It is widely agreed that obsessive-compulsive disorder involves irrationality. But where in the complex of states and processes that constitutes OCD should this irrationality be located? A pervasive assumption in both the psychiatric and philosophical literature is that the seat of irrationality is located in the obsessive thoughts characteristic of OCD. Building on a puzzle about insight into OCD (Taylor 2022), we challenge this pervasive assumption, and argue instead that the irrationality of OCD is located in the emotions that are (...) characteristic of OCD, such as anxiety or fear. In particular, we propose to understand the irrationality of OCD as a matter of harboring recalcitrant emotions. We argue that this account not only solves the puzzle about insight, but also makes better sense of how OCD sufferers experience and describe their condition and helps explain some otherwise puzzling features of compulsive behavior. (shrink)

In a recent paper in this journal, Carter and Peterson raise two distinctly epistemological puzzles that arise for anyone aspiring to defend the precautionary principle. The first puzzle trades on an application of epistemic contextualism to the precautionary principle; the second puzzle concerns the compatibility of the precautionary principle with the de minimis rule. In this note, I argue that neither puzzle should worry defenders of the precautionary principle. The first puzzle can be shown to be an instance of the (...) familiar but conceptually harmless challenge of adjudicating between relevant interests to reach assessments of threats when applying the precautionary principle. The second puzzle can be shown to rely on a subtle but crucial misrepresentation of the relevant probabilities at play when applying the precautionary principle. (shrink)

Standard epistemology takes it for granted that there is a special kind of value: epistemic value. This claim does not seem to sit well with act utilitarianism, however, since it holds that only welfare is of real value. I first develop a particularly utilitarian sense of “epistemic value”, according to which it is closely analogous to the nature of financial value. I then demonstrate the promise this approach has for two current puzzles in the intersection of epistemology and value theory: (...) first, the problem of why knowledge is better than mere true belief, and second, the relation between epistemic justification and responsibility. (shrink)

Many ethical frameworks require artificial intelligence (AI) systems to be explainable. Explainable AI (XAI) models are frequently tested for their adequacy in user studies. Since different people may have different explanatory needs, it is important that participant samples in user studies are large enough to represent the target population to enable generalizations. However, it is unclear to what extent XAI researchers reflect on and justify their sample sizes or avoid broad generalizations across people. We analyzed XAI user studies (N = (...) 220) published between 2012 and 2022. Most studies did not offer rationales for their sample sizes. Moreover, most papers generalized their conclusions beyond their target population, and there was no evidence that broader conclusions in quantitative studies were correlated with larger samples. These methodological problems can impede evaluations of whether XAI systems implement the explainability called for in ethical frameworks. We outline principles for more inclusive XAI user studies. (shrink)

Frames, i.e., recursive attribute-value structures, are a general format for the decomposition of lexical concepts. Attributes assign unique values to objects and thus describe functional relations. Concepts can be classified into four groups: sortal, individual, relational and functional concepts. The classification is reflected by different grammatical roles of the corresponding nouns. The paper aims at a cognitively adequate decomposition, particularly, of sortal concepts by means of frames. Using typed feature structures, an explicit formalism for the characterization of cognitive frames is (...) developed. The frame model can be extended to account for typicality effects. Applying the paradigm of object-related neural synchronization, furthermore, a biologically motivated model for the cortical implementation of frames is developed. Cortically distributed synchronization patterns may be regarded as the fingerprints of concepts. (shrink)

Body checking, characterized by the repeated visual or physical inspection of particular parts of one’s own body (e.g. thighs, waist, or upper arms) is one of the most prominent behaviors associated with eating disorders, particularly Anorexia Nervosa (AN). In this paper, we explore the explanatory potential of the Recalcitrant Fear Model of AN (RFM) in relation to body checking. We argue that RFM, when combined with certain plausible auxiliary hypotheses about the cognitive and epistemic roles of emotions, is able to (...) explain key characteristics of body checking, including how body checking behavior becomes habitual and compulsive. (shrink)

