism. The analysis points to a novel, contributing role for inattention in understanding both of these behavioral anomalies while also speaking to evidence that they are (...) often cue-induced. (shrink)

Having a confirmation bias sometimes leads us to hold inaccurate beliefs. So, the puzzle goes: why do we have it? According to the influential argumentative theory of reasoning, confirmation bias emerges because the primary function of reason is not to form accurate beliefs, but to convince others that we’re right. A crucial prediction of the theory, then, is that confirmation bias should be found only in the reasoning domain. In this article, we argue that there (...) is evidence that confirmation bias does exist outside the reasoning domain. This undermines the main evidential basis for the argumentative theory of reasoning. In presenting the relevant evidence, we explore why having such confirmation bias may not be maladaptive. (shrink)

This paper defends strict invariantism against some philosophical and empirical data that have been taken to compromise it. The defence involves a combination of a priori philosophical arguments and empirically informed theorizing. The positive account of the data is an epistemic focal bias account that draws on cognitive psychology. It involves the assumption that, owing to limitations of the involved cognitive resources, intuitive judgments about knowledge ascriptions are generated by processing only a limited part of the available information—the part (...) that is in focus. According to the epistemic focal bias account, the intuitive judgments about knowledge ascriptions that constitute contrast effects amount to false positives, whereas the intuitive judgments that constitute salient alternatives effects amount to false negatives. I conclude by considering how the basic epistemic focal bias account may be developed further by reference to relevant alternatives theory in epistemology, pragmatics in the philosophy of language, and dual process theory in cognitive psychology. (shrink)

Recent social‐psychological research suggests that a considerable amount of, for example, racial and gendered discrimination may be connected to implicit biases: mental processes beyond our direct control or endorsement, that influence our behaviour toward members of socially salient groups. In this article I seek to improve our understanding of the phenomenon of implicit bias, including its moral status, by examining it through the lens of a theory of discrimination. In doing so, I also suggest ways to improve this (...) theory of discrimination, by creating conceptual space for implicit bias discrimination. I explore two ways of distinguishing direct and indirect discrimination and spell out the resulting four different forms of discrimination. The resulting taxonomy provides some room for implicit bias discrimination. I also deal with four challenges to my proposal for capturing implicit bias within discrimination theory: the metaphysical challenge, the moral insignificance challenge, the causal connection challenge, and the challenge from irreducibly collective bias. (shrink)

In following the form of a standard “bias” paper, the authors highlight a potentially serious bias of uncertain magnitude. A negative focus in research has certain adaptive features in terms of professional and public support, as well as theory generation. The bias deserves attention and correction, but in ways that do not exaggerate its liabilities or overlook its virtues.

The underrepresentation of women, people of color, and especially women of color—and the corresponding overrepresentation of white men—is more pronounced in philosophy than in many of the sciences. I suggest that part of the explanation for this lies in the role played by the idealized rational self, a concept that is relatively influential in philosophy but rarely employed in the sciences. The idealized rational self models the mind as consistent, unified, rationally transcendent, and introspectively transparent. I hypothesize that acceptance of (...) the idealized rational self leads philosophers to underestimate the influence of implicit bias on their own judgments and prevents them from enacting the reforms necessary to minimize the effects of implicit bias on institutional decision-making procedures. I consider recent experiments in social psychology that suggest that an increased sense of one’s own objectivity leads to greater reliance on bias in hiring scenarios, and I hypothesize how these results might be applied to philosophers’ evaluative judgments. I discuss ways that the idealized rational self is susceptible to broader critiques of ideal theory, and I consider some of the ways that the picture functions as a tool of active ignorance and color-evasive racism. (shrink)

ABSTRACTThe negativity bias is the tendency for individuals to give greater weight, and often exhibit more rapid and extreme responses, to negative than positive information. Using the Deese-Roediger-McDermott illusory memory paradigm, the current study sought to examine how the negativity bias might affect both correct recognition for negative and positive words and false recognition for associated critical lures, as well as how trait neuroticism might moderate these effects. In two experiments, participants studied lists of words composed of semantic (...) associates of an unpresented word. Half of the lists were comprised of positive words and half were comprised of negative words. As expected, individuals remembered negative list words better than positive list words, consistent with a negativity bias in correct recognition. When tested immediately, individuals also exhibited greater false memory for negative versus positive critical lures. When tested after a 24-hr delay... (shrink)

