While working with a long-distance running event organizer, the authors of this study observed considerable differences between event participants’ official finish time and their self-reported finish time in the post-event survey. Drawing on the notion of self-serving bias, we aim to explore the source of this disparity and how such psychological bias influences participants’ event experience at long-distance running events. Using evidence of 1,320 marathon runners, we demonstrated how people are more likely to be subject to a biased (...) self-assessment contingent upon achieving their best finish time at the event. The study samples were split into record-high-achieved and record-high-missed groups, and the self-serving biases of each group were explored. Results from the t-test comparing record-high-achieved and -missed groups showed that runners in the record-high-missed group were significantly more likely to report a positively biased finish time than runners in the record-high-achieved group. Additionally, results from logistic regression showed that as runners missed their best finish time by a wider margin, the probability of reporting a positively biased incorrect finish time increased. Lastly, we conducted an additional t-test and revealed that runners who are subject to self-serving bias showed a lower level of overall event satisfaction. The current study suggests one way to bypass the adverse effects of participant sport event participants’ worse-than-expected athletic performance. We specifically suggest that the event organizers target runners who had worse-than-expected performance and make extra efforts on non-race service attributes because these runners are more likely to be unsatisfied with the event. (shrink)

Previous studies have shown a robust bias to express the goal path over the source path when describing events. Motivated by linguistic theory, this study manipulated the causal structure of events and measured the extent to which adults and 3.5- to 4-year-old English-speaking children included the goal and source in their descriptions. We found that both children's and adults’ encoding of the source increased for events in which the source caused the motion of the figure compared to (...) nearly identical events in which the source played no such causal role. However, a goal bias persisted overall for both causal and noncausal motion events. These findings suggest that although the goal bias in language is highly robust, properties of the source influence its likelihood of being encoded in language, thus shedding light on how properties of an event can influence the mapping of event components into language. (shrink)

Recent research has demonstrated an asymmetry between the origins and endpoints of motion events, with preferential attention given to endpoints rather than beginnings of motion in both language and memory. Two experiments explore this asymmetry further and test its implications for language production and comprehension. Experiment 1 shows that both adults and 4-year-old children detect fewer within-category changes in source than goal objects when tested for memory of motion events; furthermore, these groups produce fewer references to source than (...) class='Hi'>goal objects when describing the same motion events. Experiment 2 asks whether the specificity of encoding source/goal relations differs in both spatial memory and the comprehension of novel spatial vocabulary. Results show that endpoint configuration changes are detected more accurately than source configuration changes by both adults and young children. Furthermore, when interpreting novel motion verbs, both age groups expect more fine-grained lexical distinctions in the domain of endpoint configurations compared to that of source configurations. These studies demonstrate that a cognitive-attentional bias in spatial representation and memory affects both the detail of linguistic encoding during the use of spatial language and the specificity of hypotheses about spatial referents that learners build during the acquisition of the spatial lexicon. (shrink)

The effect of oxytocin on cognitive bias was investigated in rats in a modified conditioned place preference (CPP) paradigm. Fifteen male rats were trained to discriminate between two different cue combinations, one paired with palatable foods (reward training), and the other paired with unpalatable food (aversive training). Next, their reactions to two ambiguous cue combinations were evaluated and their latency to contact the goal pot recorded. Rats were injected with either oxytocin (OT) or saline with the prediction that (...) rats administered oxytocin would display a shorter average latency to approach on ambiguous trials. There was no significant difference between latencies to approach on ambiguous trials compared to reward trials, but the rats were significantly slower on the aversive compared to the ambiguous conditions. Oxytocin did not affect approach time; however, it was unclear, after follow-up testing, whether the OT doses tested were sufficient to produce the desired effects on cognitive bias. Future research should consider this possibility. (shrink)

Liberals often view religion chiefly as "a problem" for democratic discourse in modern pluralistic societies and propose an allegedly neutral solution in the form of philosophical distinctions between "the right" and "the good" or populist invocations of a "right to choose." Drawing on cultural theory and ethnographic research among activists in the Oregon debates over the legalization of physician-assisted suicide, I demonstrate that liberal "neutrality" harbors its own cultural bias, flattens the complexity of public debates, and undermines liberalism's own (...) commitments to equality. I conclude that the praiseworthy liberal goal of impartiality in policy decisions would best be met not by the inaccessible norm of neutrality but by a norm of inclusivity, which intentionally solicits multiple cultural perspectives. (shrink)

Prior evidence has shown that aversive emotional states are characterised by an attentional bias towards aversive events. The present study investigated whether aversive emotions also bias attention towards stimuli that represent means by which the emotion can be alleviated. We induced disgust by having participants touch fake disgusting objects. Participants in the control condition touched non-disgusting objects. The results of a subsequent dot-probe task revealed that attention was oriented to disgusting pictures irrespective of condition. However, participants in the (...) disgust condition also oriented towards pictures representing cleanliness. These findings suggest that the deployment of attention in aversive emotional states is not purely stimulus driven but is also guided by the goal to alleviate this emotional state. (shrink)