Inquiry is an aim-directed activity, and as such governed by instrumental normativity. If you have reason to figure out a question, you have reason to take means to figuring it out. Beliefs are governed by epistemic normativity. On a certain pervasive understanding, this means that you are permitted – maybe required – to believe what you have sufficient evidence for. The norms of inquiry and epistemic norms both govern us as agents in pursuit of knowledge and understanding, and, on the (...) surface, they do so in harmony. Recently, however, Jane Friedman (2020) has pointed out that they are in tension with each other. In this paper, I aim to resolve this tension by showing that reasons for acts of inquiry – zetetic reasons – and epistemic reasons for belief can both be understood as flowing from the same general normative principle: the transmission principle for instrumental reasons. The resulting account is a version of epistemic instrumentalism that offers an attractive unity between zetetic and epistemic normativity. (shrink)

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

Epistemic instrumentalists seek to understand the normativity of epistemic norms on the model practical instrumental norms governing the relation between aims and means. Non-instrumentalists often object that this commits instrumentalists to implausible epistemic assessments. I argue that this objection presupposes an implausibly strong interpretation of epistemic norms. Once we realize that epistemic norms should be understood in terms of permissibility rather than obligation, and that evidence only occasionally provide normative reasons for belief, an instrumentalist account becomes available that delivers the (...) correct epistemic verdicts. On this account, epistemic permissibility can be understood on the model of the wide-scope instrumental norm for instrumental rationality, while normative evidential reasons for belief can be understood in terms of instrumental transmission. (shrink)

In this paper I propose a teleological account of epistemic reasons. In recent years, the main challenge for any such account has been to explicate a sense in which epistemic reasons depend on the value of epistemic properties. I argue that while epistemic reasons do not directly depend on the value of epistemic properties, they depend on a different class of reasons which are value based in a direct sense, namely reasons to form beliefs about certain propositions or subject matters. (...) In short, S has an epistemic reason to believe that p if and only if S is such that if S has reason to form a belief about p, then S ought to believe that p. I then propose a teleological explanation of this relationship. It is also shown how the proposal can avoid various subsidiary objections commonly thought to riddle the teleological account. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in the (...) research on science communication: many people tend to conform to ‘descriptive norms’, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication may frequently produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...) overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

A popular account of epistemic justification holds that justification, in essence, aims at truth. An influential objection against this account points out that it is committed to holding that only true beliefs could be justified, which most epistemologists regard as sufficient reason to reject the account. In this paper I defend the view that epistemic justification aims at truth, not by denying that it is committed to epistemic justification being factive, but by showing that, when we focus on the relevant (...) sense of ‘justification’, it isn’t in fact possible for a belief to be at once justified and false. To this end, I consider and reject three popular intuitions speaking in favor of the possibility of justified false beliefs, and show that a factive account of epistemic justification is less detrimental to our normal belief forming practices than often supposed. (shrink)

Members of the field of philosophy have, just as other people, political convictions or, as psychologists call them, ideologies. How are different ideologies distributed and perceived in the field? Using the familiar distinction between the political left and right, we surveyed an international sample of 794 subjects in philosophy. We found that survey participants clearly leaned left (75%), while right-leaning individuals (14%) and moderates (11%) were underrepresented. Moreover, and strikingly, across the political spectrum, from very left-leaning individuals and moderates to (...) very right-leaning individuals, participants reported experiencing ideological hostility in the field, occasionally even from those from their own side of the political spectrum. Finally, while about half of the subjects believed that discrimination against left- or right-leaning individuals in the field is not justified, a significant minority displayed an explicit willingness to discriminate against colleagues with the opposite ideology. Our findings are both surprising and important, because a commitment to tolerance and equality is widespread in philosophy, and there is reason to think that ideological similarity, hostility, and discrimination undermine reliable belief formation in many areas of the discipline. (shrink)

