In fünf Kapiteln thematisiert das Buch Kants Ethik im Ganzen, dabei werden die zentralen moralphilosophischen Schriften Kants als Einheit bzw. als eine sukzessive Fortentwicklung hin zu einer ›vollständigeren‹ Ethik aufgefasst, bei der der formale Kern schrittweise durch materiale Momente angereichert und erweitert wird. Erst dadurch ergibt sich ein adäquates Bild der kantischen Ethik. Der Ausdruck »im Ganzen« bezieht sich also zum einen auf die Gesamtheit der in den Blick genommenen Werke und zum anderen auf die ›Komplementarität‹ von formaler und materialer (...) Seite. Die schrittweise Erweiterung bzw. Anreicherung wird als Anwendung rekonstruiert, nämlich als eine Anwendung des kategorischen Imperativs auf den Menschen in ganz konkreten Zuständen und Umständen, sodass am Ende auch kasuistischen Überlegungen ein angemessener Raum gegeben wird. Dies ist ein Aspekt, der im ›überkommenen‹ Kant-Bild bislang zu wenig Beachtung gefunden hat. Durch diesen umfassenderen Blick auf Kants Ethik als Ganzes können immer wieder erhobene Einwände bzw. Vorwürfe (wie z. B. Unanwendbarkeit, Formalismus, Gesinnungsethik sowie Rigorismus) entschärft oder auch zurückgewiesen werden. (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)

Die sechzehn Beitrage stellen in vielen Schwerpunkten die rasante Entwicklung dar, die die Eurolinguistik seit der ersten Tagung 1997 genommen hat. Den Hintergrund bilden der Europa-Begriff und die Vorgeschichte der Eurolinguistik im 20.

abstract Can torture be morally justified? I shall criticise arguments that have been adduced against torture and demonstrate that torture can be justified more easily than most philosophers dealing with the question are prepared to admit. It can be justified not only in ticking nuclear bomb cases but also in less spectacular ticking bomb cases and even in the so‐called Dirty Harry cases. There is no morally relevant difference between self‐defensive killing of a culpable aggressor and torturing someone who is (...) culpable of a deadly threat that can be averted only by torturing him. Nevertheless, I shall argue that torture should not be institutionalised, for example by torture warrants. (shrink)

Three eminent scientists analyze the scientific, social, and political roots of biological determinism.

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)

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)

Animals today and tomorrow -- What makes an argument? -- Should animals be used in rodeo sports? -- Should animals be kept as pets? -- Should zoos and safari parks be banned?

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)

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)

Answer-set programming (ASP) has emerged as a declarative programming paradigm where problems are encoded as logic programs, such that the so-called answer sets of theses programs represent the solutions of the encoded problem. The efficiency of the latest ASP solvers reached a state that makes them applicable for problems of practical importance. Consequently, problems from many different areas, including diagnosis, data integration, and graph theory, have been successfully tackled via ASP. In this work, we present such ASP-encodings for problems associated (...) to abstract argumentation frameworks (AFs) and generalisations thereof. Our encodings are formulated as fixed queries, such that the input is the only part depending on the actual AF to process. We illustrate the functioning of this approach, which is underlying a new argumentation system called ASPARTIX in detail and show its adequacy in terms of computational complexity. (shrink)

I argue that the often-heard claim that all serious present-day political philosophers subscribe to the principle of equal respect and concern or to the doctrine of equal moral status or are in some other fundamental sense egalitarians is wrong. Also wrong is the further claim that the usual methods currently used in political philosophy presuppose basic equality. I further argue that liberal egalitarianism itself is wrong. There is no universal duty “of equal respect and concern” towards every person, for one (...) does not owe one’s nice sister and a serial rapist equal respect and concern. There is also no duty of the state to respect all citizens equally, for a state need not be equally concerned about murderous criminals on the one hand and their innocent victims on the other. The potential maneuver of saving liberal egalitarianism by claiming that people have equal rights is unsuccessful. Human beings clearly do not have equal rights, nor are they born with equal rights; and merely having an equality of some rights, for example of “basic” or human ones, would not suffice for egalitarianism. Appeals to “recognition respect” and related concepts are also to no avail. Trying to go back still a step further and to claim that certain rights inequalities or justified discriminatory rules are themselves “grounded” in equal respect and concern at some deeper, norm-generating level (like, for example, the original position or a discourse-ethical principle of justification) is also futile. Finally, I argue that the “This is not what we mean”-strategy of escaping the above arguments reduces egalitarianism to triviality and empty rhetoric. Liberal egalitarianism should be abandoned. (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)

