Not only the direct physical experiences of deployment can severely harm soldiers’ mental health. Witnessing violations of their moral principles by the enemy, or by their fellow soldiers and superiors, can also have a devastating impact. It can cause soldiers’ moral disorientation, increasing feelings of shame, guilt, or hate, and the need for general answers on questions of right and wrong. Various attempts have been made to keep soldiers mentally sane. One is to provide convincing causes for their deployment, which (...) risks an “end justifies the means” way of thinking. The good cause can provide a moral justification for horrible atrocities. Another method, introduced in the USA, Canada, and Australia, aims to strengthen military personnel’s resistance by promoting and maintaining a happy, optimistic state of mind through the use of positive psychology. Alongside making soldiers “morally fit” for all kinds of situations, the focus could also be on moral recovery and forgiveness. Such a care-based military ethics approach, aimed at mutual understanding and interdependence, could help soldiers handle the emotional impact of moral conflicts. This demands that military units reflect on their organizational culture and rethink oaths and codes of conduct that focus mainly on efficiency and readiness, as well as the soldierly self-image with its seemingly still deeply rooted warrior ethos. Today, resilience and positive psychology in the military is apparently mainly geared to assuring its soldiers’ readiness. An appropriate set of virtues and understanding of virtue ethics that are less centered on self-perfection and autonomy could point to a different form of character-building and lead to a better understanding of others. (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)

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 relationship of part to whole is one of the most fundamental there is; this is the first and only full-length study of this concept. This book shows that mereology, the formal theory of part and whole, is essential to ontology. Peter Simons surveys and criticizes previous theories, especially the standard extensional view, and proposes a more adequate account which encompasses both temporal and modal considerations in detail. 'Parts could easily be the standard book on mereology for the next (...) twenty or thirty years.' Timothy Williamson, Grazer Philosophische Studien. (shrink)

Peter Ludlow shows how word meanings are much more dynamic than we might have supposed, and explores how they are modulated even during everyday conversation. The resulting view is radical, and has far-reaching consequences for our political and legal discourse, and for enduring puzzles in the foundations of semantics, epistemology, and logic.

A number of recent papers or monographs have examined Susan Stebbing’s criticisms of Arthur Eddington’s scientific-philosophical writing. These papers focus on Stebbing’s critique of Eddington’s attempt to infer philosophical conclusions from developments in modern physics, his view that there is a discrepancy between the world of science and the world of common sense (best encapsulated by his famous ‘two tables’ metaphor), and his use of “inexact language” to try and convey modern scientific insights to his readers. On November 10th, 1938, (...) Eddington presented a paper at the Moral Sciences Club in Cambridge entitled “Prof. Stebbing’s ‘Philosophy and the Physicists’.” Eddington did not go on to publish this paper and it is not discussed in relevant scholarship. However, the details of Eddington’s talk are outlined in the minutes of that meeting. I argue that these minutes provide new insights into both the Stebbing-Eddington debate and developments in Eddington's late philosophical views. A full transcription of the minutes are included as an Appendix to this paper. (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)

Governments standardly deploy a distinction between goods and services in assessing economic health and tracking national income statistics, of which medical goods and services carry significant importance. In what follows we draw on Basic Formal Ontology (BFO) to introduce a third kind of entity called patterns, which help capture the various ways in which goods and services are intertwined and help also to show how many services generate a new kind of non-goods-related products. Patterns are an overlooked yet essential features (...) of many economic sectors including medicine. Studying patterns offers new insights into various components of economic analysis, including outcomes-oriented evaluations of medical services and the value of human capital in the medical sphere. (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)

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)

In this paper, I provide the first in-depth discussion of Susan Stebbing’s views concerning our experience of the passage of time – a key issue for many metaphysicians writing in the first half of the twentieth century. I focus on Stebbing’s claims about the passage of time in Philosophy and the Physicists and her disagreement with Arthur Eddington over how best to account for that experience. I show that Stebbing’s concern is that any attempt to provide a scientific account of (...) the passage of time will face problems, since the events described by physics are necessarily measured against the passage of time. I then identify views elsewhere in her philosophical corpus that can help shed light on this claim. Ultimately, I argue, Stebbing’s views on time should be construed as part of her wider commitment to ‘realism’. To be a realist, for Stebbing, is to accept a set of propositions which are a pre-requisite for even beginning to analyse the world around us. For Stebbing, I argue, part of what it means to be a realist is to accept our experience of the passage of time as something fundamental that cannot itself be subject to analysis. (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)

