Analyzing the Arabic translation of Aristotle's Rhetoric and situating it in its historical and intellectual context, this book offers a fresh interpretation of the early Greek-Arabic translation movement and its impact in Islamic culture and beyond.

unayn discussing the quality of his source text, his own interpretation and also his attempts to reconstruct problematic or damaged passages. Based on an edition of these notes, their analysis and comparison to similar texts and Galen's own thought on editing and interpreting difficult medical texts, this article aims to situate Ḥunayn's methods in the context of the Greek-Arabic translation movement. It argues that his approach differs in important respects from that of preceding Greek-Arabic and Greek-Syriac translators and that he (...) was indebted to Galen not just as a physician, but also as a translator and exegete. (shrink)

The reception history of Aristotle's Prior Analytics in the Islamic world began even before its ninth-century translation into Arabic. Three generations earlier, Arabic authors already absorbed echoes of the varied and extensive logical teaching tradition of Greek- and Syriac-speaking religious communities in the new Islamic state. Once translated into Arabic, the Prior Analytics inspired a rich tradition of logical studies, culminating in the creation of an independent Islamic logical tradition by Ibn Sina (d. 1037), Ibn Rušd (d. 1098) and others. (...) This article traces the translation and commentary tradition of the Prior Analytics in Syriac and Arabic in the sixth to ninth centuries and sketches its appropriation, revision and, ultimately, transformation by Islamic philosophers between the ninth and eleventh centuries. (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)

Der protestantische Theologe Karl Girgensohn (1875–1925) ist 1903 mit seinem frühen Werk über das Wesen der Religion an die Öffentlichkeit getreten, welches einen starken religionsphilosophischen Standpunkt zum Ausdruck bringt. Kernüberlegung ist hierbei eine kognitive Theorie des Religiösen, in der die Gottesidee zentral ist. Unter Berücksichtigung der Biographie Girgensohns geht der vorliegende Beitrag auf diese frühe Studie zum Wesen der Religion ein und skizziert den Übergang des Autors von einem philosophischen zu einem experimentell-introspektiven Ansatz der Religiositätsforschung, welcher dann zum Fundament für (...) die Dorpater religionspsychologische Schule wurde. Basierend auf Girgensohns frühem Werk werden abschließend Implikationen für die heutige empirische Theologie vorgeschlagen.The Protestant theologian Karl Girgensohn (1875–1925) came to the public in 1903 with his early work on the nature of religion, which expresses a strong religious-philosophical standpoint. The core consideration here is a cognitive theory of the religious, in which the idea of God is central. Taking into account Girgensohn’s biography, the present contribution addresses this early study on the nature of religion and outlines the author’s transition from a philosophical to an experimental-introspective approach to religious research, which then became the foundation for the Dorpat School of the psychology of religion. Based on Girgensohn’s early work, implications for contemporary empirical theology are finally proposed. (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)

Following the studies of Araujo et al. (AI Soc 35:611–623, 2020) and Lee (Big Data Soc 5:1–16, 2018), this empirical study uses two scenario-based online experiments. The sample consists of 221 subjects from Germany, differing in both age and gender. The original studies are not replicated one-to-one. New scenarios are constructed as realistically as possible and focused on everyday work situations. They are based on the AI acceptance model of Scheuer (Grundlagen intelligenter KI-Assistenten und deren vertrauensvolle Nutzung. Springer, Wiesbaden, 2020) (...) and are extended by individual descriptive elements of AI systems in comparison to the original studies. The first online experiment examines decisions made by artificial intelligence with varying degrees of impact. In the high-impact scenario, applicants are automatically selected for a job and immediately received an employment contract. In the low-impact scenario, three applicants are automatically invited for another interview. In addition, the relationship between age and risk perception is investigated. The second online experiment tests subjects’ perceived trust in decisions made by artificial intelligence, either semi-automatically through the assistance of human experts or fully automatically in comparison. Two task types are distinguished. The task type that requires “human skills”—represented as a performance evaluation situation—and the task type that requires “mechanical skills”—represented as a work distribution situation. In addition, the extent of negative emotions in automated decisions is investigated. The results are related to the findings of Araujo et al. (AI Soc 35:611–623, 2020) and Lee (Big Data Soc 5:1–16, 2018). Implications for further research activities and practical relevance are discussed. (shrink)