In this paper, we distinguish between different sorts of assessments of algorithmic systems, describe our process of assessing such systems for ethical risk, and share some key challenges and lessons for future algorithm assessments and audits. Given the distinctive nature and function of a third-party audit, and the uncertain and shifting regulatory landscape, we suggest that second-party assessments are currently the primary mechanisms for analyzing the social impacts of systems that incorporate artificial intelligence. We then discuss two kinds of as-sessments: (...) an ethical risk assessment and a narrower, technical algo-rithmic bias assessment. We explain how the two assessments depend on each other, highlight the importance of situating the algorithm within its particular socio-technical context, and discuss a number of lessons and challenges for algorithm assessments and, potentially, for algorithm audits. The discussion builds on our team’s experience of advising and conducting ethical risk assessments for clients across dif-ferent industries in the last four years. Our main goal is to reflect on the key factors that are potentially ethically relevant in the use of algo-rithms, and draw lessons for the nascent algorithm assessment and audit industry, in the hope of helping all parties minimize the risk of harm from their use. (shrink)

Cultural evolutionary theory has identified a range of cognitive biases that guide human social learning. Naturalistic and experimental studies indicate transmission biases favoring negative and positive information. To address these conflicting findings, the present study takes a socially situated view of information transmission, which predicts that bias expression will depend on the social context. We report a large‐scale experiment (N = 425) that manipulated the social context and examined its effect on the transmission of the positive and negative information (...) contained in a narrative text. In each social context, information was progressively lost as it was transmitted from person to person, but negative information survived better than positive information, supporting a negative transmission bias. Importantly, the negative transmission bias was moderated by the social context: Higher social connectivity weakened the bias to transmit negative information, supporting a socially situated account of information transmission. Our findings indicate that our evolved cognitive preferences can be moderated by our social goals. (shrink)

This chapter discusses nine ways to bias open‐source artificial general intelligence (AGI) toward friendliness. There is no way to guarantee that advanced AGI, once created and released into the world, will behave according to human ethical standards. The primary objective of the chapter is to suggest some potential ways to do so. First it discusses an engineer the capability to acquire integrated ethical knowledge, and provides rich ethical interaction and instruction, respecting developmental stages. The chapter creates stable, hierarchy‐dominated (...) class='Hi'>goal systems, and ensures that the early stages of recursive self‐improvement occur relatively slowly and with rich human involvement. It tightly links AGI with the Global Brain, and focuses on foster deep, consensus‐building interactions and commensurability between divergent viewpoints. The chapter creates a mutually supportive community of AGIs, and encourages measured co‐advancement of AGI software and AGI ethics theory. Finally it develops advanced AGI sooner. (shrink)

Yama (2001) argued that the matching bias effect was an amalgam of a genuine matching effect and a set size effect. However, Evans (2002) pointed out some problems with Yama's argument. One was on the matching index used in Yama (2001). The others concerned a gap between Yama's (2001) interpretation of matching bias and Evans' (1998) recent discussions that had placed emphasis on the problem of implicit negation. I reply to these claims taking Oaksford (2002) into consideration. Further, (...) I propose a framework connecting context, goal, utility, and relevance, and including a hierarchical structure of goals. I argue that theories of reasoning can be developed and extended with the framework. (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)

Health technology assessment (HTA) is often biased in the sense that it neglects relevant perspectives on the technology in question. To incorporate different perspectives in HTA, we should pursue agreement about what are relevant, plausible, and feasible research questions; interactive technology assessment (iTA) might be suitable for this goal. In this way a kind of procedural ethics is established. Currently, ethics too often is focussed on the application of general principles, which leaves a lot of confusion as to what (...) really is the matter in specific cases; in an iTA clashes of values should not be approached by use of such ethics. Instead, casuistry, as a tool used within the framework of iTA, should help to articulate and clarify what is the matter, as to make room for explication and consensus building. (shrink)

Much evidence suggests that, from a young age, humans are able to generalize information learned about a subset of a category to the category itself. Here, we propose that—beyond simply being able to perform such generalizations—people are biased to generalize to categories, such that they routinely make spontaneous, implicit category generalizations from information that licenses such generalizations. To demonstrate the existence of this bias, we asked participants to perform a task in which category generalizations would distract from the main (...) goal of the task, leading to a characteristic pattern of errors. Specifically, participants were asked to memorize two types of novel facts: quantified facts about sets of kind members and generic facts about entire kinds. Moreover, half of the facts concerned properties that are typically generalizable to an animal kind, and half concerned properties that are typically more idiosyncratic. We predicted that—because of the hypothesized bias—participants would spontaneously generalize the quantified facts to the corresponding kinds, and would do so more frequently for the facts about generalizable properties. In turn, these generalizations would lead to a higher rate of quantified-to-generic memory errors for the generalizable properties. The results of four experiments supported this prediction. Moreover, the same generalizable-versus-idiosyncratic difference in memory errors occurred even under cognitive load, which suggests that the hypothesized bias operates unnoticed in the background, requiring few cognitive resources. In sum, this evidence suggests the presence of a powerful bias to draw generalizations about kinds. (shrink)