Sometimes, scientific models are either intended to or plausibly interpreted as representing nonactual but possible targets. Call this “hypothetical modeling”. This paper raises two epistemological challenges concerning hypothetical modeling. To begin with, I observe that given common philosophical assumptions about the scope of objective possibility, hypothetical models are fallible with respect to what is objectively possible. There is thus a need to distinguish between accurate and inaccurate hypothetical modeling. The first epistemological challenge is that no account of the epistemology of (...) hypothetical models seems to cohere with the most characteristic function of scientific modeling in general, i.e., surrogative representation. The second epistemological challenge is a version of “reliability challenges” familiar from other areas. There is a challenge to explain how hypothetical models could be a reliable guide to what is possible, given that they are not and cannot be compared against their nonactual targets and updated accordingly. I close with some brief remarks on possible solutions to these challenges. (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)

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)

In 1992, Peter Ochs and a few Christian and Muslim colleagues began to gather small groups, in and outside the classroom, to practice close and attentive reading of the sacred Scriptures of the Jewish, Muslim, and Christian traditions. The hope was that members of different religions could hear one another through the patient, respectful reading of each other's Scripture. Hearing each other, participants might enter into interreligious relationships that might point a way to the peaceful engagement of religions--especially those (...) who, after September 11, 2001, too often found themselves at each other's throats. It was a hope for religion without violence. In Religion without Violence, Ochs reflects on the practical and philosophic lessons he has learned from hosting hundreds of Scriptural Reasoning engagements. He introduces the "scriptural pragmatism" of Scriptural Reasoning." He painstakingly recounts instances of successful scriptural reasoning and warns where and how it might fail. He provides guidance on how to introduce and facilitate Scriptural Reasoning in the classroom. He shows how reading out of the "hearth" of a faith can contribute to peace building across religions. And, drawing on the resources of rabbinic tradition, Augustine, and Charles Peirce, he moves beyond practice to reflect on the implications of Scriptural Reasoning for discerning what kinds of "reasoning" best address and help repair societal crises like religion-related violent conflict. (shrink)

In her last known piece of work Lady Mary Shepherd’s Metaphysics (1832), Mary Shepherd writes that “mind, may inhere in definite portions of matter […] or of infinite space” (LMSM 699). Shepherd thus suggests that a mind – a “capacity for sensation in general” (e.g., EPEU 16) – may have a spatial location. This is prima facie surprising given that she is committed to the view that the mind is unextended. In this paper, we argue that Shepherd can consistently honor (...) both of these commitments. We argue, first, that even though finite minds, due to their unextendedness cannot, to use Shepherd’s term, ‘occupy’ space as material bodies do, such minds can nonetheless be said to have a spatial location in virtue of what we call their presence, or what Shepherd calls ‘inherence’, in a material body. Second, we argue that, in a similar way, the divine mind is present throughout the whole of space and is thus omnipresent. We then argue that, in contrast to finite minds, the divine mind does not require a body to be present in space. Rather, we contend, God’s omnipresence might be best understood in a ‘holenmerist’ sense, where the divine mind is wholly present in every part of creation. (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)

You don't say much about who you are teaching, or what subject you teach, but you do seem to see a need to justify what you are doing. Perhaps you're teaching underprivileged children, opening their minds to possibilities that might otherwise never have occurred to them. Or maybe you're teaching the children of affluent families and opening their eyes to the big moral issues they will face in life — like global poverty, and climate change. If you're doing something like (...) this, then stick with it. Giving money isn't the only way to make a difference. (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)

War is almost always conducted with various restrictions in the form of rules, rituals, and taboos. Many of the norms that regulate warfare can be found in the tradition of just war. This tradition seeks to provide a middle ground between an unrealistic (at least for politicians) pacifism that does not even allow war in self-defence and a too realistic realism that claims there is no place for ethics in war. The tradition of just war does not have the force (...) of law; it provides, above all, a vocabulary to discuss war in moral terms. At the same time, the tradition does have an impact: it forms the basis of humanitarian law and the Geneva Conventions. Just like with laws, it is recognised here that imperfect adherence to these principles does not necessarily diminish their validity. Most proponents of the tradition believe that the principles of just war, even though some date back centuries, are sufficiently general to be applicable to contemporary conflicts, such as the Russo-Ukrainian War. If we apply the norms of the just war tradition to the current situation in Ukraine, we see that Russia is waging an unjust war in an unjust manner. (shrink)

This book explores the idea that all of logic can be reduced to two very simple rules that are sensitive to logical polarity. The authors show that this idea has profound consequences for our understanding of the nature of human inferential capacities, and for some of the key issues in contemporary linguistics.

