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)

Access to surrogacy is often cast in the language of rights. Here, I examine what form such a right could take. I distinguish between surrogacy as a right to assisted procreation, and surrogacy as a contractual right. I find the first interpretation implausible: it would give rise to claims against the state that no state can fulfil, namely the provision of sufficient surrogates to satisfy the need. Instead, I argue that the right to surrogacy can only be plausibly understood as (...) a contractual right. I then investigate two different sets of harms that are often employed to argue against such a contractual interpretation of the right to surrogacy: harm to women's interests in a gendered society, and harm to the sense of self of the surrogate. I assess both of these through the analytical lens of vulnerability. I find neither of them to be convincing arguments against surrogacy contracts. In conclusion, I agree that surrogacy contracts should be carefully regulated, but I disagree with those who call for prohibition of the right to surrogacy as a contractual right. (shrink)

The movement of people across borders is one of the most pressing issues of our time. Yet it is still unclear how migration should be regulated to be fair to the sending societies, the host societies and the individual migrant. What is at issue? Are we discussing migration from an ethical or from a political philosophical perspective, or both? Are we discussing migration from a global justice perspective or social justice perspective? Do we consider political legitimacy and democratic self-determination as (...) part of our analysis? How should we balance demands of justice in immigration compared to those of emigration? (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)

Practically all modern definitions of war rule out that individuals can wage war. They conceive of war as a certain kind of conflict between groups. In fact, many definitions even restrict the term “war” to sustained armed conflicts between states. Instead of taking such definitions as points of departure, the article starts from scratch. I first explain what an explication of the concept of “war” should achieve. I then introduce the fundamental, and frequently overlooked, distinction between war as an historical (...) event and war as an action. It is war as action—which, unlike events, can be right or wrong—that I explicate. Testing our linguistic intuitions with different examples of conflict I isolate several criteria that a war proper has to fulfill and try to demonstrate that not only collectives but individuals, too, can wage war. In conclusion I examine alternative definitions of war and show that in comparison to them mine fares rather well. (shrink)

According to the dominant position in the just war tradition from Augustine to Anscombe and beyond, there is no "moral equality of combatants." That is, on the traditional view the combatants participating in a justified war may kill their enemy combatants participating in an unjustified war - but not vice versa (barring certain qualifications). I shall argue here, however, that in the large number of wars (and in practically all modern wars) where the combatants on the justified side violate the (...) rights of innocent people ("collateral damage"), these combatants are in fact liable to attack by the combatants on the unjustified side. I will support this view with a rights-based account of liability to attack and then defend it against a number of objections raised in particular by Jeff McMahan. The result is that the thesis of the moral equality of combatants holds good for a large range of armed conflicts while the opposing thesis is of very limited practical relevance. (shrink)

Can AI developers be held epistemically responsible for the processing of their AI systems when these systems are epistemically opaque? And can explainable AI (XAI) provide public justificatory reasons for opaque AI systems’ outputs? Koskinen (2024) gives negative answers to both questions. Here, I respond to her and argue for affirmative answers. More generally, I suggest that when considering people’s uncertainty about the factors causally determining an opaque AI’s output, it might be worth keeping in mind that a degree of (...) uncertainty about conclusions is inevitable even in entirely human-based empirical science because in induction there’s always a risk of getting it wrong. Keeping this in mind may help appreciate that requiring full transparency from AI systems before epistemically trusting their outputs might be unusually (and potentially overly) demanding. (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)

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)

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)

This brief reply to Ferzan shows that her recent review of Self-Defense, Necessity, and Punishment is incoherent and completely misrepresents a central claim of mine (to the point of attributing to me the opposite claim than the one I am actually and quite clearly and explicitly making). Her other criticisms fall flat too.

