An empirically sensitive formulation of the norms of transformative criticism must recognize that even public and shared standards of evaluation can be implemented in ways that unintentionally perpetuate and reproduce forms of social bias that are epistemically detrimental. Helen Longino’s theory can explain and redress such social bias by treating peer evaluations as hypotheses based on data and by requiring a kind of perspectival diversity that bears, not on the content of the community’s knowledge claims, but on the (...) beliefs and norms of the culture of the knowledge community itself. To illustrate how socializing cognition can bias evaluations, we focus on peer-review practices, with some discussion of peer-review practices in philosophy. Data include responses to surveys by editors from general philosophy journals, as well as analyses of reviews and editorial decisions for the 2007 Cognitive Science Society Conference. (shrink)

Some proponents of moral bioenhancement propose that people should utilize biomedical practices to enhance the faculties and traits that are associated with moral agency, such as empathy and a sense of justice. The hope is that doing so will improve our ability to meet the moral challenges that have emerged in our contemporary, globalized world. In this paper, we caution against this view by arguing that biomedically inducing more empathy may, in fact, diminish moral agency. We argue that this type (...) of increase in empathy would not be effective for addressing empathy’s vulnerability to the biases that can undermine moral judgment. Furthermore, doing so may undermine the important capacity to regulate empathy. We determine that if the moral enhancement project is to be a serious one, it must address these challenges. (shrink)

Reporting biases refer to a truncated pool of published studies with the resulting suppression or omission of some empirical findings. Such biases can occur in positive research paradigms that try to uncover correlations and causal relationships in the social world by using the empirical methods of science. Furthermore, reporting biases can come about because of authors who do not write papers that report unfavorable results despite strong efforts made to find previously accepted evidence and because of (...) a higher rejection rate of studies documenting contradictory evidence. Reporting biases are a serious concern because the conclusions of systematic reviews and meta-analyses can be misleading. The authors show that published evidence in win-win corporate social responsibility research tends to overestimate efficiency. The research field expects to find a positive association between corporate social performance and corporate financial performance, and findings meet that expectation. The authors explain how this pattern may reflect reporting bias. The empirical results show strong tentative evidence for a positive reporting bias in the CSP–CFP literature but only weak tentative evidence for CSP efficiency. The study also examines which factors, such as time trends, publication outlet, and study characteristics, are associated with higher reporting biases within this literature. (shrink)

In recent years, there have been several high-profile recalls of hybrid products. If consumers perceive a global firm to be responsible for the recall, then it will reduce their brand equity. Therefore, global firms may respond in ethically questionable ways to justify themselves to important stakeholders and avoid blame. Understanding how stakeholders attribute blame for crises involving hybrid products is important to shed light on the unethical manner in which global firms might avoid blame in such situations. The research reported (...) here shows that in a hybrid product crisis, consumers show a bias in favor of the brand company and against the manufacturing company. This bias is more pronounced when the country of manufacture has an unfavorable image or when consumers lack familiarity with the recalled brand. Ambiguous recall announcements by companies that fail to provide a specific and clear reason for the product defect prompt consumers to assume that a manufacturing flaw caused the product defect. As a result, consumers reduce their attribution of blame for the brand company, and thus its brand equity is maintained. (shrink)

Journal peer review is an essential part of academic practices.1 But how well does it serve its purpose and which factors have an influence on how close it comes to achieving its aims? Peer review has been widely discussed in empirical literature: it has been studied both qualitatively and quantitatively (e.g., by Cole, who in his 1992 book uses data on how grant applications submitted to National Science Foundation were...

Krueger & Funder (K&F) overstate the defects of Null Hypothesis Significance Testing (NHST), and with it the magnitude of negativity bias within social psychology. We argue that replication matters more than NHST, that the pitfalls of NHST are not always or necessarily realized, and that not all biases are harmless offshoots of adaptive mental abilities.