William Molyneux was born in Dublin, studied in Trinity College Dublin, and was a founding member of the Dublin Philosophical Society (DPS), Ireland’s counterpart to the Royal Society in London. He was a central figure in the Irish intellectual milieu during the Early Modern period and – along with George Berkeley and Edmund Burke – is one of the best-known thinkers to have come out of that context and out of Irish thought more generally. In 1688, when Molyneux wrote the (...) letter to Locke in which he posed the now famous question about a man born blind made to see, he was an active member of the DPS and was on familiar terms with several other key figures in Irish philosophy at the time. For the most part, Irish thinkers in the seventeenth and eighteenth centuries answered “no” to Molyneux’s question of whether a blind man made to see could distinguish, by sight alone, between a cube and a sphere. (shrink)

All contributions included in the present issue were originally prepared for an “Author Meets Critics” session organized by Carl Sachs for the Eastern Division Meeting of the American Philosophical Association in Savannah, Georgia, on 5th January, 2018.

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)

Background: Emergentism as an ontology of consciousness leaves unanswered the question as to its mechanism. Aim: I aim to solve the Body-Mind problem by explaining how conscious organisms emerged on an evolutionary basis at various times in accordance with an accepted scientific principle, through a mechanism that cannot be understood, in principle. Proposal: The reason for this cloak of secrecy is found in a seeming contradiction in the behaviour of information with respect to the first two laws of thermodynamics. Information, (...) the microstate of particles within an isolated system’s macrostate, can, like first law energy, be neither created nor destroyed, yet the information in the system, like second law entropy, will inevitably increase. To explain information increasing without being created, Laplace’s demon is invoked, able to predict where each particle is destined. This doesn’t work for emerging events like consciousness, which are unpredictable. This can be understood in terms of the derivation of entropy, and the emergence of classical physics, from the Relativistic Transactional Interpretation of Quantum Mechanics. I propose that the increased entropy in a time-irreversible, unpredictable (emergent) isolated system requires the simultaneous deletion of information concerning the steps, or calculations, involved. Conclusion: Thus, the steps leading to consciousness are immediately destroyed and must remain a mystery. Implications include that entropy, not panpsychism, is the Universal principle generative of consciousness, that our being conscious proves that we are not predetermined, and that consciousness requires assuming an “entropy debt” that can only be repaid by living organisms, prohibiting the emergence of conscious machines. (shrink)

Throughout her philosophical writing, Margaret Cavendish is clear in stating that colours are real; they are not mere mind-dependent qualities that exist only in the mind of perceivers. This puts her at odds with other seventeenthcentury thinkers such as Galileo and Descartes who endorsed what would come to be known as the ‘primary-secondary quality distinction’. Cavendish’s argument for this view is premised on two claims. First, that colourless objects are inconceivable. Second, that if an object is inconceivable then it could (...) not possibly exist in nature. My aim in this paper is to explain why Cavendish accepts both premises of this argument. However, the repercussions of this paper go much further than just explaining why she thinks colourless objects cannot exist in nature and the upshots are twofold. First, it provides new insights into the fundamental role that perception plays in Cavendish’s metaphysics. While Cavendish’s view that all of nature perceives is well-established, I show that Cavendish is also committed to the view that all of nature is perceivable. Second, it provides the first in-depth discussion of Cavendish’s modal epistemology and her reasons for thinking that inconceivability entails impossibility (in nature). (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)

In this paper, we focus on Berkeley's reasons for accepting the ‘resemblance thesis’ which entails that for one thing to represent another those two things must resemble one another. The resemblance thesis is a crucial premise in Berkeley's argument from the ‘likeness principle’ in §8 of the Principles. Yet, like the ‘likeness principle’, the resemblance thesis remains unargued for and is never explicitly defended. This has led several commentators to provide explanations as to why Berkeley accepts the resemblance thesis and (...) why he also takes his opponents to do so too. We provide a contextual answer to this question, focusing on epistemological discussions concerning resemblance and representation in Early Modern Irish Philosophy. We argue that the resemblance thesis is implicit in early responses to William Molyneux's famous example of the ‘man born blind made to see’ and trace the ‘Molyneux man’ thought experiment as it is employed by Irish thinkers such as William King and Berkeley himself. Ultimately, we conclude that Berkeley's acceptance of the resemblance thesis can be explained by the Irish intellectual climate in which he was writing. (shrink)

This paper examines a promising probabilistic theory of singular causation developed by David Lewis. I argue that Lewis' theory must be made more sophisticated to deal with certain counterexamples involving pre-emption. These counterexamples appear to show that in the usual case singular causation requires an unbroken causal process to link cause with effect. I propose a new probabilistic account of singular causation, within the framework developed by Lewis, which captures this intuition.