When people describe motion events, their path expressions are biased toward inclusion of goal paths (e.g., into the house) and omission of source paths (e.g., out of the house). In this paper, we explored whether this asymmetry has its origins in people’s non-linguistic representations of events. In three experiments, 4-year-old children and adults described or remembered manner of motion events that represented animate/intentional and physical events. The results suggest that the linguistic asymmetry between goals and sources is not fully (...) rooted in non-linguistic event representations: linguistic descriptions showed the goal bias for both kinds of events, whereas non-linguistic memory for events showed the goal bias only for events involving animate, goal-directed motion. The findings are discussed in terms of the mapping between non-linguistic representations of goals and sources in language, focusing on the role that linguistic principles play in producing a more absolute goal bias from more gradient non-linguistic representations of paths. (shrink)

Threat-related stimuli can capture attention. However, it remains debated whether this capture is automatic or not. To address this question, we compared attentional biases to emotional faces using a dot-probe task (DPT) where emotion was never goal-relevant (Experiment 1) or made directly task-relevant by means of induction trials (Experiments 2–3). Moreover, the contingency between the DPT and induction trials was either partial (Experiment 2) or full (Experiment 3). Eye-tracking was used to ascertain that the emotional cue and the subsequent (...) target were processed with peripheral vision. Experiments 1 and 2 both showed that negative faces captured attention, with faster target processing when it appeared on the same side as the preceding fearful face (i.e. fear-valid trials) compared to the opposite side where the neutral face was shown (i.e. fear-invalid trials), but also when it appeared on the side of the preceding neutral face (i.e. happy-invalid trials) compared to the happy face (i.e. happy-valid trials). Importantly, this preferential spatial orienting to negative emotion was not observed in Experiment 3, where the goal relevance of emotion was high. However, in that experiment, fearful faces produced a specific attentional bias during the DPT, which was mostly driven by the induction trials themselves. (shrink)

While it seems unlikely that any method of guaranteeing human-friendliness on the part of advanced Artificial General Intelligence systems will be possible, this doesn’t mean the only alternatives are throttling AGI development to safeguard humanity, or plunging recklessly into the complete unknown. Without denying the presence of a certain irreducible uncertainty in such matters, it is still sensible to explore ways of biasing the odds in a favorable way, such that newly created AI systems are significantly more likely than not (...) to be Friendly. Several potential methods of effecting such biasing are explored here, with a particular but non-exclusive focus on those that are relevant to open-source AGI projects, and with illustrative examples drawn from the OpenCog open-source AGI project. Issues regarding the relative safety of open versus closed approaches to AGI are discussed and then nine techniques for biasing AGIs in favor of Friendliness are presented: 1. Engineer the capability to acquire integrated ethical knowledge.2. Provide rich ethical interaction and instruction, respecting developmental stages.3. Develop stable, hierarchical goal systems.4. Ensure that the early stages of recursive self-improvement occur relatively slowly and with rich human involvement.5. Tightly link AGI with the Global Brain.6. Foster deep, consensus-building interactions between divergent viewpoints.7. Create a mutually supportive community of AGIs.8. Encourage measured co-advancement of AGI software and AGI ethics theory.9. Develop advanced AGI sooner not later. In conclusion, and related to the final point, we advise the serious co-evolution of functional AGI systems and AGI-related ethical theory as soon as possible, before we have so much technical infrastructure that parties relatively unconcerned with ethics are able to rush ahead with brute force approaches to AGI development. (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)

Recent findings in empirical psychology show that implicit biases can affect behavior in ways that are difficult to control deliberatively. Doris argues that findings like these constitute a threat to agency, if agency is defined as the ability to reflectively, deliberatively direct one’s actions. I argue, however, that implicit biases pose no fundamental threat to agency since they can be brought under indirect deliberative control, whereby deliberative, reflective actions put in place automatic processes that automatically inhibit unwanted biases. Since automatic (...) processes can be thus used to achieve deliberatively, reflectively endorsed goals, agency should be defined as the ability to act in line with reflectively endorsed goals, whether by deliberative or automatic processes. (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)

In this paper, we study overconfidence and goal-setting in academic performance, with and without monetary incentives. Students enrolled in a microeconomics course were offered the possibility of setting their own target grade before taking part in the final exam. They were also asked to guess their grade immediately after they had taken the exam (“post-diction”). In general, students overestimated their performance, both at the goal-setting and at the post-diction stages. Controlling for several sources of this bias (cognitive (...) abilities, academic record and self-reported academic confidence), we find that the use of monetary rewards mitigates the overestimation of potential achievements and eliminates overestimation of actual achievements through the improvement of actual performance. Our results suggest that monetary incentives do not cause subjects to put more effort into correct guesses but make them put more effort into academic performance. Using students’ academic records to measure overall skill, we find a strong Dunning–Kruger bias which is intensified in the presence of monetary rewards. (shrink)