When one has both epistemic and practical reasons for or against some belief, how do these reasons combine into an all-things-considered reason for or against that belief? The question might seem to presuppose the existence of practical reasons for belief. But we can rid the question of this presupposition. Once we do, a highly general ‘Combinatorial Problem’ emerges. The problem has been thought to be intractable due to certain differences in the combinatorial properties of epistemic and practical reasons. Here we (...) bring good news: if we accept an independently motivated version of epistemic instrumentalism—the view that epistemic reasons are a species of instrumental reasons—we can reduce The Combinatorial Problem to the relatively benign problem of how to weigh different instrumental reasons against each other. As an added benefit, the instrumentalist account can explain the apparent intractability of The Combinatorial Problem in terms of a common tendency to think and talk about epistemic reasons in an elliptical manner. (shrink)

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even when they (...) negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

A popular account of luck, with a firm basis in common sense, holds that a necessary condition for an event to be lucky, is that it was suitably improbable. It has recently been proposed that this improbability condition is best understood in epistemic terms. Two different versions of this proposal have been advanced. According to my own proposal :361–377, 2010), whether an event is lucky for some agent depends on whether the agent was in a position to know that the (...) event would occur. And according to Stoutenburg :319–334, 2015, Synthese, 1–15, 2018), whether an event is lucky for an agent depends on whether the event was guaranteed or certain to occur in light of the agent’s evidence. In this paper, I argue that we should prefer the account in terms of knowledge over that in terms of evidential certainty. (shrink)

Scientists may sometimes generalize from their samples to broader populations when they have not yet sufficiently supported this generalization. Do such hasty generalizations also occur in experimental philosophy? To check, we analyzed 171 experimental philosophy studies published between 2017 and 2023. We found that most studies tested only Western populations but generalized beyond them without justification. There was also no evidence that studies with broader conclusions had larger, more diverse samples, but they nonetheless had higher citation impact. Our analyses reveal (...) important methodological limitations of many experimental philosophy studies and suggest that philosophical training may not protect against hasty generalizations. (shrink)

It has been argued that implicit biases are operative in philosophy and lead to significant epistemic costs in the field. Philosophers working on this issue have focussed mainly on implicit gender and race biases. They have overlooked ideological bias, which targets political orientations. Psychologists have found ideological bias in their field and have argued that it has negative epistemic effects on scientific research. I relate this debate to the field of philosophy and argue that if, as some studies suggest, the (...) same bias also exists in philosophy then it will lead to hitherto unrecognised epistemic hazards in the field. Furthermore, the bias is epistemically different from the more familiar biases in respects that are important for epistemology, ethics, and metaphilosophy. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise in (...) some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

The idea that humans should abandon their individuality and use technology to bind themselves together into hivemind societies seems both farfetched and frightening – something that is redolent of the worst dystopias from science fiction. In this article, we argue that these common reactions to the ideal of a hivemind society are mistaken. The idea that humans could form hiveminds is sufficiently plausible for its axiological consequences to be taken seriously. Furthermore, far from being a dystopian nightmare, the hivemind society (...) could be desirable and could enable a form of sentient flourishing. Consequently, we should not be so quick to deny it. We provide two arguments in support of this claim – the axiological openness argument and the desirability argument – and then defend it against three major objections. (shrink)

In a recent article, I criticized Kathrin Glüer and Åsa Wikforss's so-called “no guidance argument” against the truth norm for belief, for conflating the conditions under which that norm recommends belief with the psychological state one must be in to apply the norm. In response, Glüer and Wikforss have offered a new formulation of the no guidance argument, which makes it apparent that no such conflation is made. However, their new formulation of the argument presupposes a much too narrow understanding (...) of what it takes for a norm to influence behaviour, and betrays a fundamental misunderstanding of the point of the truth norm. Once this is taken into account, it becomes clear that the no guidance argument fails. (shrink)

The DSM‐5 highlights two essential psychological features of anorexia nervosa (AN): recalcitrant fear of gaining weight and body image disturbance. Prominent accounts grant false beliefs about body weight and shape a central role in the explanation of AN behavior. In this article, we propose a stronger emphasis on recalcitrant fear. We show that such fear can explain AN behavior without the intermediary of a false belief, and thus without the associated explanatory burdens and conceptual difficulties. We illustrate how shifting the (...) emphasis from false belief to recalcitrant fear can supplement a number of different non‐doxastic models of AN. (shrink)