At the University of Sheffield during 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 I: Metaphysics and Epistemology is comprised of two parts: “The Nature of (...) Implicit Attitudes, Implicit Bias, and Stereotype Threat,” and “Skepticism, Social Knowledge, and Rationality.” The first part contains chapters examining the relationship between implicit attitudes and “dual process” models of the mind; the role of affect in the formation and change of implicit associations; the unity (or disunity) of implicit attitudes; whether implicit biases are mental states at all; and whether performances on stereotype-relevant tasks are automatic and unconscious or intentional and strategic. The second part contains chapters examining implicit bias and skepticism; the effects of implicit bias on scientific research; the accessibility of social stereotypes in epistemic environments; the effects of implicit bias on the self-perception of members of stigmatized social groups as rational agents; the role of gender stereotypes in philosophy; and the role of heuristics in biased reasoning. (shrink)

The concept of bias is pervasive in both popular discourse and empirical theorizing within philosophy, cognitive science, and artificial intelligence. This widespread application threatens to render the concept too heterogeneous and unwieldy for systematic investigation. This article explores recent philosophical literature attempting to identify a single theoretical category—termed ‘bias’—that could be unified across different contexts. To achieve this aim, the article provides a comprehensive review of theories of bias that are significant in the fields of philosophy of (...) mind, cognitive science, machine learning, and epistemology. It focuses on key examples such as perceptual bias, implicit bias, explicit bias, and algorithmic bias, scrutinizing their similarities and differences. Although these explorations may not conclusively establish the existence of a natural theoretical kind, pursuing the possibility offers valuable insights into how bias is conceptualized and deployed across diverse domains, thus deepening our understanding of its complexities across a wide range of cognitive and computational processes. (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)

This history of reproductive theories from Aristotle to the preformationists provides an excellent illustration of the ways in which the gender /science system informs the process of scientific investigation. In this essay I examine the effects of the bias of woman's inferiority upon theories of human reproduction. I argue that the adherence to a belief in the inferiority of the female creative principle biased scientific perception of the nature of woman's role in human generation.

Hopes for biasing the odds towards the development of AGI that is human-friendly depend on finding and employing ethical theories and practices that can be incorporated successfully in the construction; programming and/or developmental growth; education and mature life world of future AGI. Mainstream ethical theories are ill-adapted for this purpose because of their mono-logical decision procedures which aim at “Golden rule” style principles and judgments which are objective in the sense of being universal and absolute. A much more helpful framework (...) for ethics is provided by a dialogical approach using conflict resolution and negotiation methods; a “Rainbow rule” approach to diversity; and a notion of objectivity as emergent impartiality. This conflict resolution approach will also improve our chances in dealing with two other problems related to the “Friendly AI” problem; the difficulty of programming AI to be not merely smarter but genuinely wiser and the dilemmas that arise in considering whether AGIs will be Friendly to humans out of mere partisanship or out of genuine intent to promote the Good. While these issues are challenging; a strategy for pursuing and promoting research on them can be articulated and basic legislation and corporate policies can be adopted to encourage their development as part of the project of biasing the odds in favor of Friendly and Wise AGI. (shrink)

Sandra Harding's feminist standpoint epistemology makes two claims. The thesis of epistemic privilege claims that unprivileged social positions are likely to generate perspectives that are “less partial and less distorted” than perspectives generated by other social positions. The situated knowledge thesis claims that all scientific knowledge is socially situated. The bias paradox is the tension between these two claims. Whereas the thesis of epistemic privilege relies on the assumption that a standard of impartiality enables one to judge some perspectives (...) as better than others, the situated knowledge thesis seems to undermine this assumption by suggesting that all knowledge is partial. I argue that a contextualist theory of epistemic justification provides a solution to the bias paradox. Moreover, contextualism enables me to give empirical content to the thesis of epistemic privilege, thereby making it into a testable hypothesis. (shrink)

Bias and prejudice are well known aspects of all societies and political arenas. They motivate a wide variety of fear-mongering policies and seem to be deeply ingrained in the hearts and minds of people, interfering with their reasoning and better judgement. In this paper, I explore how bias and prejudice come about and how they can be put to more productive use in a democratic context. Humans aren’t as rational as we might expect. We often fail to think (...) logically and applying abstract reasoning is a challenge. When concepts are difficult for us to grasp, we often use our pre-existing ideas and experiences. Our biases and pre-conceived notions allow us to make better sense of complex problems. Bias is unavoidable. If we accept that we have pre-existing beliefs and can identify them accurately, they can serve an epistemic purpose in deliberation. We can use bias and prejudice as the starting point for meaningful inquiry as well as critical self-reflection. In order to accomplish this we need to place a greater educational focus on critical thinking skills. This type of education develops both our specific skills for analysis, evaluation and problem solving, but also builds the essential dispositions for open-mindedness and tolerance that are essential for effective deliberation. (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)