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)

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)

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)

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)

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)

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)

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)

Thomas Pogge claims "that, by shaping and enforcing the social conditions that foreseeably and avoidably cause the monumental suffering of global poverty, we are harming the global poor ... or, to put it more descriptively, we are active participants in the largest, though not the gravest, crime against humanity ever committed." In other words, he claims that by upholding certain international arrangements we are violating our strong negative duties not to harm, and not just some positive duties to help. I (...) shall argue that even if Pogge were correct in claiming that certain rich states or at least the rich states collectively violate certain negative duties towards the poor and harm the poor, he is far too hasty in concluding that "we," the citizens of those states, are thus harming the global poor or violating our negative duties towards them. In fact, his conclusion can be shown to be wrong not least of all in the light of some of his own assumptions about collective responsibility, the enforceability of human rights, and terrorism. In addition, I will also argue that his view that we share responsibility for the acts of our political "representatives," who allegedly act "on our behalf," is unwarranted. (shrink)

Even among those who find lethal defense against non-responsible threats, innocent aggressors, or justified aggressors justified even in one to one cases, there is a debate as to what the best explanation of this permissibility is. The contenders in this debate are the liability account, which holds that the non-responsible or justified human targets of the defensive measures are liable to attack, and the justified infringement account, which claims that the targets retain their right not to be attacked but may (...) be attacked anyway, even in one to one situations. Given that we normally think that rights are trumps, this latter claim is counter-intuitive and rather surprising, and therefore in need of justification and explanation. So far only Jonathan Quong has actually tried to provide an explanation; however, I will argue that his explanation fails and that Quong’s own account of liability is misguided. I then address Helen Frowe’s critique of the liability account. She makes the important concession that the tactical bomber has to compensate his victims, but she tries to block the conclusion that he must therefore be liable. I will demonstrate that her attempt to explain away liability fails once that concession is made. (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)

In this paper, I challenge the argument that if we take health to be a meta-capability, we will be able to address the vulnerabilities that characterize human life. Instead, I argue that some vulnerabilities, like that attached to being a patient, can not be successfully addressed.

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)

In the tradition of just war theory two assumptions have been taken pretty much for granted: first, that there are quite a lot of justified wars, and second, that there is a moral inequality of combatants, that is, that combatants participating in a justified war may kill their enemy combatants participating in an unjustified war but not vice versa. I will argue that the first assumption is wrong and that therefore the second assumption is virtually irrelevant for reality. I will (...) also argue, primarily against Jeff McMahan, that his particular thesis about the moral inequality of “just” and “unjust combatants” is an analytical truth which, however, does hardly apply to anything (there are few if any “unjust combatants” as he defines them). If one takes his thesis less literally, namely in the sense of a thesis about combatants participating in a justified war and combatants participating in an unjustified war, it is correct in principle, but still of little practical relevance even if one disregarded the fact that there are virtually no justified wars. One of the reasons for this is that, contrary to McMahan’s claims, justification does not defeat liability. (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)

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)

Many philosophers hold that generics (i.e., unquantified generalizations) are pervasive in communication and that when they are about social groups, this may offend and polarize people because generics gloss over variations between individuals. Generics about social groups might be particularly common on Twitter (X). This remains unexplored, however. Using machine learning (ML) techniques, we therefore developed an automatic classifier for social generics, applied it to 1.1 million tweets about people, and analyzed the tweets. While it is often suggested that generics (...) are ubiquitous in everyday communication, we found that most tweets (78%) about people contained no generics. However, tweets with generics received more “likes” and retweets. Furthermore, while recent psychological research may lead to the prediction that tweets with generics about political groups are more common than tweets with generics about ethnic groups, we found the opposite. However, consistent with recent claims that political animosity is less constrained by social norms than animosity against gender and ethnic groups, negative tweets with generics about political groups were significantly more prevalent and retweeted than negative tweets about ethnic groups. Our study provides the first ML-based insights into the use and impact of social generics on Twitter. (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)

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)

