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)

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)

Anerkennung soll die Leerstelle ausfüllen, die mit dem Zusammenbruch metaphysischer Systeme aufgetreten ist. Die Ethik sozialer Anerkennung wird damit aber mit Erwartungen überfrachtet. Durch technologische Veränderungen verändern sich permanent die Statusbestimmungen: Die Autonomie des Menschen konkurriert mit künstlich-intelligenten Maschinen, die Leidensfähigkeit mit der des Tieres, die Individualität mit der digitalen Selbstinszenierung und die Geschöpflichkeit mit der technologischen Selbstvergöttlichung. Die Beiträge suchen nach Bedingungen sozialer Anerkennung, die nicht zirkulär ausgehandelt werden können, sondern Kategorien einbringen, die auch von Menschen verwendet werden, wenn (...) sie von Gott sprechen. Damit soll die Basis einer theologischen Anerkennungstheorie gelegt werden. (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)

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)

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)

Certain instances of contraction are provable in Zardini’s system $\mathbf {IK}^\omega $ which causes triviality once a truth predicate and suitable fixed points are available.

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)

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)

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)

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)

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)

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)

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)

This paper first summarizes two central debates in the field of social scientific Internet research, namely the debate about the so-called ‘social impact of Internet use’ and the debate about the existence of community on the Internet. Early research discussed whether building up a community on the Internet was possible and what the effects of the use of the Internet were for its user. Recent research on the social consequences of Internet use suggests that ‘the’ Internet should no longer be (...) regarded as a constant that has uniform effects for its users. Rather, the consequences of its use depend on a number of contextual conditions. The paper presents some theories that explain which conditions and features of online groups facilitate the finding of solutions to bilateral or group-level problems of cooperation. (shrink)

This paper is part of an ongoing study that looks at the development of one component of a community network in a city in upstate New York. ‘Community networks’ refers to the use of computer networking technologies for the benefit of strengthening community goals and needs. The component studied is a youth database. In particular, this article looks at the early phases of this project: how the idea of the database emerged, how the technology was presented to the community, and (...) the community's response to this project. Theories guiding this paper include the social construction of technology theory and social worlds theory. (shrink)

Ontologically minimal truth law semantics are provided for various branches of formal logic (classical propositional logic, S5 modal propositional logic, intuitionistic propositional logic, classical elementary predicate logic, free logic, and elementary arithmetic). For all of them logical validity/truth is defined in an ontologically minimal way, that is, not via truth value assignments or interpretations. Semantical soundness and completeness are proved (in an ontologically minimal way) for a calculus of classical elementary predicate logic.

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)

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)

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)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do we need a new (...) account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (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)

Arguing against the doctrine of double effect, Bennett claims that the terror bomber only intends to make his victims appear dead. An obvious reply is that he intends to make them appear dead by killing them. I argue that the alleged refutations of this reply rest on a mistaken test question to determine what an agent intends, as Bennett's own test question confirms, and that Bennett is misled by confusing metaphorical death and literal death. Moreover, Bennett's argument is half-hearted anyway, (...) and going the whole way would not only undermine the DDE but also Quinn's revision of it. (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.

Herbrand disjunctions are a means for reducing the problem ofwhether a first-oder formula is valid in an open theory T or not to theproblem whether an open formula, one of the so called Herbrand disjunctions,is T -valid or not. Nevertheless, the set of Herbrand disjunctions, which hasto be examined, is undecidable in general. Fore this reason the practicalvalue of Herbrand disjunctions has been estimated negatively .Relying on completeness proofs which are based on the algebraizationtechnique presented in [30], but taking a (...) more optimistic view, we show howHerbrand disjunctions become the base of a method for building in theoriesinto automatic theorem provers [26]. Surveying newer results we discusshow to treat heterogeneous theories [29] as well as practical implications ofdifferent normal form transformations. (shrink)

A growing number of applications of automated reasoning exhibitsthe necessity of flexible deduction systems. A deduction system should beable to execute inference rules which are appropriate to the given problem.One way to achieve this behavior is the integration of different calculi. Thisled to so called hybrid reasoning [22, 1, 10, 20] which means the integrationof a general purpose foreground reasoner with a specialized background reasoner. A typical task of a background reasoner is to perform special purposeinference rules according to a (...) built-in theory. The aim of this paper is togo a step further, i.e. to treat the background reasoner as a hybrid systemitself. The paper formulates sufficient criteria for the construction of complete calculi which enable reasoning under hybrid theories combined fromsub-theories. For this purpose we use a generic approach described in [20].This more detailed view on built-in theories is not covered by the knowngeneral approaches [1, 3, 6, 20] for building in theories into theorem provers.The approach is demonstrated by its application to the target calculi of thealgebraic translation [9] of multi-modal and extended multi-modal [7] logicto first-order logic. (shrink)