ABSTRACT:Business ethics research has long been interested in understanding the conditions under which ethical consumption is consistent versus context-dependent. Extant research suggests that many consumers fail to make consistent ethical consumption decisions and tend to engage in ethical decisions associated with ingroup identity cues. To fill this gap, four experiments examine how construal levels moderate the influence of ingroup versus outgroup identity cues in ethical consumption. The studies support the contention that when consumers use concrete construal to process information, they (...) will focus on ingroup cues and make ethical consumption decisions that are aligned with ingroup biases. However, when consumers use abstract construal, they will act more consistently with their inner goals rather than focusing on ingroup and outgroup cues. Social goodwill, which indicates desires to give back to society, is identified as mediating the effects. The findings have important implications for ethical consumption and social influence literature. (shrink)

Virtue ethics faces two challenges based in ‘dual-process’ models of cognition. The classic situationist worry is that we just do not have reliable motivations at all. One promising response invokes an alternative model of cognition which can accommodate evidence cited in support of dual-process models without positing distinct systems for automatic and deliberative processing. The approach appeals to the potential of automatization to habituate virtuous motivations. This response is threatened by implicit bias which raises the worry that we cannot (...) avoid habituating reliably vicious motivations. I argue that the alternative model of cognition also offers the virtue ethicist a promising response to this second challenge. In particular, the virtue ethicist can respond to the implicitly biased by counselling the habituation of egalitarian virtue, rather than merely the control of anti-egalitarian vice. Research shows both the importance of automatized individual egalitarian commitments and the potential of habituation to automatize deliberatively endorsed egalitarian goals. However, individuals’ ability to sustain and implement their commitments depends crucially on hospitable environments. Communities which themselves embody egalitarian values and which encourage and support their members’ egalitarian commitments are therefore essential. As Aristotle said, individual virtue requires a virtuous community. (shrink)

B a c k g r o u n d. The article is devoted to the study of confirmatory distortion as a cognitive bias within the framework of the modern theory of argumentation. In the context of this study, the effectiveness of the critical questioning technique as an argumentation strategy aimed at reducing the negative impact of confirmatory bias is considered. M e t h o d s. To achieve the goals of the research, the method of critical (...) questions is used, which is based on the traditional principles of logic, dialectics and rhetoric. Specific lists of critical questions are developed for each argumentative scheme. R e s u l t s. The article demonstrates that standard critical questions for schemes of practical reasoning, developed by eminent specialists, are able to minimize the negative impact of confirmation bias. This is achieved by taking into account information that may conflict with the agent's action plan. C o n c l u s i o n s. The study highlights the importance of using critical questions as a tool to minimize confirmation bias. Such an approach not only contributes to the substantiation of arguments, but also stimulates self-control and the search for information that may cause doubts about one's own views. The final part of the article examines propaganda as the deliberate use of confirmatory distortion and points to the need for attention to language patterns where it occurs rather unintentionally. In connection with the specificity of the studied phenomenon, the term "confirmation bias" is proposed as a translation of the English "confirmation bias". (shrink)

The goal of this experimental project was to investigate lay peoples’ perceptions of epistemic authority (EA) in the field of finance. EA is defined as the extent to which a source of information is treated as evidence for judgments independently of its objective expertise and based on subjective beliefs. Previous research suggested that EA evaluations are biased and that lay people tend to ascribe higher EA to experts who advise action (in the case of medical experts) or confirm clients’ (...) expectations (in the case of politicians). However, there has been no research into biases in lay evaluations of financial experts and this project is aimed to fill this gap. Experiment 1 showed that lay people tended to ascribe greater authority to financial consultants who gave more active advice to clients considering taking out a mortgage. Experiment 2 confirmed the action advice effect found in Experiment 1. However, the outcomes of Experiments 2 and – particularly – 3 suggested that this bias might also be due to clients’ desire to confirm their own opinions. Experiment 2 showed that the action advice effect was moderated by clients’ own opinions on taking loans. Lay people ascribed the greatest EA to the advisor in the scenario in which he advised taking action and where this coincided with the client’s positive opinion on the advisability of taking out a loan. In Experiment 3 only participants with a positive opinion on the financial product ascribed greater authority to experts who recommended it; participants whose opinion was negative tended to rate consultants who advised rejecting the product more highly. To conclude, these three experiments revealed that lay people ascribe higher EA to financial consultants who advise action rather than maintenance of the status quo, but this effect is limited by confirmation bias: when the client’s a priori opinion is salient, greater authority is ascribed to experts whose advice confirms it. In this sense, results presented in the present paper suggest that the action advice effect might be also interpreted as a specific manifestation of confirmation bias. (shrink)

The topic of this paper is what I will call “biased emotion”. Biased emotions are emotions which are influenced by implicit bias. An example is racially biased fear. A person who explicitly denies that every black man is dangerous, might implicitly have the tendency to be afraid of black men. Biased emotions lead to certain types of behavior, such as avoidance behavior out of fear. Some have argued that behavioral expressions of biased emotions are not attributable. Because fearful behavior (...) is supposedly reflex-like, it can be considered as “external” to who one really is. I will, however, argue that behavioral expressions of biased emotions are not reflexes but behavior which reflects a person’s goals and what one cares about. For this reason, I will argue that behavioral expressions of biased emotions are attributable and reveal who one truly is. (shrink)