David Rodin denies that defensive wars against unjust aggression can be justified if the unjust aggression limits itself, for example, to the annexation of territory, the robbery of resources or the restriction of political freedom, but would endanger the lives, bodily integrity or freedom from slavery of the citizens only if the unjustly attacked state actually resisted the aggression. I will argue that Rodin's position is not correct. First, Rodin's comments on the necessity condition and its relation to an alleged (...) "duty to retreat" misinterpret the law, and a correct interpretation of the law is not only compatible with, but implies a permission to resist the "bloodless invader," and this is also the correct view from the perspective of morality. Second, Rodin's remarks on the proportionality of self-defense against conditional threats focus on physical or material harm but implausibly ignore the severity of the violations of autonomy and of the socio-legal or moral order that such conditional threats involve. Third, I will address Rodin's claim that defensive wars against "political aggression" are disproportionate because they risk the lives of those defended in an attempt to secure lesser interests. I will argue that this take on proportionality misses the point in an important respect, namely by confusing wide and narrow proportionality, and makes unwarranted assumptions about the alleged irrationality or impermissibility of incurring or imposing lethal risks to safeguard less vital interests. Next, I will also show that while Rodin talks of a "myth of national self-defense" and of the necessity of moving beyond traditional just war theory and international law, it is actually his interpretation of just war theory and international law that weaves myths. Finally, I will argue that Rodin's views on national self-defense on the one hand, and "war as law enforcement" on the other, are incoherent. (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)

It is unknown to what extent medical researchers generalize study findings beyond their samples when their sample size, sample diversity, or knowledge of conditions that support external validity do not warrant it. It is also unknown to what extent medical researchers describe their results with precise quantifications or unquantified generalizations, i.e., generics, that can obscure variations between individuals. We therefore systematically reviewed all prospective studies (n = 533) published in the top four highest ranking medical journals, Lancet, New England Journal (...) of Medicine (NEJM), Journal of the American Medical Association (JAMA), and the British Medical Journal (BMJ), from January 2022 to May 2023. We additionally reviewed all NEJM Journal Watch clinical research summaries (n = 143) published during the same time. Of all research articles reporting prospective studies, 52.5% included generalizations beyond specific national study populations, with the numbers of articles with generics varying significantly between journals (JAMA = 12%; Lancet = 77%) (p < 0.001, V = 0.48). There was no evidence that articles containing broader generalizations or generics were correlated with larger or more nationally diverse samples. Moreover, only 10.2% of articles with generalizations beyond specific national populations reported external validity strengthening factors that could potentially support such extrapolations. There was no evidence that original research articles and NEJM Journal Watch summaries intended for practitioners differed in their use of broad generalizations, including generics. Finally, from the journal with the highest citation impact, articles containing broader conclusions were correlated with more citations. Since there was no evidence that studies with generalizations beyond specific national study populations or with generics were associated with larger, more nationally diverse samples, or with reports of population similarity that may permit extensions of conclusions, our findings suggest that the generalizations in many articles were insufficiently supported. Caution against overly broad generalizations in medical research is warranted. (shrink)

The paper briefly summarises and critiques Tomasello’s A Natural History of Human Thinking. After offering an overview of the book, the paper focusses on one particular part of Tomasello’s proposal on the evolution of uniquely human thinking and raises two points of criticism against it. One of them concerns his notion of thinking. The other pertains to empirical findings on egocentric biases in communication.

Gilabert argues that the humanist conception of duties of global justice and the principle of cosmopolitan justifiability will lead us to accept an egalitarian definition of individual autonomy. Gilabert further argues that realizing conditions of individual autonomy can serve as the cut-off point to duties of global justice. I investigate his idea of autonomy, arguing that in order to make sense of this claim, we need a concept of autonomy. I propose 4 possible definitions of autonomy, none of which seem (...) to necessitate Gilabert’s duties of egalitarian global justice. Instead, I propose that he may have in mind Autonomy 5, which requires that individuals have access to a maximum number of options and not simply a sufficient range of options to choose from. I criticize this premise as too demanding in the global world characterized by fundamental inequality. Second, I argue that if we were to endorse the preconditions for Autonomy 5, we would have to accept that Gilabert’s theory of global justice doesn’t provide for a cut-off point of duties of global justice. (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)

A standard example of a justified aggressor is the tactical bomber who is about to destroy an ammunitions factory in a proportionate, justified military attack, full well knowing that an innocent civilian bystander will also be killed by his attack (“collateral damage”). Intuitively it seems hard to believe that the innocent bystander threatened by the tactical bomber is morally prohibited from killing him in self-defense. Yet, Stephen R. Shalom indeed endorses such a prohibition. I shall argue that all the examples (...) Shalom offers in support of his view are disanalogous to the case in question, and provide examples that are analogous and strongly suggest that Shalom’s claim leads to counter-intuitive implications. Moreover, I will provide a clear-cut case that demonstrates that Shalom cannot rely on a general principle prohibiting lethal violence against permissible violence. Thus, I conclude that Shalom has failed to provide a convincing argument in support of his case. (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)