The predominant view in developmental psychology is that young children are able to reason with the concept of desire prior to being able to reason with the concept of belief. We propose an explanation of this phenomenon that focuses on the cognitive tasks that competence with the belief and desire concepts enable young children to perform. We show that cognitive tasks that are typically considered fundamental to our competence with the belief and desire concepts can be performed with the concept (...) of desire in the absence of competence with the concept of belief, whereas the reverse is considerably less feasible. (shrink)

According to the thesis of pragmatic encroachment, practical circumstances can affect whether someone is in a position to know or rationally believe a proposition. For example, whether it is epistemically rational for a person to believe that the bank will be open on Saturdays, can depend not only on the strength of the person’s evidence, but also on how practically important it is for the person not to be wrong about the bank being open on Saturdays. In recent years, philosophers (...) have argued that moral considerations can also affect the epistemic rationality of belief, thus giving rise to moral encroachment. In previous work (Steglich-Petersen, forthcoming a), I have developed an explanation of pragmatic encroachment grounded in an instrumentalist theory of epistemic reasons. Here, I argue that this explanation extends to moral encroachment as well, including so-called “radical” moral encroachment. I also show how this explanation dispels the worry raised by Gerken (2019), that pragmatic encroachment might give rise to morally adverse consequences in the form of epistemic injustice. (shrink)

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized (...) conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science. (shrink)

It seems obvious that when higher-order evidence makes it rational for one to doubt that one’s own belief on some matter is rational, this can undermine the rationality of that belief. This is known as higher-order defeat. However, despite its intuitive plausibility, it has proved puzzling how higher-order defeat works, exactly. To highlight two prominent sources of puzzlement, higher-order defeat seems to defy being understood in terms of conditionalization; and higher-order defeat can sometimes place agents in what seem like epistemic (...) dilemmas. This chapter draws attention to an overlooked aspect of higher-order defeat, namely that it can undermine the resilience of one’s beliefs. The notion of resilience was originally devised to understand how one should reflect the ‘weight’ of one’s evidence. But it can also be applied to understand how one should reflect one’s higher-order evidence. The idea is particularly useful for understanding cases where one’s higher-order evidence indicates that one has failed in correctly assessing the evidence, without indicating whether one has over- or underestimated the degree of evidential support for a proposition. But it is exactly in such cases that the puzzles of higher-order defeat seem most compelling. (shrink)

Many have found it plausible that practical circumstances can affect whether someone is in a position to know or rationally believe a proposition. For example, whether it is rational for a person to believe that the bank will be open tomorrow, can depend not only on the person’s evidence, but also on how practically important it is for the person not to be wrong about the bank being open tomorrow. This supposed phenomenon is known as “pragmatic encroachment” on knowledge and (...) rational belief. Assuming that the phenomenon is real, I ask what explains it. I argue that a variant of instrumentalism about epistemic reasons offers a natural explanation, that at the same time is able avoid commitment to a more radical form of pragmatism. (shrink)

In his influential discussion of the aim of belief, David Owens argues that any talk of such an ‘aim’ is at best metaphorical. In order for the ‘aim’ of belief to be a genuine aim, it must be weighable with other aims in deliberation, but Owens claims that this is impossible. In previous work, I have pointed out that if we look at a broader range of deliberative contexts involving belief, it becomes clear that the putative aim of belief is (...) capable of being weighed against other aims. Recently, however, Ema Sullivan-Bissett and Paul Noordhof have objected to this response on the grounds that it employs an undefended conception of the aim of belief not shared by Owens, and that it equivocates between importantly different contexts of doxastic deliberation. In this note, I argue that both of these objections fail. (shrink)