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

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)

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)

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)

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 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)

This book offers a philosophical analysis of the moral and legal justifications for the use of force. While the book focuses on the ethics self-defense, it also explores its relation to lesser evil justifications, public authority, the justification of punishment, and the ethics of war. Steinhoff’s account of the moral use of force covers a wide range of topics, including the nature of justification in general, the precise elements of different justifications, the logic of claim- and liberty-rights and of rights (...) forfeiture, the value of human life and its limits, and the principles of reciprocity and precaution. While the author’s analysis is primarily philosophical, it is informed by a metaethical stance that also places heavy emphasis on existing law and legal scholarship. In doing so, the book appeals to widely shared moral intuitions, precepts, and concepts grounded in criminal law. Self-Defense, Necessity, and Punishment offers the most comprehensive and systematic account of the ethics of self-defense. It will be of interest to scholars and graduate students working in applied ethics and moral philosophy, philosophy of law, and political philosophy. (shrink)

Axiomatic Formal Ontology is a fairly comprehensive systematic treatise on general metaphysics. The axiomatic method is applied throughout the book. Its main theme is the construction of a general non-set-theoretical theory of intensional entities. Other important matters discussed are the metaphysics of modality, the nature of actual existence, mereology and the taxonomy of entities.

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)

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)

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)

The short version of the Bielefeld Partnership Expectations Questionnaire assesses the partner-related attachment dimensions fear of rejection, readiness for self-disclosure, and conscious need for care. The presented study investigated the factor structure in two samples and evaluated the convergent validity of scales. The sample included N = 175 patients with panic disorder and/or agoraphobia and N = 143 healthy controls. Besides, the BPEQ, the Experiences in Close Relationships Questionnaire, and the Brief Symptom Inventory were assessed as well, and the Adult (...) Attachment Prototype Rating was conducted. A confirmatory factor analysis of the three factor model revealed an acceptable model fit for the entire sample, patients and controls in terms of low RMSEA and SRMR. We found metric, scalar, and strict measurement invariance for the presence of anxiety disorder. However, only for fear of rejection and readiness for self-disclosure the reliability was acceptable, and convergent validity in terms of large correlations with the ECR scales was found in both samples. The scale conscious need for care had a questionable reliability and correlated only slightly with ECR-R scales. We conclude that fear of rejection and readiness for self-disclosure of the BPEQ-12 are reliable and valid scales for measuring partner-related attachment in healthy and clinical samples. (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)

This book provides a thorough critical overview of the current debate on the ethics of war, as well as a modern just war theory that can give practical action-guidance by recognizing and explaining the moral force of widely accepted law. Traditionalist, Walzerian, and "revisionist" approaches have dominated contemporary debates about the classical jus ad bellum and jus in bello requirements in just war theory. In this book, Uwe Steinhoff corrects widely spread misinterpretations of these competing views and spells out the (...) implications for the ethics of war. His approach is unique in that it complements the usual analysis in terms of self-defense with an emphasis on the importance of other justifications that are often lumped together under the heading of "lesser evil." It also draws on criminal law and legal scholarship, which has been largely ignored by just war theorists. Ultimately, Steinhoff rejects arguments in favor of "moral fundamentalism"-- the view that the laws and customs of war must simply follow an immutable morality. In contrast, he argues that widely accepted laws and conventions of war are partly constitutive of the moral rules that apply in a conflict. The Ethics of War and the Force of Law will be of interest to scholars and advanced students working in just war theory, applied ethics, political philosophy, political theory, philosophy of law, and criminal and military law. (shrink)

This treatise delves into the construction and formalization of a precise theory to encapsulate a pivotal facet of Thomas Aquinas’s ontology. In particular, it focuses on the development of a formal language that is adequate for formulating Aquinas’s understanding of the simultaneous nature of divinity as both an object of subsistence and a universal, individual, and actuating form—a concept evocative of the original Platonic sense of form. The presented axiomatized theory as a medium for expounding the ontological principles enunciated by (...) Thomas Aquinas. A comprehensive set of axioms is systematically justified, exhibiting their congruence with Aquinas’s ontological doctrines. To elucidate this harmony, an extensive series of theorems is deduced, closely aligned with the verbal tenets of Aquinas’s teachings. The inherent consistency of the axiom system is proven by the provision of a geometrico-topological model tailored to support it. (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)