It has been shown that, when observing an action, infants can rely on either outcome selection information (i.e., actions that express a choice between potential outcomes) or means selection information (i.e., actions that are causally efficient toward the outcome) in their goal attribution. However, no research has investigated the relationship between these two types of information when they are present simultaneously. In an experiment that addressed this question directly, we found that when outcome selection information could disambiguate the (...) class='Hi'>goal of the action (e.g., the action is directed toward one of two potential targets), but means selection information could not (i.e., the action is not efficiently adjusted to the situational constraints), 7- and 9-month-old infants did not attribute a goal to an observed action. This finding suggests that means selection information takes primacy over outcome selection information. The early presence of this bias sheds light on the nature of the notion of goal in action understanding. (shrink)

People seem to differ in their visual search performance involving emotionally expressive faces when these expressions are seen on faces of others close to their age compared to faces of non-peers, known as the own-age bias. This study sought to compare search advantages in angry and happy faces detected on faces of adults and children on a pool of children and adults. The goals of this study were to examine the developmental trajectory of expression recognition and examine the development (...) of an OAB. Participants were asked to find a target face displaying an emotional expression among eight neutral faces. Results showed that children and adults found happy faces significantly faster than angry and fearful faces regardless of it being present on the faces of peers or non-peers. Adults responded faster to the faces of peers regardless of the expression. Furthermore, while children detected angry faces significantly faster compared to fearful ones, we found no such difference in adults. In contrast, adults detected all expressions significantly faster when they appeared on the faces of other adults compared to the faces of children. In sum, we found evidence for development in detecting facial expressions and also an age-dependent increase in OAB. We suggest that the happy face could have an advantage in visual processing due to its importance in social situations and its overall higher frequency compared to other emotional expressions. Although we only found some evidence on the OAB, using peer or non-peer faces should be a theoretical consideration of future research because the same emotion displayed on non-peers’ compared to peers’ faces may have different implications and meanings to the perceiver. (shrink)

Mobile health devices pose novel questions at the intersection of philosophy and technology. Many such applications not only collect sensitive data, but also aim at persuading users to change their lifestyle for the better. A major concern is that persuasion is paternalistic as it intentionally aims at changing the agent’s actions, chipping away at their autonomy. This worry roots in the philosophical conviction that perhaps the most salient feature of living autonomous lives is displayed via agency as opposed to patiency—our (...) lives go well in virtue of what we do, rather than what happens to us. Being persuaded by a device telling us how to conduct our lives seemingly renders the agent passive, an inert recipient of technological commands. This agential bias, however, has led to a marginalization of patiential characteristics that are just as much part of our lives as are agential characteristics. To appreciate the inherent interlocking of acting and being acted upon, it is vital to acknowledge that agency and patiency are correlates, not mutually exclusive opposites. Furthermore, it is unclear whether an action can only count as agential so long as its causes are internal. Drawing on the extended mind and extended will framework, I argue that mHealth applications merely serve as volitional aids to the agent’s internal cognition. Autonomously set goals can be achieved more effectively via technology. To be persuaded by an mHealth device does not mainly—let alone exclusively—emphasize patiency; on the contrary, it can be an effective tool for technologically enhancing agency. (shrink)

Where economists previously viewed the market as arising from a ‘spontaneous order’, antithetical to design, they now design markets to achieve specific purposes. This paper reconstructs how this change in what markets are and can do came about and considers some consequences. Two decisive developments in economic theory are identified: first, Hurwicz’s view of institutions as mechanisms, which should be designed to align incentives with social goals; and second, the notion of marketplaces – consisting of infrastructure and algorithms – which (...) should be designed to exhibit stable properties. These developments have empowered economists to create marketplaces for specific purposes, by designing appropriate algorithms. I argue that this power to create marketplaces requires a shift in ethical reasoning, from whether markets should reach into certain spheres of life, to how market algorithms should be designed. I exemplify this shift, focusing on bias, and arguing that transparency should become a goal of market design. (shrink)

This paper is a systematic investigation of motion expressions in programmatic music description. To address issues with defining the Source MOTION and the Target MUSIC, we utilize Gestalt models (Figure-Ground and Source-Path-Goal) while also critically examining the ontological complexity of the Target MUSIC. We also investigate music motion descriptions considering the role of the describer’s perspective and communicative goals. As previous research has demonstrated, an attentional Goal-bias is common in physical motion description, yet this has been found (...) also to lessen due to audience accommodation effects. We investigate whether this also occurs in music description. Using cognitive linguistic frameworks, we conducted an analysis of 21 English speakers’ written descriptions of dynamic orchestral excerpts. All participants gave a description of one excerpt reporting their own personal experiences and the other excerpt reporting the events of the excerpt for a fictional future participant. We find that addressee accommodation shapes the choice of the ontological types of Figures used from being more subjective and creative in describing music for oneself versus being more objective in describing music for others. However, our investigation does not find sufficient evidence for a Goal-bias in music like there is in physical motion event descriptions. (shrink)