The article makes four interrelated claims: (1) The mechanism approach to social explanation does not presuppose a commitment to the individual-level microfoundationalism. (2) The microfoundationalist requirement that explanatory social mechanisms should always consists of interacting individuals has given rise to problematic methodological biases in social research. (3) It is possible to specify a number of plausible candidates for social macro-mechanisms where interacting collective agents (e.g. formal organizations) form the core actors. (4) The distributed cognition perspective (...) combined with organization studies could provide us with explanatory understanding of the emergent cognitive capacities of collective agents. (shrink)

The article makes four interrelated claims: (1) The mechanism approach to social explanation does not presuppose a commitment to the individual-level microfoundationalism. (2) The microfoundationalist requirement that explanatory social mechanisms should always consists of interacting individuals has given rise to problematic methodological biases in social research. (3) It is possible to specify a number of plausible candidates for social macro-mechanisms where interacting collective agents (e.g. formal organizations) form the core actors. (4) The distributed cognition perspective (...) combined with organization studies could provide us with explanatory understanding of the emergent cognitive capacities of collective agents. (shrink)

Oocyte cryopreservation, or ‘egg freezing,’ is the practice of preserving unfertilised oocytes for later fertilisation. This practice allows women to extend their reproductive years. In 2014, Facebook and Apple announced that they would subsidise their female employees’ elective — or ‘social’ — use of egg freezing so that these women can more easily reconcile the demands of career and family life. This announcement engendered controversy and moral debate. Given that social egg freezing is becoming more popular, ethical and (...) empirical analyses are warranted. Here, I utilise content analysis to examine media messages in advertising for SEF. I conclude that many fertility clinics engage in biased advertising — i.e. they advertise the service persuasively, not informatively, emphasising indirect benefits while minimising risks and the low chance of successfully bringing a child to term. As advertising for medical services has been shown to influence the use of those services, advertising for SEF should emphasise clear and easily interpretable statistics about success rate, usage rate, cost, and risk. (shrink)

Linking arbitrary shapes to personal labels or reward values results in immediate processing benefits for those stimuli that happen to be associated with the self or high rewards in perceptual matching tasks. Here we further explored how social and reward associations interact with multisensory stimuli by pairing labels and objects with tones. We also investigated whether self and reward biases persist for multisensory stimuli with the label removed after an association had been made. Both high reward stimuli and (...) those associated with the self, resulted in faster responses and improved discriminability, which persisted for multisensory stimuli even when the labels were removed. However, these self- and reward-biases partly depended on the specific alignment between the physical tones and the conceptual order. Performance for reward associations improved when the endpoints of low or high rewards were paired with low or high tones; meanwhile, for personal associations, there was a benefit when the self was paired with either low or high tones, but there was no effect when the stranger was associated with either endpoint. These results indicate that, unlike reward, social personal associations are not represented along a continuum with two marked endpoints but rather with a single reference point. (shrink)

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

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

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

Introduction Social anxiety disorder (SAD) symptoms are maintained by cognitive biases, which are overestimations of the severity and likelihood of negative social events (cost/probability biases), and by sensitivity to rewards and punishments that are determined according to behavioral inhibition/behavioral activation systems (BIS/BAS). Cost/probability biases might activate the behavioral immune system and exacerbate the avoidance of social events. Earlier studies have proposed that low BIS or high BAS decrease SAD symptoms; BIS/BAS may even change the (...) effects of cognitive biases on SAD symptoms. Hence, the current study investigates the interaction effects of BIS/BAS and cost/probability biases on SAD symptoms. Method Seventy-six Japanese undergraduate students completed the Japanese version of the Liebowitz Social Anxiety Scale (LSAS), which comprises Fear and Avoidance subscales, the BIS/BAS Scale, and the Social Cost Probability Scale. Results A multiple regression analysis was performed to examine whether cost/probability biases, BIS/BAS, and their interactions affected SAD symptoms; following this, the main effects of cost bias and BIS were determined for LSAS-Fear (β =.64, p <.001; β =.33, p <.01) and LSAS-Avoidance (β =.49, p <.001; β =.35, p <.01). The interaction effect between cost bias and BAS was significant for LSAS-Avoidance (β = −.32, p <.05). Simple slope analysis showed that the slope of cost bias was significant for low-BAS individuals (β =.77, p <.001) but not for high-BAS individuals (β = −.21, n.s.). The interaction effect between probability bias and BAS was significant for LSAS-Avoidance (β =.40, p <.01) as well. Further, simple slope analysis revealed that the slope of probability bias was significant for low-BAS individuals (β = −.53, p <.05) but not for high-BAS individuals (β =.17, n.s.). Discussion The study found interesting results with respect to the avoidance of social events. Low-BAS individuals with high cost or low probability biases regarding social events may have a tendency to avoid social events. In contrast, if high-BAS individuals overestimate the cost of social events or underestimate the probability of social events, their anticipation of rewards might prevent them from avoiding social events. (shrink)