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized (...) conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science. (shrink)

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

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

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

Many 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)

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 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)

Throughout the post-World War II decades, the United States has wrestled in its own unique style with a problem that is shared by all modern societies: how to achieve a reasonably equitable distribution of health care, without losing control of total spending on health care, and without suffocating the delivery system with controls and regulations that inhibit technical progress.Because an equitable distribution of health care inevitably requires at least some government regulation, and because government regulations tend to impose rigidity on (...) any system, it is widely believed in the United States that a trade-off actually exists between fairness in the distribution of care and the health system’s ability to innovate. This troublesome trade-off bedevils American policy makers to this day. (shrink)

Throughout the post-World War II decades, the United States has wrestled in its own unique style with a problem that is shared by all modern societies: how to achieve a reasonably equitable distribution of health care, without losing control of total spending on health care, and without suffocating the delivery system with controls and regulations that inhibit technical progress.Because an equitable distribution of health care inevitably requires at least some government regulation, and because government regulations tend to impose rigidity on (...) any system, it is widely believed in the United States that a trade-off actually exists between fairness in the distribution of care and the health system’s ability to innovate. This troublesome trade-off bedevils American policy makers to this day. (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.

This paper proposes a method for computing the temporal aspects of the interpretations of a variety of Germa sentences. The method is strictly modular in the sense that it allows each meaning-bearing sentence constituent to make its own, separate, contribution to the semantic representation of any sentence containing it. The semantic representation of a sentence is reached in several stages. First, an ‘initial semantic representation’ is constructed, using a syntactic analysis of the sentence as input. This initial representation is then (...) transformed into the definitive representation by a series of transformations which reflect the ways in which the contributions from different constituents of the sentence interact. Since the different constituents which make their respective contributions to the meaning of the sentence are in most instances ambiguous, the initial representations are typically of a high degree of underspecification. (shrink)

Why do we engage in folk psychology, that is, why do we think about and ascribe propositional attitudes such as beliefs, desires, intentions etc. to people? On the standard view, folk psychology is primarily for mindreading, for detecting mental states and explaining and/or predicting people’s behaviour in terms of them. In contrast, McGeer (1996, 2007, 2015), and Zawidzki (2008, 2013) maintain that folk psychology is not primarily for mindreading but for mindshaping, that is, for moulding people’s behavior and minds (e.g., (...) via the imposition of social norms) so that coordination becomes easier. Mindreading is derived from and only as effective as it is because of mindshaping, not vice versa. I critically assess McGeer’s, and Zawidzki’s proposal and contend that three common motivations for the mindshaping view do not provide sufficient support for their particular version of it. I argue furthermore that their proposal underestimates the role that epistemic processing plays for mindshaping. And I provide reasons for favouring an alternative according to which, in social cognition involving ascriptions of propositional attitudes, neither mindshaping nor mindreading is primary but both are complementary in that effective mindshaping depends as much on mindreading as effective mindreading depends on mindshaping. (shrink)

Many philosophers have claimed that the folk endorse moral universalism. Some have taken the folk view to support moral universalism; others have taken the folk view to reflect a deep confusion. And while some empirical evidence supports the claim that the folk endorse moral universalism, this work has uncovered intra-domain differences in folk judgments of moral universalism. In light of all this, our question is: why do the folk endorse moral universalism? Our hypothesis is that folk judgments of moral universalism (...) are generated in part by a desire to punish. We present evidence supporting this across three studies. On the basis of this, we argue for a debunking explanation of folk judgments of moral universalism. Our results not only further our understanding of the psychological processes underpinning folk judgments of moral universalism. They also bear on philosophical discussions of folk meta-ethics. (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)

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)

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)