This short commentary on Peters identifies the entrenchment of political positions as one additional concern related to algorithmic political bias, beyond those identified by Peters. First, it is observed that the political positions detected and predicted by algorithms are typically contingent and largely explained by “political tribalism”, as argued by Brennan. Second, following Hacking, the social construction of political identities is analyzed and it is concluded that algorithmic political bias can contribute to such identities. Third, following Nozick, it (...) is argued that purist political positions may stand in the way of the pursuit of all worthy values and goals to be pursued in the political realm and that to the extent that algorithmic political bias entrenches political positions, it also hinders this healthy “zigzag of politics”. (shrink)

ABSTRACT: Since the invention of hormonal contraceptives, there has been disagreement between users and providers about the existence of side effects and their implications for care. The lack of consideration for cisgender women, and other people who may become pregnant, has often been explained by sexist bias in the philosophy of medicine. My goal is to contribute additional elements to this discussion. I will argue that there are structurally embedded assumptions about the responsibilities and goals of medicine that (...) open the door to this sexism in the first place. While we tend to accept that contraception is part of medicine for pragmatic reasons, we do not exhibit the same form of pragmatism when it comes to dealing with side effects. This is an unjustified double standard that fails to recognize the goals of contraception and the fact that it relies on medical expertise to achieve them. (shrink)

The twin goals of this essay are: to investigate a family of cases in which the goal of guaranteed convergence to the truth is beyond our reach; and to argue that each of three strands prominent in contemporary epistemological thought has undesirable consequences when confronted with the existence of such problems. Approaches that follow Reichenbach in taking guaranteed convergence to the truth to be the characteristic virtue of good methods face a vicious closure problem. Approaches on which there is (...) a unique rational doxastic response to any given body of evidence can avoid incoherence only by rendering epistemology a curiously limited enterprise. Bayesian approaches rule out humility about one’s prospects of success in certain situations in which failure is typical. (shrink)

The main goal of our study was to investigate the role of insight into one’s own biases in the process of hypothesis validation in accordance to the two fundamental social perception domains on the example of confirmation bias. The study was conducted on a group of 593 participants with the use of a confirmation bias procedure, a free recall procedure and the Metacognitive Self scale. We manipulated with the domain and the value of information given to the (...) respondents. We suspected that individuals with a high metacognitive self, in opposition to low metacognitive self ones, would not process the given information according to the two fundamental social perception domains. The results verified the existence of an interaction effect of the metacognitive self and the domain of the information given about a perceived person on the susceptibility to follow the confirmation bias. Contrary to the low metacognitive self individuals, who show a higher tendency for the confirmation bias within the competence than the community domain, persons with a high insight into their own biases express the same level of confirmation bias in no respect to the domain of the information. The value of the information has no significant influence. (shrink)

Health technology assessment (HTA) is often biased in the sense that it neglects relevant perspectives on the technology in question. To incorporate different perspectives in HTA, we should pursue agreement about what are relevant, plausible, and feasible research questions; interactive technology assessment (iTA) might be suitable for this goal. In this way a kind of procedural ethics is established. Currently, ethics too often is focussed on the application of general principles, which leaves a lot of confusion as to what (...) really is the matter in specific cases; in an iTA clashes of values should not be approached by use of such ethics. Instead, casuistry, as a tool used within the framework of iTA, should help to articulate and clarify what is the matter, as to make room for explication and consensus building. (shrink)

Using self-report as a measure of conscious experience has been a point of contention in mind wandering research. Whereas prior work has focused on the introspective component of self-report validity, the current research introduces an honesty prime task to the current paradigm in order to assess the role of goal states and social factors on self-report accuracy. Findings provide evidence for an inflated report of mind wandering frequency arising from demand characteristics, intensified by the divergent properties of the subjective (...) and behavioural measures and the general deficit in meta-awareness of off task episodes. (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)

The use of predictive systems has become wider with the development of related computational methods, and the evolution of the sciences in which these methods are applied Solon and Selbst and Pedreschi et al.. The referred methods include machine learning techniques, face and/or voice recognition, temperature mapping, and other, within the artificial intelligence domain. These techniques are being applied to solve problems in socially and politically sensitive areas such as crime prevention and justice management, crowd management, and emotion analysis, just (...) to mention a few. However, dissimilar predictions can be found nowadays as the result of the application of these methods resulting in misclassification, for example for the case of conviction risk assessment Office of Probation and Pretrial Services or decision-making process when designing public policies Lange. The goal of this paper is to identify current gaps on fairness achievement within the context of predictive systems in artificial intelligence by analyzing available academic and scientific literature up to 2020. To achieve this goal, we have gathered available materials at the Web of Science and Scopus from last 5 years and analyzed the different proposed methods and their results in relation to the bias as an emergent issue in the Artificial Intelligence field of study. Our tentative conclusions indicate that machine learning has some intrinsic limitations which are leading to automate the bias when designing predictive algorithms. Consequently, other methods should be explored; or we should redefine the way current machine learning approaches are being used when building decision making/decision support systems for crucial institutions of our political systems such as the judicial system, just to mention one. (shrink)