While research on Attention Deficit Hyperactivity Disorder (ADHD) has traditionally focused on cognitive and behavioral deficits, there is increasing interest in exploring possible resources associated with the disorder. In this paper, we argue that the attention-patterns associated with ADHD can be understood as expressing an alternative style of inquiry, or “zetetic” style, characterized mainly by a lower barrier for becoming curious and engaging in inquiry, and a weaker disposition to regulate curiosity in response to the cognitive and practical costs associated (...) with inquiry. Exploring this zetetic style from an epistemological perspective, we show that it is often epistemically rational and can be advantageous in important respects. We close by suggesting that the very aspects of the zetetic style that might at times render it disadvantageous from the point of view of individual subjects with ADHD, will often confer epistemic benefits to the social group that the subjects are part of. (shrink)

For synergistic interactions between humans and artificial intelligence (AI) systems, AI outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly tested in human user studies. However, whether XAI researchers consider potential cultural differences in human explanatory needs remains unexplored. We highlight psychological research that found significant differences in human explanations between many people from Western, commonly individualist countries and people from non-Western, often collectivist countries. We argue that XAI research currently overlooks these variations and that (...) many popular XAI designs implicitly and problematically assume that Western explanatory needs are shared cross-culturally. Additionally, we systematically reviewed over 200 XAI user studies and found that most studies did not consider relevant cultural variations, sampled only Western populations, but drew conclusions about human-XAI interactions more generally. We also analyzed over 30 literature reviews of XAI studies. Most reviews did not mention cultural differences in explanatory needs or flag overly broad cross-cultural extrapolations of XAI user study results. Combined, our analyses provide evidence of a cultural bias toward Western populations in XAI research, highlighting an important knowledge gap regarding how culturally diverse users may respond to widely used XAI systems that future work can and should address. (shrink)

Does algorithmic political bias contribute to an entrenchment and polarization of political positions? Franke argues that it may do so because the bias involves classifications of people as liberals, conservatives, etc., and individuals often conform to the ways in which they are classified. I provide a novel example of this phenomenon in human–computer interactions and introduce a social psychological mechanism that has been overlooked in this context but should be experimentally explored. Furthermore, while Franke proposes that algorithmic political classifications entrench (...) political identities, I contend that they may often produce the opposite result. They can lead people to change in ways that disconfirm the classifications. Consequently and counterintuitively, algorithmic political bias can in fact decrease political entrenchment and polarization. (shrink)

Many epistemologists have been attracted to the view that knowledge-wh can be reduced to knowledge-that. An important challenge to this, presented by Jonathan Schaffer, is the problem of “convergent knowledge”: reductive accounts imply that any two knowledge-wh ascriptions with identical true answers to the questions embedded in their wh-clauses are materially equivalent, but according to Schaffer, there are counterexamples to this equivalence. Parallel to this, Schaffer has presented a very similar argument against binary accounts of knowledge, and thereby in favour (...) of his alternative contrastive account, relying on similar examples of apparently inequivalent knowledge ascriptions, which binary accounts treat as equivalent. In this article, I develop a unified diagnosis and solution to these problems for the reductive and binary accounts, based on a general theory of knowledge ascriptions that embed presuppositional expressions. All of Schaffer's apparent counterexamples embed presuppositional expressions, and once the effect of these is taken into account, it becomes apparent that the counterexamples depend on an illicit equivocation of contexts. Since epistemologists often rely on knowledge ascriptions that embed presuppositional expressions, the general theory of them presented here will have ramifications beyond defusing Schaffer's argument. (shrink)

Why do we engage in folk psychology, that is, why do we think about and ascribe propositional attitudes such as beliefs, desires, intentions etc. to people? On the standard view, folk psychology is primarily for mindreading, for detecting mental states and explaining and/or predicting people’s behaviour in terms of them. In contrast, McGeer (1996, 2007, 2015), and Zawidzki (2008, 2013) maintain that folk psychology is not primarily for mindreading but for mindshaping, that is, for moulding people’s behavior and minds (e.g., (...) via the imposition of social norms) so that coordination becomes easier. Mindreading is derived from and only as effective as it is because of mindshaping, not vice versa. I critically assess McGeer’s, and Zawidzki’s proposal and contend that three common motivations for the mindshaping view do not provide sufficient support for their particular version of it. I argue furthermore that their proposal underestimates the role that epistemic processing plays for mindshaping. And I provide reasons for favouring an alternative according to which, in social cognition involving ascriptions of propositional attitudes, neither mindshaping nor mindreading is primary but both are complementary in that effective mindshaping depends as much on mindreading as effective mindreading depends on mindshaping. (shrink)

Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...) in science. Focusing on ‘invisible’ diversity, I argue that in one common kind of group in science, if group members have full insight into their group’s diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group’s diversity. There is thus an epistemic reason for context-dependent limitations on scientists’ insight into the diversity of their group. (shrink)

Epistemic instrumentalists think that epistemic normativity is just a special kind of instrumental normativity. According to them, you have epistemic reason to believe a proposition insofar as doing so is conducive to certain epistemic goals or aims—say, to believe what is true and avoid believing what is false. Perhaps the most prominent challenge for instrumentalists in recent years has been to explain, or explain away, why one’s epistemic reasons often do not seem to depend on one’s aims. This challenge can (...) arguably be met. But a different challenge looms: instrumental reasons in the practical domain have various properties that epistemic reasons do not seem to share. In this chapter, we offer a way for epistemic instrumentalists to overcome this challenge. Our main thesis takes the form of a conditional: if we accept an independently plausible transmission principle of instrumental normativity, we can maintain that epistemic reasons in fact do share the relevant properties of practical instrumental reasons. In addition, we can explain why epistemic reasons seem to lack these properties in the first place: some properties of epistemic reasons are elusive, or easy to overlook, because we tend to think and talk about epistemic reasons in an ‘elliptical’ manner. (shrink)

The English language now dominates scientific communications. Yet, many scientists have English as their second language. Their English proficiency may therefore often be more limited than that of a ‘native speaker’, and their scientific contributions (e.g. manuscripts) in English may frequently contain linguistic features that disrupt the fluency of a reader’s, or listener’s information processing even when the contributions are understandable. Scientific gatekeepers (e.g. journal reviewers) sometimes cite these features to justify negative decisions on manuscripts. Such justifications may rest on (...) the prima facie plausible assumption that linguistic characteristics that hinder fast and easy understandability of scientific contributions are epistemically undesirable in science. I shall raise some doubts about this assumption by drawing on empirical research on processing fluency and its biasing effects. I also argue that directing scientists with English as a foreign language toward approaching ‘native-level’ English can have the negative consequence of reducing their potential to make scientific belief formation more reliable. These points suggest that one seemingly compelling justification for linguistically discriminating against scientific contributions in ‘non-native’ English is questionable and that the common insistence by scientific gatekeepers on ‘native-like’ English may be epistemically harmful to science. (shrink)

Philosophy &Public Affairs, Volume 52, Issue 1, Page 69-100, Winter 2024.

Drawing on empirical findings, a number of philosophers have recently argued that people who use English as a foreign language may face a linguistic bias in academia in that they or their contributions may be perceived more negatively than warranted because of their English. I take a critical look at this argument. I first distinguish different phenomena that may be conceptualized as linguistic bias but that should be kept separate to avoid overgeneralizations. I then examine a range of empirical studies (...) that philosophers have cited to argue that people who use English as a foreign language are subject to linguistic bias in academia. I contend that many of these studies do not sufficiently support key claims that philosophers have made about linguistic bias, are challenged by counterevidence, and lack generalizability. I end by introducing methodological recommendations that may help philosophers develop more convincing empirically informed arguments regarding linguistic bias. (shrink)

It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and that agents can take (...) full responsibility for the systems they use even if these systems are opaque. Requiring that an agent fully understand how a system works is an untenably strong condition for that agent to take full responsibility for the system and risks absolving AI developers from responsibility for their products. AI-based science need not create trust-related social epistemological problems if we keep in mind that what makes both individual scientists and their use of AI systems trustworthy isn’t full transparency of the internal processing but their adherence to social and institutional norms that ensure that scientific claims can be trusted. (shrink)