This paper identifies a type of linguistic phenomenon new to feminist philosophy of language: biased evaluative descriptions. Biased evaluative descriptions (BEDs) are descriptions whose well-intended positive surface meanings are inflected with implicitly biased content. Biased evaluative descriptions are characterized by three main features: (i) they have roots in implicit bias or benevolent sexism, (ii) their application is counterfactually unstable across dominant and subordinate social groups, and (iii) they encode stereotypes. After giving several different kinds of examples of biased evaluative (...) descriptions, I distinguish them from similar linguistic concepts, including backhanded compliments, slurs, insults, epithets, pejoratives, and dog-whistles. I suggest that the framework of traditional Gricean implicature cannot account for BEDs. I discuss some challenges to the distinctiveness and evaluability of BEDs, including intersectional social identities. I conclude by discussing the social significance and moral status of BEDs. Identifying BEDs is important for a variety of social contexts, from the very general and broad (political speeches) to the very particular and small (bias in academic hiring). (shrink)

Psychological studies have long demonstrated effects of expectations on judgment, whereby the provision of information, either implicitly or explicitly, prior to an experience or decision can exert a substantial influence on the observed behavior. This study extended these expectation effects to the domain of interactive economic decision-making. Prior to playing a commonly-used bargaining task, the Ultimatum Game, participants were primed to expect offers that would be either relatively fair or unfair. A third group played the Game without receiving any prior (...) information about expected offers. As predicted, these expectations had a large effect on decisions made by participants in the Ultimatum Game, with those with expectations of fairness rejecting significantly more unfair offers than those participants who expected low offers. Implications for models of fairness and equity are discussed. (shrink)

This essay aims to show that implicit biases should not be conceived of as “inside the head” of individuals, but rather as embodied and social. My argument unfolds in three stages. First, I make the case for conceiving of implicit biases as perceptual habits. Second, I argue that we should think of perceptual habits and, by extension, implicit biases, as located in the body. Third, I claim that individual habits are shaped by the social world (...) in which we find ourselves and that the social world is itself shaped by our habitual ways of interacting with and perceiving others. This suggests that implicit biases are part of the fabric of the social world. Thus, I conclude that implicit biases should be understood as embodied and social. (shrink)

The existence of social learning has been confirmed in diverse taxa, from apes to guppies. In order to advance our understanding of the consequences of social transmission and evolution of behavior, however, we require statistical tools that can distinguish among diverse social learning strategies. In this paper, we advance two main ideas. First, social learning is diverse, in the sense that individuals can take advantage of different kinds of information and combine them in different ways. Examining (...) learning strategies for different information conditions illuminates the more detailed design of social learning. We construct and analyze an evolutionary model of diverse social learning heuristics, in order to generate predictions and illustrate the impact of design differences on an organism’s fitness. Second, in order to eventually escape the laboratory and apply social learning models to natural behavior, we require statistical methods that do not depend upon tight experimental control. Therefore we examine strategic social learning in an experimental setting.. (shrink)

Cognitive theories of emotion propose that the interpretation of emotion-eliciting situations crucially shapes affective responses. Implicit or automatic biases in these interpretations may hinder emotion regulation and thereby increase risk for the onset and maintenance of psychological disorders. In this study, participants were randomly assigned to a positive or negative interpretation bias training using ambiguous social scenarios. After the completion of the training, a stress task was administered and changes in positive and negative affect and self-esteem were assessed. (...) The results demonstrate that the interpretation bias training was successful in that participants exhibited a tendency to interpret novel scenarios in accordance with their training condition. Importantly, the positive training condition also had a protective effect on self-esteem. Participants in this condition did not exhibit a decrease in self-esteem after the stress task, whereas participants in the negative condition did. These results demonstrate that implicit cognitive biases can be trained and that this training affects self-esteem. Implications of these findings for research on psychopathology and emotion regulation are discussed. (shrink)

Generative artificial intelligence systems based on transformers, including both text-generators like GPT-4 and image generators like DALL-E 3, have recently entered the popular consciousness. These tools, while impressive, are liable to reproduce, exacerbate, and reinforce extant human social biases, such as gender and racial biases. In this paper, we systematically review the extent to which DALL-E Mini suffers from this problem. In line with the Model Card published alongside DALL-E Mini by its creators, we find that the (...) images it produces tend to represent dozens of different occupations as populated either solely by men (e.g., pilot, builder, plumber) or solely by women (e.g., hairdresser, receptionist, dietitian). In addition, the images DALL-E Mini produces tend to represent most occupations as populated primarily or solely by White people (e.g., farmer, painter, prison officer, software engineer) and very few by non-White people (e.g., pastor, rapper). These findings suggest that exciting new AI technologies should be critically scrutinized and perhaps regulated before they are unleashed on society. (shrink)

Bentley et al.’s two-dimensional conceptual map is complementary to cultural evolution research that has sought to explain population-level cultural dynamics in terms of individual-level behavioral processes. Here, I qualify their scheme by arguing that different social learning biases should be treated distinctly, and that the transparency of decisions is sometimes conflated with the actual underlying payoff structure of those decisions.