The phenomenon known as matching bias consists of a tendency to see cases as relevant in logical reasoning tasks when the lexical content of a case matches that of a propositional rule, normally a conditional, which applies to that case. Matching is demonstrated by use of the negations paradigm that is by using conditionals in which the presence and absence of negative components is systematically varied. The phenomenon was first published in 1972 and the present paper reviews the history (...) of research and theorising on the problem in the subsequent 25 years. Theories of matching bias considered include those based on several broad frameworks including the heuristic-analytic theory, the mental models theory, the theory of optimal data selection, and relevance theory as well as the specific processing-negations account. The ability of these theories to account for a range of phenomena is considered, including the effects of linguistic form, realistic content, and explicit negation on the matching bias effect. Of particular importance are recent findings showing that the bias is observable on a wider range of linguistic forms than has generally been thought, and that it is almost entirely dependent on the use of implicit negation in the logical cases to which rules are applied. The reasons for the general suppression of matching when realistic content is used are, however, unclear and a need for further research is identified here. It is concluded that matching bias is a highly robust effect which is closely connected with the problem of understanding implicit negation. Most of the theories in the literature are unable to account for at least some of the major phenomena discovered in research on the bias. The accounts that fare best are those that posit local effects of negation, including the heuristic-analytic and processing negations theories. (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)

Although numerous studies have explored the factors influencing entrepreneurial activity, there is a lack of a theoretical basis for linking these factors to entrepreneurship behavioral intention. The current study uses the theory of self-regulating attitude to construct a theoretical model of examining the relationship among cognitive bias, entrepreneurial emotion, and entrepreneurship intention. A total of 312 valid samples were collected from college students at a Chinese university. The bootstrapping method was used to test the multi-mediation hypotheses. Our research (...) found that positive entrepreneurial emotion plays a mediating role in the relationship between optimism and entrepreneurship intention, whereas negative entrepreneurial emotion plays a mediating role in the relationship between overconfidence and entrepreneurship intention. These findings underline the importance of a correct understanding of cognitive bias and entrepreneurial emotion in the process of entrepreneurship. (shrink)

ObjectivesHostile attribution bias is reportedly common from non-clinical population to those with serious mental illness, such as schizophrenia, and is known to be closely related to theory of mind. This study aimed to investigate whether ToM skills mediate the relationship among neurocognitive ability, personality traits, and attribution bias.MethodsA total of 198 non-clinical youths were recruited. To assess their neurocognitive ability and ToM skills, the participants were asked to complete Raven’s Standard Progressive Matrices and the Korean version of (...) the Reading the Mind in Eyes Test. To determine their personality traits, the Eysenck Personality Questionnaire and interpersonal reactivity index were used. To evaluate hostile attribution bias, the Ambiguous Intentions Hostility Questionnaire was administered. Path analysis and bias-corrected percentile bootstrap methods were used to estimate model fit and the parameters of the mediating effects.ResultsBased on model comparison, the best model characterized two direct pathways from psychoticism and the K-RMET to hostility attribution bias and three indirect pathways, wherein SPM, perspective taking, and psychoticism influenced hostile attribution bias through K-RMET. The final model fit indices were good [x2/df = 1.126; comparative fit index = 0.996; root mean square error of approximation = 0.026; standard root mean square residual = 0.026 and Akaike information criterion = 28.251] and the K-RMET fully mediated the association between SPM, perspective taking, psychoticism, and hostile attribution bias.ConclusionThe main findings suggested that ToM skills, such as the RMET, play an important role in explaining the relationship among neurocognitive ability, personality traits, and hostile attribution bias. ToM skills and a remediation strategy may need to be developed to balance the enhanced hostility bias that underlies the paranoia. (shrink)

Mercier & Sperber (M&S) claim that the phenomenon of belief bias provides fundamental support for their argumentative theory and its basis in intuitive judgement. We propose that chronometric evidence necessitates a more nuanced account of belief bias that is not readily captured by argumentative theory.