Recent arguments trying to justify further free speech restrictions by appealing to harms that are allegedly serious enough to warrant such restrictions regularly fail to provide sufficient empirical evidence and normative argument. This is also true for the attempt made by Bonotti and Seglow. They offer no valid argument for their claim that it is wrong to direct “religiously offensive speech” at “unjustly disadvantaged” minorities (thereby allegedly undermining their “self-respect”), nor for their further claim that this is not the case (...) when such speech is directed at “established majorities.” Moreover, their account has either counter-intuitive moral implications or succumbs to logical or pragmatic incoherence. Thus, they have not adduced convincing reasons to further restrict speech. In fact, some of the reasons for this failure provide, in turn, positive reasons in support of free speech. Two important (not new, but newly confirmed) reasons are that restricting free speech undermines both equal civic standing as well as fact-guided (as opposed to blindly ideological) policies. Free speech, in contrast, is indispensable for both. (shrink)

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)

Recently, philosophers have appealed to empirical studies to argue that whenever we think that p, we automatically believe that p (Millikan 2004; Mandelbaum 2014; Levy and Mandelbaum 2014). Levy and Mandelbaum (2014) have gone further and claimed that the automaticity of believing has implications for the ethics of belief in that it creates epistemic obligations for those who know about their automatic belief acquisition. I use theoretical considerations and psychological findings to raise doubts about the empirical case for the view (...) that we automatically believe what we think. Furthermore, I contend that even if we set these doubts aside, Levy and Mandelbaum’s argument to the effect that the automaticity of believing creates epistemic obligations is not fully convincing. (shrink)

It is typically assumed that while we know other people’s mental states by observing and interpreting their behavior, we know our own mental states by introspection, i.e., without interpreting ourselves. In his latest book, The opacity of mind: An integrative theory of self-knowledge, Peter Carruthers (2011) argues against this assumption. He holds that findings from across the cognitive sciences strongly suggest that self-knowledge of conscious propositional attitudes such as intentions, judgments, and decisions involves a swift and unconscious process of self-interpretation (...) that utilizes the same sensory channels that we employ when working out other people’s mental states. I provide an overview of Carruthers’ book before discussing a pathological case that challenges his account of self-knowledge and mentioning empirical evidence that undermines his use of a particular kind of data in his case against introspection of conscious attitudes. (shrink)

Suppose we know our own attitudes, e.g. judgments and decisions, only by unconsciously interpreting ourselves. Would this undermine the assumption that there are conscious attitudes? Carruthers has argued that if the mentioned view of selfknowledge is combined with either of the two most common approaches to consciousness, i.e. the higher-order state account or the global workspace theory , then the conjunction of these theories implies that there are no conscious attitudes. I shall show that Carruthers' argument against the existence of (...) conscious attitudes doesn't succeed, and mention studies on autism and logical reasoning under cognitive load that suggest that there are conscious attitudes. (shrink)

To better navigate social interactions, we routinely (consciously or unconsciously) categorize people based on their distinctive features. One important way we do this is by ascribing political orientations to them. For example, based on certain behavioral cues, we might perceive someone as politically liberal, progressive, conservative, libertarian, Marxist, anarchist, or fascist. Although such ascriptions may appear to be mere descriptions, I argue that they can have deeper, regulative effects on their targets, potentially politicizing and polarizing them in ways that remain (...) underexplored in research on political polarization. To capture this dynamic, I introduce the notion of ‘politicizing mindshaping,’ distinguish it from other types of politicization, and review evidence suggesting that politicizing mindshaping is likely common. Finally, I contend that the pernicious effects of politicizing mindshaping may currently be significantly underestimated. This is because, unlike in many other cases of social labeling, negativity in political labeling is, to some extent, widely tolerated – even encouraged – and largely unconstrained by social norms in democratic countries. (shrink)

