Wann ist ein Krieg gerecht? Wer ist "unschuldig", und wer ist unter welchen Umstanden ein legitimes Angriffsziel? Und was bedeutet das fur die Beurteilung von Terrorismus? Diese und andere hochaktuelle Fragen behandelt Uwe Steinhoff in seiner kritischen und provokativen Analyse auch im Ruckgriff auf aktuelle Beispiele wie den Nahostkonflikt und den "Krieg gegen den Terror". Der Leser erhalt einen profunden und prazisen Uberblick uber die philosophische Debatte als unentbehrliches Rustzeug fur die eigene Urteilsfindung. "In seiner gewahlten Rolle als philosophe provocateur (...) prasentiert Steinhoff eine nachhaltige Position und untermauert sie mit enthusiastischen Kritiken konventioneller Ansichten und dem unerschrockenen Ausbuchstabieren der Logik der Alternativen. Insbesondere fur Philosophiestudenten wird dieses Buch eine nutzliche Provokation sein, und vieles von dem, was gesagt wird, verdient Zustimmung." "Dieses kraftvoll herausfordernde Buch wird zweifelsohne Kontroversen provozieren und die Debatte stimulieren.". (shrink)

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range (...) of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors. (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)

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)

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)

Mit der neuzeitlichen Säkularisierung verliert auch der Protestantismus seinen Volkskirchencharakter. Das hat eine Neuorientierung zur Folge. An die Stelledes theistischen Gottesbildes tritt das Paradox vom 'abwesenden' Gott. Der Autor interpretiert das Glaubensparadox als Widerfahrnis von Befreiung und Verpflichtung durch den Anderen in der 'Spur' Gottes. Er diskutiert diese für die Zivilgesellschaft relevanten Potentiale mit Feministischer Theologie, mit der Umgestaltung des Erlösungschristentums in einen Protestantismus der Versöhnung mit unserer Endlichkeit und der Schöpfungswelt. Vom methodischen Gesichtspunkt wählt der Autor einen phänomenologisch-dekonstruktiven Ansatz (...) im Gespräch mit Bonhoeffer, Nancy, Levinas und mit der protestantischen Tradition. (shrink)

Im vorliegenden Buch wird versucht, im Rahmen der allgemeinen Pädagogik aus philosophisch-pädagogischer Perspektive in Anwendung der historisch-kritischen und hermeneutisch-verstehenden Methode die ursprünglichen Lehren des Konfuzius und des So krates aus dem Konfuzianismus und aus dem Sokratismus annähernd herauszuarbeiten, um sie im Hinblick auf den Zusammenhang von Fremderziehung und Selbsterziehung des Menschen im Sinne einer Entwicklung zu befragen. Aus den Untersuchungen ergibt sich, daß die jeweiligen Inbegriffe der Lehren des Konfuzius und des Sokrates, die des "Lernens" und des "Philosophierens", als Selbsterziehung (...) des einzelnen Menschen bezeichnet werden können und daß die Selbsterziehung des einzelnen Menschen in beiden Lehren seine authentische Fremderziehung zur Voraussetzung hat. Das jeweilige Ziel der Lehren des Konfuzius und des Sokrates im Hinblick auf die Selbsterziehung des einzelnen Menschen im Sinne der Weiterentwicklung seiner authentischen Fremderziehung bzw. im Sinne seines selbständigen und selbstkritischen Lebensweges ist die Menschlichkeit (ren) und die Trefflichkeit (Arete). Kennzeichen der bewußten Lebensform der Selbsterziehung des einzelnen Menschen ist in beiden Lehren die Erfahrung innerer Freiheit und innerer Zufriedenheit, die dem einzelnen Menschen durch seine Selbsterziehung zuteil wird. (shrink)

Studies have shown that in the mammalian neuromuscular system stretch reflexes are localized within individual muscles. Neuromuscular compartmentalization, the partitioning of sensory output from muscles, and the partitioning of segmental pathways to motor nuclei have also been demonstrated. This evidence indicates that individual motor nuclei and the muscles they innervate are not homogeneous functional units. An analysis of the functional significance of reflex localization and partitioning suggests that segmental control mechanisms are based on subdivisions of motor nuclei–muscle complexes. A partitioned (...) organization of segmental control mechanisms could utilize (1) the potential functional diversity of muscle fiber types, (2) the variety of mechanical actions of individual muscles arising from their distributed origins and insertions, and (3) diverse architectural features such as intramuscular variations in pinnation and complex in-series and in-parallel arrangements of muscle fibers. The differentiated activity observed in some muscles during natural movements also calls for localized segmental control mechanisms. Partitioning may also play a role in mechanical interactions between contracting motor units and in increasing the stability of neuromuscular systems. The functional advantages of reflex localization and partitioning suggest they are probably common features of segmental systems, whose organization reflects the structure and function of their associated neuromuscular systems. (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)

Language- and music-readiness are demonstrated as related within comparative neuroprimatology by elaborating three hypotheses concerning music-readiness (MR): The (musicological) rhythm-first hypothesis (MR-1), the combinatoriality hypothesis (MR-2), and the socio-affect-cohesion hypothesis (MR-3). MR-1 states that rhythm precedes evolutionarily melody and tonality. MR-2 states that complex imitation and fractionation within the expanding spiral of the mirror system/complex imitation hypothesis (MS/CIH) lead to the combinatorial capacities of rhythm necessary for building up a musical lexicon and complex structures; and rhythm, in connection with repetition (...) and variation, scaffolds both musical form and content. MR-3 states that music’s main evolutionary function is to self-induce affective states in individuals to cope with distress; rhythm, in particular isochrony, provides a temporal framework to support movement synchronization, inducing shared affective states in group members, which in turn enhances group cohesion. This document reviews current behavioural and neurocognitive research relevant to the comparative neuroprimatology of music-readiness. It further proposes to extend MS/CIH through the evolution of the relationship of the language- and music-ready brain, by comparing “affective rhythm” and prosody – i.e. by comparatively approaching the language- and music-emotion link in neuroprimatology. (shrink)

Made-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based on the cognitive ...

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

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

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

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

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

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

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