Trait mindfulness confers emotional benefits and encourages skillful emotion regulation, in part because it helps people more deliberately attend to internal experiences and external surroundings. Such heightened attentional control might help skillfully deploy one’s attention towards certain kinds of stimuli, which may in turn help regulate emotions, but this remains unknown. Testing how trait mindful people deploy attention when regulating their emotions could help uncover the specific mechanisms of mindfulness that confer its emotional benefits. The present study aimed to determine (...) whether high trait mindfulness is associated with sustained attention biases to (i.e. longer gaze at) emotional scenes, when all participants are given the emotion regulation goal of staying in a positive mood. To measure this, we used eye tracking to assess selective attention to positive, neutral, and negative photographs. Higher trait mindfulness was associated with both a stronger attention bias for positive (vs. neutral and vs. negative) images, as well as greater success staying in a positive mood during viewing. Surprisingly, this attention bias towards the positive images did not mediate the relationship between mindfulness and maintenance of positive mood. Future work should compare visual attention to other emotion regulation strategies that may maximise positive affect for mindful people. (shrink)

In my dissertation I develop a series of guidelines for responsibly and respectfully navigating varying facets of aesthetic activity involving fat communities. I argue that fat people's engagement with the aesthetic can be used to foster community, resist anti-fat bias, and move towards fat justice. Moreover, I argue that considering representations and treatment of fat people in the production of art must be done carefully in order to avoid perpetuating negative stereotypes and anti-fat bias. My project aims to (...) improve the visibility of fat people, ensuring that fat communities can determine how and when they are seen in ways that affirm their identities and experiences. My project is broken down into four chapters, each of which tackles a different dimension of aesthetic engagement and activity. In the first, I develop a framework called "responsible aesthetic agency" for creators to use when depicting fat people in their work. I intend responsible aesthetic agency to be a way for creators to meet their bare minimum ethical obligations to fat people, and as such this framework is a precursor to Jeremy Fried's aesthetic allyship. I use this framework to argue that artists must attend to the narrative webs in which a work exists when designing their new work's narrative, and that fat people must be active participants in this design and in the realization of said narratives. My second chapter addresses how individuals can use aesthetic agency to advocate for themselves and their communities. I argue that beauty labor can be used to help dismantle anti-fat bias. Using Kathleen LeBesco's framework of agency and identity, coupled with Jeannine Gailey's assessment of the unique perception of fatness as simultaneously hypervisible and hyperinvisible, I argue that participants in the "Fuck Flattering!" movement shape their identities and advocate for fat communities by forcing society to acknowledge their visibility and worth. In my third chapter, I consider representations of fatness in popular media, arguing that we can best achieve fat visibility through centering imperfect representations of fatness. I use Anne Eaton's "Taste in Bodies and Fat Oppression" as a starting point. In this paper, Eaton argues that distaste for fat bodies has an affective element of disgust that we must address to mitigate anti-fatness. Eaton argues that we must habitually engage with vivid and engaging representations that encourage us to see fat bodies as likable and attractive. I argue that while this approach has worthwhile aims, it risks leaving behind those fat bodies which we cannot bring ourselves to see as likeable or attractive. To better combat our distaste for fat bodies, I argue that we must show fat people as complexly as we show thin characters onscreen, highlighting the pluralities of ways to exist as a fat person. Lastly, in my fourth chapter I discuss how to appropriately engage with marginalized communities as a member of a dominant group or identity. I examine the co-optation of the body positivity movement, outline the ethical harms that result from said co-optation, and discuss potential avenues for moving forward with the movement given its co-optation. I argue that in order to fully address the myriad levels of goals of the original body positivity movement, none of these three alternatives is sufficient, as each misses a crucial element of the original body positivity movement or asks participants to have too narrow of an attitude towards their own body. Given the shortcomings of these movements, I argue we should move forward from the body positivity movement’s co-optation by employing a modified framework of Aubrey Gordon’s concept of fat justice, one which also makes room to recognize the importance of fat people being able to experiment with beauty and see themselves as beautiful. (shrink)

This article presents Epistemic Spatialization as a new framework for investigating the interconnected patterns of biases when identifying objects with convolutional neural networks (convnets). It draws upon Foucault’s notion of spatialized knowledge to guide its method of enquiry. We argue that decisions involved in the creation of algorithms, alongside the labeling, ordering, presentation, and commercial prioritization of objects, together create a distorted “nomination of the visible”: they harden the visibility of some objects, make other objects excessively visible, and consign yet (...) others to permanent or haphazard invisibility. Our approach differs from those who focus on high-stakes misidentifications, such as errors tied to structural racism. Examining the far more dominant series of low-stakes mistakes shows the scope of errors, destabilizing the goal of image content identification with considerable societal impact. We explore these issues by closely examining the demonstration video of a popular convnet. This examination reveals an interlocking series of biases undermining the content identification process. The picture we paint is crucial for a better understanding of the errors that result as these convnets become further embedded in everyday products. The framework is valuable for critical work on computer vision, AI studies, and large-scale visual analysis. (shrink)