Many authors writing about global justice seem to take national responsibility more or less for granted. Most of them, however, offer very little argument for their position. One of the few exceptions is David Miller. He offers two models of collective responsibility: the like-minded group model and the cooperative practice model. While some authors have criticized whether these two models are applicable to nations, as Miller intends, my criticism is more radical: I argue that these two models fail as accounts (...) of collective responsibility as such. This result should not surprise us (liberals): there simply is no such thing as collective responsibility (in a strict sense), there is only individual responsibility. Thus individuals are not automatically responsible for the actions of their groups, nations or states, not even if they do not actively dissociate themselves from those actions. (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)

Der Beitrag diskutiert Möglichkeiten emotionalen Lernens in einzelfallbezogenen Lernarrangements wie etwa klinische Ethikberatungen und Workshops, die mit Einzelfällen arbeiten. Es wird ein didaktisches Rahmenkonzept entwickelt, das vor allem auf die Ermöglichung emotionalen Lernens abzielt. Dabei werden entsprechende Lernziele formuliert, emotionale Themen in diesen Lernarrangements benannt und Methoden dargestellt, wie Erwachsenenbildner diese emotionalen Themen so bearbeiten können, dass ein emotionales Lernen ermöglicht wird. Dabei wird auch ein konzeptueller Rahmen für diese Lernarrangements benannt, der von einem deliberativen Ethikverständnis ausgeht. Emotionales Lernen als (...) Förderung der Sozial- und Selbstkompetenz wird dabei als eine Schlüsselqualifikation verstanden, die gegen die Fach- und Methodenkompetenz abgegrenzt wird. (shrink)

Das Handbuch Kritische Theorie beleuchtet aus ganz unterschiedlicher Perspektive, was Kritische Theorie heute bedeuten kann. Das Handbuch reklamiert, trotz seines Umfangs, keine eindeutige oder definitorische Antwort auf die Frage, was Kritische Theorie heute ist oder zu sein hat. Die Programmatiken Kritischer Theorie sind in den letzten 85 Jahren weder konstant geblieben noch lässt sich Kritische Theorie auf die Interpretation eines Kanons von Texten festlegen. Gleichwohl sind Kritische Theorie und die Bezugnahmen auf sie nicht beliebig, sondern, so die Überzeugung der Herausgeber*in, (...) bei allen Auseinandersetzungen um die richtige Interpretation und institutionelle Praxis, mehr als eine „bloße Metapher“. Im Zentrum steht nach wie vor die Diskrepanz zwischen dem Ausmaß an real vorhandenen und in gesellschaftliche Institutionen gegossenen Herrschaftsverhältnissen einerseits und den Möglichkeiten der Verringerung von Herrschaft von Menschen über sich, über andere und über Natur andererseits. In diesem Grundverständnis sind sich – bei aller Heterogenität – die im Handbuch versammelten Beiträge und Beitragenden einig. (shrink)

Working with the example of the jar and other, wandering and deceitful objects of literary history, this paper tries to translate the reciprocal presupposition of openness and closure to a configuration of theory of action, figuration and narration. It thus deals with the question, how literarily open objects act. According to Luhmann and Latour, action can be connected to concepts of description: Be it that communication is reduced to action and only thus attributable to an agent, or that symbolic reference, (...) attribution and recording account for significant strands in human and non-human contexts of action. Drawing upon selected examples from literary history, the paper pursuits such translations of narration into action and vice versa. (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)

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 present-day political and moral philosophy the idea that all persons are in some way moral equals is an almost universal premise, with its defenders often claiming that philosophical positions that reject the principle of equal respect and concern do not deserve to be taken seriously. This has led to relatively few attempts to clarify, or indeed justify, 'basic equality' and the principle of equal respect and concern. Such clarification and justification, however, would be direly needed. After all, the ideas, (...) for instance, that Adolf Hitler and Nelson Mandela have equal moral worth, or that a rape victim owes equal respect and concern to both her rapist and to her own caring brother, seem to be utterly implausible. Thus, if someone insists on the truth of such ideas, he or she owes his or her audience an explanation. The authors in this volume - which breaks new ground by engaging egalitarians and anti-egalitarians in a genuine dialogue - attempt to shed light into the dark. They try to clarify the concepts of "basic equality", "equal moral worth","equal respect and concern", "dignity," etc; and they try to justify-or to refute-the resulting clarified doctrines. The volume thus demonstrates that the claim that all persons have equal moral worth, are owed equal concern and respect, or have the same rights is anything but obvious. This finding has not only significant philosophical but also political implications. (shrink)