It has recently been suggested that politically motivated cognition leads progressive individuals to form beliefs that underestimate real differences between social groups and to process information selectively to support these beliefs and an egalitarian outlook. I contend that this tendency, which I shall call ‘egalitarian confirmation bias’, is often ‘Mandevillian’ in nature. That is, while it is epistemically problematic in one’s own cognition, it often has effects that significantly improve other people’s truth tracking, especially that of stigmatized individuals in academia. (...) Due to its Mandevillian character, egalitarian confirmation bias isn’t only epistemically but also ethically beneficial, as it helps decrease social injustice. Moreover, since egalitarian confirmation bias has Mandevillian effects especially in academia, and since progressives are particularly likely to display the bias, there is an epistemic reason for maintaining the often-noted political majority of progressives in academia. That is, while many researchers hold that diversity in academia is epistemically beneficial because it helps reduce bias, I argue that precisely because political diversity would help reduce egalitarian confirmation bias, it would in fact in one important sense be epistemically costly. (shrink)

It is well known that on the Internet, computer algorithms track our website browsing, clicks, and search history to infer our preferences, interests, and goals. The nature of this algorithmic tracking remains unclear, however. Does it involve what many cognitive scientists and philosophers call ‘mindreading’, i.e., an epistemic capacity to attribute mental states to people to predict, explain, or influence their actions? Here I argue that it does. This is because humans are in a particular way embedded in the process (...) of algorithmic tracking. Specifically, if we endorse common conditions for extended cognition, then human mindreading (by website operators and users) is often literally extended into, that is, partly realized by, not merely causally coupled to, computer systems performing algorithmic tracking. The view that human mindreading extends outside the body into computers in this way has significant ethical advantages. It points to new conceptual ways to reclaim our autonomy and privacy in the face of increasing risks of computational control and online manipulation. These benefits speak in favor of endorsing the notion of extended mindreading. (shrink)

In a recent paper (2008), I presented two arguments against the thesis that intentional states are essentially normative. In this paper, I defend those arguments from two recent responses, one from Nick Zangwill in his (2010), and one from Daniel Laurier in the present volume, and offer improvements of my arguments in light of Laurier’s criticism.

Many philosophers have sought to account for doxastic and epistemic norms by supposing that belief ‘aims at truth.’ A central challenge for this approach is to articulate a version of the truth-aim that is at once weak enough to be compatible with the many truth-independent influences on belief formation, and strong enough to explain the relevant norms in the desired way. One phenomenon in particular has seemed to require a relatively strong construal of the truth-aim thesis, namely ‘transparency’ in doxastic (...) deliberation. In this paper, I argue that the debate over transparency has been in the grip of a false presupposition, namely that the phenomenon must be explained in terms of being a feature of deliberation framed by the concept of belief. Giving up this presupposition makes it possible to adopt weaker and more plausible versions of the truth-aim thesis in accounting for doxastic and epistemic norms. (shrink)

Jonathan Quong proposes the following “Stringency Principle” for proportionality in self-defense: “If a wrongful attacker threatens to violate a right with stringency level X, then the level of defensive force it is proportionate to impose on the attacker is equivalent to X.” I adduce a counter-example that shows that this principle is wrong. Furthermore, Quong assumes that what determines the stringency of a person’s right is exclusively the amount of force that one would have to avert from someone else in (...) order to have a necessity justification for one’s transgressing the right in order to avert said force. Yet, Quong provides no argument as to why, first, the stringency of a right should be measured exclusively with reference to permissible rights-infringement; and second, he provides no explanation as to why the permissibility of the rights-infringement should be established with reference to “someone else,” namely with reference to an “innocent person,” instead of with reference to the person against whom the right in question is actually being held: the aggressor. I argue that the latter option is certainly the more plausible one, but so amended the stringency principle will be unable to adjudicate any substantive questions about proportionality in self-defense. In particular, Quong’s account cannot “explain” – contrary to what Quong claims – the allegedly intuitive judgment that one must not kill in defense of property or in order to avoid minor injuries. (shrink)