There is an active debate within the field of phonology concerning the cognitive status of substantive phonetic factors such as ease of articulation and perceptual distinctiveness. A new framework is proposed in which substance acts as a bias, or prior, on phonological learning. Two experiments tested this framework with a method in which participants are first provided highly impoverished evidence of a new phonological pattern, and then tested on how they extend this pattern to novel contexts and novel sounds. (...) Participants were found to generalize velar palatalization (e.g., the change from [k] as in keep to [t⌢∫S] as in cheap) in a way that accords with linguistic typology, and that is predicted by a cognitive bias in favor of changes that relate perceptually similar sounds. Velar palatalization was extended from the mid front vowel context (i.e., before [e] as in cape) to the high front vowel context (i.e., before [i] as in keep), but not vice versa. The key explanatory notion of perceptual similarity is quantified with a psychological model of categorization, and the substantively biased framework is formalized as a conditional random field. Implications of these results for the debate on substance, theories of phonological generalization, and the formalization of similarity are discussed. (shrink)

The central thesis of this article is that by anchoring bioethics' core conceptual armamentarium in a four-principled theory emphasizing autonomy and treating justice as a principle of allocation, theorists inadvertently biased 20th-century bioethical scholarship against addressing such subjects as ableism, anti-Black racism, classism, and other forms of discrimination, placing them outside of the scope of bioethics research and scholarship. It is also claimed that these scope limitations can be traced to the displacement of the nascent concept of respect for (...) persons—a concept designed to address classist and racist discrimination—with the morally solipsistic concept of autonomy. (shrink)

It has been argued that people in areas with high pathogen loads will be more likely to avoid outsiders, to be biased in favor of in-groups, and to hold collectivist and conformist values. Cross-national studies have supported these predictions. In this paper we provide new pathogen codes for the 186 cultures of the Standard Cross-Cultural Sample and use them, together with existing pathogen and ethnographic data, to try to replicate these cross-national findings. In support of the theory, we found (...) that cultures in high pathogen areas were more likely to socialize children toward collectivist values (obedience rather than self-reliance). There was some evidence that pathogens were associated with reduced adult dispersal. However, we found no evidence of an association between pathogens and our measures of group bias (in-group loyalty and xenophobia) or intergroup contact. (shrink)

The concept of implicit bias has become a staple in social psychology as well as epistemology, ethics, and social philosophy; so much so that so-called implicit association tests (IAT) and policies against the effects of implicit bias have been implemented as political tools (particularly in Anglophone countries). This article argues that parts of implicit bias research rest on two assumptions which have not yet received sufficient critical attention. The eradication assumption holds that implicit biases can and ought (...) to be done away with. The pejorative assumption holds that biases are necessarily morally (and/or epistemically) pernicious. Drawing on Gadamer’s hermeneutic theory of Vorurteil (prejudice), this article argues that implicit bias is a smaller species of the wider genus of (Gadamerian) prejudices such that both the eradication assumption and pejorative assumption turn out to be flawed. This is to the effect that implicit biases are neither necessarily morally pernicious, nor can they be fully eradicated. Instead, they present an essential part of human cognition as such. (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)

To analyze which ethically relevant biases have been identified by academic literature in artificial intelligence algorithms developed either for patient risk prediction and triage, or for contact tracing to deal with the COVID-19 pandemic. Additionally, to specifically investigate whether the role of social determinants of health have been considered in these AI developments or not. We conducted a scoping review of the literature, which covered publications from March 2020 to April 2021. ​Studies mentioning biases on AI algorithms developed for contact (...) tracing and medical triage or risk prediction regarding COVID-19 were included. From 1054 identified articles, 20 studies were finally included. We propose a typology of biases identified in the literature based on bias, limitations and other ethical issues in both areas of analysis. Results on health disparities and SDOH were classified into five categories: racial disparities, biased data, socio-economic disparities, unequal accessibility and workforce, and information communication. SDOH needs to be considered in the clinical context, where they still seem underestimated. Epidemiological conditions depend on geographic location, so the use of local data in studies to develop international solutions may increase some biases. Gender bias was not specifically addressed in the articles included. The main biases are related to data collection and management. Ethical problems related to privacy, consent, and lack of regulation have been identified in contact tracing while some bias-related health inequalities have been highlighted. There is a need for further research focusing on SDOH and these specific AI apps. (shrink)

The second section contains chapters examining implicit bias and skepticism; the effects of implicit bias on scientific research; the accessibility of social stereotypes in epistemic environments; the effects of implicit bias on the self-perception of members of stigmatized social groups as rational agents; the role of gender stereotypes in philosophy; and the role of heuristics in biased reasoning. 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. (shrink)