Mental contrasting with implementation intentions is a self-regulation strategy that enhances goal attainment. This meta-analysis evaluated the efficacy of MCII for goal attainment and explored potential moderators. A total of 21 empirical studies with 24 independent effect sizes were included in the analysis. Results showed that MCII to be effective for goal attainment with a small to medium effect size. The effect was mainly moderated by intervention style. Specifically, studies with interventions based on interactions between participants and (...) experimenters had stronger effects than studies with interventions based on interactions between participants and documents. The results revealed that MCII is a brief and effective strategy for goal attainment with a small to moderate effect; however, because of some publication bias, the actual effect sizes may be smaller. Due to small number of studies in this meta-analysis, additional studies are needed to determine the role of moderator variables. (shrink)

We consider a class of dynamic tournaments in which two contestants are faced with a choice between two courses of action. The first is a riskless option (“hold”) of maintaining the resources the contestant already has accumulated in her turn and ceding the initiative to her rival. The second is the bolder option (“roll”) of taking the initiative of accumulating additional resources, and thereby moving ahead of her rival, while at the same time sustaining a risk of temporary setback. We (...) study this tournament in the context of a jeopardy race game (JRG), extend the JRG to $N > 2$ contestants, and construct its equilibrium solution. Compared to the equilibrium solution, the results of three experiments reveal a dysfunctional bias in favor of the riskless option. This bias is substantially mitigated when the contestants are required to commit in advance how long to pursue the risky course of action. (shrink)

Cognitive bias presents as a pressing challenge to critical thinking education. While many have focused on how to eliminate or mitigate cognitive bias, others have argued that these biases are better understood as result from adaptive reasoning heuristics which are, in the right conditions, rational modes of reasoning about the world. This approach presents a new challenge to critical thinking education: if these heuristics are rational under the right conditions, does teaching critical thinking undermine student abilities to reason (...) effectively in real life reasoning scenarios? I argue that this challenge calls for a reconception of the goals of critical thinking education to focus on how rational ideals are best achieved or approximated in human reasoners. Critical thinking educators should focus on developing the metacognitive skill to recognize when different cognitive strategies should be used. (shrink)

The disclosure policies of scientific journals now require that investigators provide information about financial interests relevant to their research. The main goals of these policies are to prevent bias from occurring, to help identify bias when it occurs, and to avoid the appearance of bias. We argue here that such policies do little to help achieve these goals, and we suggest more effective alternatives.

Cognitive Science, Volume 46, Issue 1, January 2022.

We propose that human reasoning relies on an inherence heuristic, an implicit cognitive process that leads people to explain observed patterns (e.g., girls wear pink) in terms of the inherent features of their constituents (e.g., pink is an inherently feminine color). We then demonstrate how this proposed heuristic can provide a unified account for a broad set of findings spanning areas of research that might at first appear unrelated (e.g., system justification, nominal realism, is–ought errors in moral reasoning). By revealing (...) the deep commonalities among the diverse phenomena that fall under its scope, our account is able to generate new insights into these phenomena, as well as new empirical predictions. A second main goal of this paper, aside from introducing the inherence heuristic, is to articulate the proposal that the heuristic serves as a foundation for the development of psychological essentialism. More specifically, we propose that essentialism—which is the common belief that natural and social categories are underlain by hidden, causally powerful “essences”—emerges over the first few years of life as an elaboration of the earlier, and more open-ended, intuitions supplied by the inherence heuristic. In the final part of the paper, we distinguish our proposal from competing accounts (e.g., Strevens' K-laws) and clarify the relationship between the inherence heuristic and related cognitive tendencies (e.g., the correspondence bias). In sum, this paper illuminates a basic cognitive process that emerges early in life and is likely to have profound effects on many aspects of human psychology. (shrink)

A large body of research in cognitive science differentiates human reasoning into two types: fast, intuitive, and emotional “System 1” thinking, and slower, more reflective “System 2” reasoning. According to this research, human reasoning is by default fast and intuitive, but that means that it is prone to error and biases that cloud our judgments and decision making. To improve the quality of reasoning, critical thinking education should develop strategies to slow it down and to become more reflective. The (...) class='Hi'>goal of such education should be to enable and motivate students to identify weaknesses, gaps, biases, and limiting perspectives in their own reasoning and to correct them. This contribution discusses how this goal could be achieved with regard to reasoning that involves the construction of arguments; or more precisely: how computer-supported argument visualization tools could be designed that support reflection on the quality of arguments and their improvement. Three types of CSAV approaches are distinguished that focus on reflection and self-correcting reasoning. The first one is to trigger reflection by confronting the user with specific questions that direct attention to critical points. The second approach uses templates that, on the one hand, provide a particular structure to reason about an issue by means of arguments and, on the other, include prompts to enter specific items. And a third approach is realized in specifically designed user guidance that attempts to trigger reflection and self-correction. These types of approaches are currently realized only in very few CSAV tools. In order to inform the future development of what I call reflection tools, this article discusses the potential and limitations of these types and tools with regard to five explanations of the observation that students hardly ever engage in substantial revisions of what they wrote: a lack of strategies how to do it; cognitive overload; certain epistemic beliefs; myside bias; and over-confidence in the quality of one’s own reasoning. The question is: To what degree can each of the CSAV approaches and tools address these five potential obstacles to reflection and self-correction? (shrink)