Psychological studies on fictional persuasion demonstrate that being engaged with fiction systematically affects our beliefs about the real world, in ways that seem insensitive to the truth. This threatens to undermine the widely accepted view that beliefs are essentially regulated in ways that tend to ensure their truth, and may tempt various non-doxastic interpretations of the belief-seeming attitudes we form as a result of engaging with fiction. I evaluate this threat, and argue that it is benign. Even if the relevant (...) attitudes are best seen as genuine beliefs, as I think they often are, their lack of appropriate sensitivity to the truth does not undermine the essential tie between belief and truth. To this end, I shall consider what I take to be the three most plausible models of the cognitive mechanisms underlying fictional persuasion, and argue that on none of these models does fictional persuasion undermine the essential truth-tie. (shrink)

Can young children such as 3-year-olds represent the world objectively? Some prominent developmental psychologists—such as Perner and Tomasello—assume so. I argue that this view is susceptible to a prima facie powerful objection: To represent objectively, one must be able to represent not only features of the entities represented but also features of objectification itself, which 3-year-olds cannot do yet. Drawing on Burge's work on perceptual constancy, I provide a response to this objection and motivate a distinction between three different kinds (...) of objectivity. This distinction helps advance current research on both objectivity and teleological action explanations in young children. (shrink)

Teleosemantics explains mental representation in terms of biological function and selection history. One of the main objections to the account is the so-called ‘Swampman argument’ (Davidson 1987), which holds that there could be a creature with mental representation even though it lacks a selection history. A number of teleosemanticists reject the argument by emphasising that it depends on assuming a creature that is fi ctitious and hence irrelevant for teleosemantics because the theory is only concerned with representations in real-world organisms (...) (Millikan 1996, Neander 1996, 2006, Papineau 2001, 2006). I contend that this strategy doesn’t succeed. I off er an argument that captures the spirit of the original Swampman objection but relies only on organisms found in the actual world. Th e argument undermines the just mentioned response to the Swampman objection, and furthermore leads to a particular challenge to strong representationalist theories of consciousness that endorse teleosemantics such as, e.g., Dretske’s (1995) and Tye’s (1995, 2000) accounts. On these theories, the causal effi cacy of consciousness in actual creatures will be undermined. (shrink)

The purpose of the present chapter is to survey the work on epistemic norms of action, practical deliberation and assertion and to consider how these norms are interrelated. On a more constructive note, we will argue that if there are important similarities between the epistemic norms of action and assertion, it has important ramifications for the debates over speech acts and harm. Thus, we hope that the chapter will indicate how thinking about assertions as a speech act can benefit from (...) a broader action theoretic setting. We will proceed as follows. In Section 2, we provide a survey of epistemic norms of action and practical deliberation. In Section 3, we turn to the epistemic norms of assertion. In Section 4, we consider arguments for and against commonality of the epistemic norms of actions, practical deliberation and assertion. In Section 5, we discuss some of the ramifications of the debates over epistemic norms of assertion such as whether they may be extended to other linguistic phenomena such as Gricean implicature. In Section 6, we consider the consequences of the debate about the epistemic norms of action and practical deliberation for debates about speech and harm. (shrink)

In empirically informed research on action explanation, philosophers and developmental psychologists have recently proposed a teleological account of the way in which we make sense of people’s intentional behavior. It holds that we typically don’t explain an agent’s action by appealing to her mental states but by referring to the objective, publically accessible facts of the world that count in favor of performing the action so as to achieve a certain goal. Advocates of the teleological account claim that this strategy (...) is our main way of understanding people’s actions. I argue that common motivations mentioned to support the teleological account are insufficient to sustain its generalization from children to adults. Moreover, social psychological studies, combined with theoretical considerations, suggest that we do not explain actions mainly by invoking publically accessible, reason-giving facts alone but by ascribing mental states to the agent. (shrink)