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)

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)

Berkeley’s likeness principle is the claim that “an idea can be like nothing but an idea”. The likeness principle is intended to undermine representationalism: the view (that Berkeley attributes to thinkers like Descartes and Locke) that all human knowledge is mediated by ideas in the mind which represent material objects. Yet, Berkeley appears to leave the likeness principle unargued for. This has led to several attempts to explain why Berkeley accepts it. In contrast to ‘metaphysical’ and ‘epistemological’ interpretations available in (...) the literature, in this paper I defend a ‘conceptual’ interpretation. I argue that Berkeley accepts the likeness principle on the basis of (i) his commitment to the transparency of ideas, and (ii) his account of resemblance which he sets out in his works on vision. Thus, I provide an explanation for Berkeley’s reasons for accepting the likeness principle which, appropriately, focuses on his views concerning ideas and likeness. (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)

According to the Acceptance Principle, a person is entitled to accept a proposition that is presented as true (asserted) and that is intelligible to him or her, unless there are stronger reasons not to. Burge assumes this Principle and then argues that it has an apriori justification, basis or rationale. This paper expounds Burge's teleological reliability framework and the details of his a priori justification for the Principle. It then raises three significant doubts.

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)

Why does classical equilibrium statistical mechanics work? Malament and Zabell (1980) noticed that, for ergodic dynamical systems, the unique absolutely continuous invariant probability measure is the microcanonical. Earman and Rédei (1996) replied that systems of interest are very probably not ergodic, so that absolutely continuous invariant probability measures very distant from the microcanonical exist. In response I define the generalized properties of epsilon-ergodicity and epsilon-continuity, I review computational evidence indicating that systems of interest are epsilon-ergodic, I adapt Malament and Zabell’s (...) defense of absolute continuity to support epsilon-continuity, and I prove that, for epsilon-ergodic systems, every epsilon-continuous invariant probability measure is very close to the microcanonical. (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)

[Newspaper Opinion] Before the COVID-19 pandemic and the accompanying fall in oil prices, a carbon price would have been immediately painful for the countries that imposed it, but far better for everyone over the longer term. In this unprecedented moment, introducing a carbon price would be beneficial both now and for the future.

What rights and duties do adults have with respect to raising children? Who, for example, has the right to decide how and where a particular child will live, be educated, receive health care, and spend recreational time? I argue that neither biological (gene-provider) nor..

The origin and absurdity of the Religious Right's Culture Wars and why they should call them off.

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)

Similarly to other accounts of disease, Christopher Boorse’s Biostatistical Theory (BST) is generally presented and considered as conceptual analysis, that is, as making claims about the meaning of currently used concepts. But conceptual analysis has been convincingly critiqued as relying on problematic assumptions about the existence, meaning, and use of concepts. Because of these problems, accounts of disease and health should be evaluated not as claims about current meaning, I argue, but instead as proposals about how to define and use (...) these terms in the future, a methodology suggested by Quine and Carnap. I begin this article by describing problems with conceptual analysis and advantages of “philosophical explication,” my favored approach. I then describe two attacks on the BST that also question the entire project of defining “disease.” Finally, I defend the BST as a philosophical explication by showing how it could define useful terms for medical science and ethics. (shrink)

The concept of agent-responsibility for an outcome (that is, of the outcome reflecting the autonomous choice of the agent) is central to both ethics and political philosophy. The concept, however, remains radically under-explored. In particular, the issue of partial responsibility for an outcome needs further development. I propose an account of partial responsibility based on partial causal contribution. Agents who choose autonomously in full knowledge of the consequences are agent-responsible, I claim, for the shift in the objective probability of the (...) outcome in question that her choice induces. Thus, agents will typically be only partially agent-responsible (that is, for a shift of less than 100 percent) for any given outcome. The model has an implication that is generally rejected: that agents who purchase lottery tickets and win are agent-responsible for only part of the winnings. (shrink)

This is the full version of the Delphi Report on critical thinking and critical thinking instruction at the post-secondary level.

Margaret Macdonald was at the institutional heart of analytic philosophy in Britain in the mid-twentieth century. However, her views on the nature of philosophical theories diverge quite considerably from those of many of her contemporaries. In this article, I focus on Macdonald’s provocative 1953 paper, “Linguistic Philosophy and Perception,” in which she argues that the value of philosophical theories is more akin to that of poetry or art than science or mathematics. I do so for two reasons. First, it reveals (...) just how far Macdonald’s metaphilosophical views diverged from those of many of her contemporaries. Second, the discussion in her article preempts recent literature on the nature of philosophical inquiry and the efficacy of philosophical arguments. Indeed, Macdonald’s paper is just as likely to provoke discussion today as it was in the 1950s. (shrink)