McMahan’s own example of a symmetrical defense case, namely his tactical bomber example, opens the door wide open for soldiers to defend their fellow-citizens (on grounds of their special obligations towards them) even if as part of this defense they target non-liable soldiers. So the soldiers on both sides would be permitted to kill each other and, given how McMahan defines “justification,” they would also be justified in doing so and hence not be liable. Thus, we arrive, against McMahan’s intentions, (...) at a moral equality of combatants. In addition, his own account of liability cannot deal adequately with symmetrical defense cases in the first place. This undermines his presupposition that justification defeats liability, which is central to his defense of the moral inequality of combatants. I shall argue that McMahan’s attempts to counter these objections fail and that therefore his general claim of the moral inequality of combatants remains unpersuasive. (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)

The idea that all human beings have equal moral worth has been challenged by insisting that this is utterly counter-intuitive in the case of individuals like, for instance, Hitler on the one hand and Schweitzer on the other. This seems to be confirmed by a hypothetical in which one can only save one of the two: intuitively, one clearly should save Schweitzer, not Hitler, even if Hitler does not pose a threat anymore. The most natural interpretation of this intuition appeals (...) to unequal moral worth. Jeremy Waldron has recently tried to meet this challenge by giving a different interpretation, thereby trying to explain away the counter-intuitive implications of the basic equality doctrine in this case, and by suggesting that the rejection of basic equality comes with counter-intuitive implications of its own. I shall argue that Waldron’s response to the challenge fails on both counts. (shrink)

P.J. Markie tries to solve the so-called particularity problem of natural duty accounts of political obligation, a problem which seems to make natural duty accounts implausible. I argue that Markie at best “dissolves” the problem: while his own natural duty account of political obligation still does not succeed in ensuring particularity, this is not an implausible but an entirely plausible implication of his account, thanks to the weakness of his concept of political obligation. The price for this, however, is that (...) his approach has little to do with political obligation and the particularity problem as discussed in the literature. (shrink)

Recently, researchers and reporters have made a wide range of claims about the distribution, nature, and societal impact of political polarization. Here I offer reasons to believe that, even when they are correct and prima facie merely descriptive, many of these claims have the highly negative side effect of increasing political polarization. This is because of the interplay of two factors that have so far been neglected in the work on political polarization, namely that (1) people have a tendency to (...) conform to descriptive norms (i.e., norms capturing (perceptions of) what others commonly do, think, or feel), and (2) claims about political polarization often convey such norms. Many of these claims thus incline people to behave, cognize, and be affectively disposed in ways that contribute to social division. But there is a silver lining. People’s tendency to conform to descriptive norms also provides the basis for developing new, experimentally testable strategies for counteracting political polarization. I outline three. (shrink)

Does evolutionary theory have the potential to undermine morality? In his book The Evolution of Morality, Richard Joyce (2006) argues for a positive answer. He contends that an evolutionary account of morality would undermine moral judgements and lend support to moral scepticism. I offer a critique of Joyce’s argument. As it turns out, his case can be read in two different ways. It could be construed as an argument to establish a general scepticism about the justification of moral judgements. Or (...) it could be read as an argument that targets only a particular meta-ethical position, namely moral realism. My claim is that it fails on both interpretations. There is no reason to believe that evolutionary considerations undermine morality. (shrink)

I argue that the criterion of just cause is not independent of proportionality and other valid jus ad bellum criteria. One cannot know whether there is a just cause without knowing whether the other (valid) criteria (apart from ‘right intention’) are satisfied. The advantage of this account is that it is applicable to all wars, even to wars where nobody will be killed or where the enemy has not committed a rights violation but can be justifiably warred against anyway. This (...) account also avoids the inefficiency of having proportionality considerations come up at two different points: in a separate criterion of just cause and in the criterion of proportionality proper. ‘Right intention’, the subjective element of the justification of a war, on the other hand, is not to be subsumed under the criterion of just cause: there can be a just cause without anybody knowing it. Conversely, however, the subjective element requires that those responsible for waging the war do know that the justifying objective conditions are fulfilled. This is in one sense more demanding than traditional just war theory; in another sense, however, it is less demanding: nobody needs to intend to fight for a ‘just aim’. (shrink)