‘No-platforming’—the practice of denying someone the opportunity to express their opinion at certain venues because of the perceived abhorrent or misguided nature of their view—is a hot topic. Several philosophers have advanced epistemic reasons for using the policy in certain cases. Here we introduce epistemic considerations against no-platforming that are relevant for the reflection on the cases at issue. We then contend that three recent epistemic arguments in favor of no-platforming fail to factor these considerations in and, as a result, (...) offer neither a conclusive justification nor strong epistemic support for no-platforming in any of the relevant cases. Moreover, we argue that, taken together, our epistemic considerations against no-platforming and the three arguments for the policy suggest that no-platforming poses an epistemic dilemma. While advocates and opponents of no-platforming alike have so far overlooked this dilemma, it should be addressed not only to prevent that actual no-platforming decisions create more epistemic harm than good, but also to put us into a better position to justify the policy when it is indeed warranted. (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 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)

In this book Uwe Steinhoff describes and explains the basic tenets of just war theory and gives a precise, succinct and highly critical account of its present status and of the most important and controversial current debates surrounding it. Rejecting certain in effect medieval assumptions of traditional just war theory and advancing a liberal outlook, Steinhoff argues that every single individual is a legitimate authority and has under certain circumstances the right to declare war on others or the state. He (...) also argues that the just cause cannot be established independently of the other criteria of jus ad bellum (the justification of entering a war), except for right intention, which he interprets more leniently than the tradition does. Turning to jus in bello (which governs the conduct of a war) he criticizes the Doctrine of Double Effect and concludes that insofar as wars kill innocents, and be it as "collateral damage", they cannot be just but at best justified as the lesser evil. Steinhoff gives particular attention to the question why soldiers, allegedly, are legitimate targets and civilians not. Discussing four approaches to the explanation of the difference he argues that the four principles underlying them all need to be taken into account and outlines how their weighing can proceed if applied to concrete cases. The resulting approach does not square the distinction between legitimate and illegitimate targets with the distinction between soldiers and civilians, which has extremely important consequences for the conduct of war. Finally, Steinhoff analyses the concept of terrorism and argues that some forms of "terrorism" are actually not terrorism at all and that even terrorism proper can under certain circumstances be justified. (shrink)

I argue in this paper that traditional just war theory did allow private, indeed even individual war, and that arguments in support of a legitimate authority criterion, let alone in support of the “priority” of this criterion, fail. I further argue that what motivates the insistence on “legitimate authority” is the assumption that doing away with this criterion will lead to chaos and anarchy. I demonstrate that the reasoning, if any, underlying this assumption is philosophically profoundly confused. The fact of (...) the matter is that wars need not necessarily be authorized by some higher authority (such as a king, president, or parliament) in order to be justified, and this moral fact does not need to chaos and anarchy. Accordingly, the criterion of legitimate authority cannot be relied on to delegitimate individual war, private war, guerrilla war, or even terrorism. Finally, I consider some other defenses of authorization and demonstrate that the “authorization” these accounts defend is either not needed for justification or already provided by other just war criteria or, indeed, entirely fictitious. (shrink)

This paper is not so much concerned with the question under which circumstances self-defense is justified, but rather with other normative features of self-defense as well as with the source of the self-defense justification. I will argue that the aggressor’s rights-forfeiture alone – and hence the liberty-right of the defender to defend himself – cannot explain the intuitively obvious fact that a prohibition on self-defense would wrong victims of attack. This can only be explained by conceiving of self-defense also as (...) a claim-right. However, I will also argue that a claim-right cannot ground the self-defense justification either. Rather, what grounds the self-defense justification and its particular strength and scope is the fact that self-defense is an act-specific agent-relative prerogative: a defender is allowed to give particularly grave weight to his interest in engaging in self-defense, which distinguishes self-defense from most other acts. This is not the same as saying that he has a right or a liberty to engage in self-defense. Thus, self-defense, understood as a normative concept, is a claim-right, a liberty-right, and an act-specific agent-relative prerogative. (shrink)