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

This study is an empirical approach to answering the question: are there any universal factors that account for the origin, diffusion and persistence of corruption in human societies? The paper enquires whether the perception of corruption in politics and economics can be tackled as a form of cultural adaptation, driven by exogenous and endogenous forces. These are respectively: freedom of access and management of economic resources, and the pressures towards human grouping. Following the analytical insights of cultural theory, developed by (...) Mary Douglas and later Aaron Wildavsky, variation is introduced through the ways in which corruption is perceived through the different behavioral and cultural biases that prevail in societies. This research introduces a cross-country comparative analysis of 57 countries attempting to test quantitatively whether institutional pressure and emphasis towards social grouping are correlated with corruption perception at country levels. (shrink)

Many individuals have experienced a multitude of chronic stressors and diminished psychological functioning during COVID-19. The current study examined whether biases towards positive social media or positive autobiographical memories was related to increases in psychological functioning during COVID-19. Participants were 1071 adults (Mage = 46.31; 58% female; 78% White) recruited from MTurk. Participants reported on their social media consumption and autobiographical recall, positive and negative affect, and dysphoria symptoms. Results indicated that, at the first assessment collected in (...) the spring and summer of 2020, positively biased social media consumption was cross-sectionally related to higher levels of positive affect, and positively biased autobiographical recall was cross-sectionally related to lower levels of negative affect and dysphoria symptoms. Sensitivity analyses examined cross-sectional relations from a second assessment collected in fall 2020, and prospective cross-lagged analyses. The findings point to potential psychological benefits of positive biases during chronic stressors. (shrink)

Biases in cognition are ubiquitous. Social psychologists suggested biases and stereotypes serve a multifarious set of cognitive goals, while at the same time stressing their potential harmfulness. Recently, biases and stereotypes became the purview of heated debates in the machine learning community too. Researchers and developers are becoming increasingly aware of the fact that some biases, like gender and race biases, are entrenched in the algorithms some AI applications rely upon. Here, taking into account (...) several existing approaches that address the problem of implicit biases and stereotypes, we propose that a strategy to cope with this phenomenon is to unmask those found in AI systems by understanding their cognitive dimension, rather than simply trying to correct algorithms. To this extent, we present a discussion bridging together findings from cognitive science and insights from machine learning that can be integrated in a state-of-the-art semantic network. Remarkably, this resource can be of assistance to scholars (e.g., cognitive and computer scientists) while at the same time contributing to refine AI regulations affecting social life. We show how only through a thorough understanding of the cognitive processes leading to biases, and through an interdisciplinary effort, we can make the best of AI technology. (shrink)

Physical attractiveness affects how one gets treated, but it is just a single component of one's overall “market value.” One's treatment depends on other markers of market value, including social status, competence, warmth, and any other cues of one's ability or willingness to confer benefits on partners. To completely understand biased treatment, we must also incorporate these other factors.

In recent years the social nature of scientific inquiry has generated considerable interest. We examine the effect of an epistemically impure agent on a community of honest truth seekers. Extending a formal model of network epistemology pioneered by Zollman, we conclude that an intransigently biased agent prevents the community from ever converging to the truth. We explore two solutions to this problem, including a novel procedure for endogenous network formation in which agents choose whom to trust. We contend that (...) our model nicely captures aspects of current problems in medical research and gesture at some morals for medical epistemology more generally. (shrink)

This book presents and deconstructs the existing explanations for the differential career development of qualified men and women. It reframes the problem of discrimination in the workplace as a matter of organizational ethics, social responsibility and compliance with existing equal opportunity laws. Sensitive points are identified where social biases, decision-makers' individual economic interests and shortcomings of organizational incentive policies may lead to discrimination against qualified women. The ideas put forward are empirically tested in an original laboratory experiment (...) that examines personnel selection in the male-dominated field of science and technology. It contrasts the selection of applicants with gendered and gender-blind applications available to subjects under controlled conditions. 30% of participants were high-level decision-makers, which is unprecedented in this field of research. The results, highly relevant for organizational practice, are explained and discussed in detail. (shrink)