In his “Bridging mainstream and formal ontology”, Augusto (2021) gives an excellent analysis of Dietrich von Freiberg’s idea of using causality as a partitioning principle for upper ontologies. For this Dietrich’s notion of extrinsic principles is crucial. The question whether causation can and indeed should be used as a partitioning principle for ontologies is discussed using mathematics and physics as examples.

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal (...) evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...) and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

The view of nature we adopt in the natural attitude is determined by common sense, without which we could not survive. Classical physics is modelled on this common-sense view of nature, and uses mathematics to formalise our natural understanding of the causes and effects we observe in time and space when we select subsystems of nature for modelling. But in modern physics, we do not go beyond the realm of common sense by augmenting our knowledge of what is going on (...) in nature. Rather, we have measurements that we do not understand, so we know nothing about the ontology of what we measure. We help ourselves by using entities from mathematics, which we fully understand ontologically. But we have no ontology of the reality of modern physics; we have only what we can assert mathematically. In this paper, we describe the ontology of classical and modern physics against this background and show how it relates to the ontology of common sense and of mathematics. (shrink)

Barry Smith recently discussed the diagraphs of book eight of Jacob Lorhard’s Ogdoas scholastica under the heading “birth of ontology” (Smith, 2022; this issue). Here, I highlight the commonalities between the original usage of diagraphs in the tradition of Ramus for didactic purposes and the the usage of their present-day successors–modern ontologies–for computational purposes. The modern ideas of ontology and of the universal computer were born just two generations apart in the breakthrough century of instrumental reason.

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even (...) to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, Søgaard has argued in his "Understanding models understanding language" (2022) for a thesis of this sort. His idea is that (1) where there is semantics there is also understanding and (2) machines are not only capable of what he calls `inferential semantics', but even that they can (with the help of inputs from sensors) `learn' referential semantics. We show that he goes wrong because he pays insufficient (...) attention to the difference between language as used by humans and the sequences of inert symbols which arise when language is stored on hard drives or in books in libraries. (shrink)

Sam Harris is a contemporary illustration of the difficulties standing in the way of coherent interdisciplinary thinking in an age where science and the humanities have drifted so far apart. We are here with Harris’s views on AI, and specifically with his view according to which, with the advance of AI, there will evolve a machine superintelligence with powers that far exceed those of the human mind. This he sees as something that is not merely possible, but rather a matter (...) of inevitability. If, however, we look carefully at what intelligence is, and at how computers really work on the basis of mathematical models, then we can see that it is forever impossible to emulate inside a computer even the intelligence of crows or rabbits, let alone that of human beings. (shrink)

Transcript of an Interview on the podcast: Irreverend: Faith and Current Affairs.

Online controlled experiments, also known as A/B tests, have become ubiquitous. While many practical challenges in running experiments at scale have been thoroughly discussed, the ethical dimension of A/B testing has been neglected. This article fills this gap in the literature by introducing a new, soft ethics and governance framework that explicitly recognizes how the rise of an experimentation culture in industry settings brings not only unprecedented opportunities to businesses but also significant responsibilities. More precisely, the article (a) introduces a (...) set of principles to encourage ethical and responsible experimentation to protect users, customers, and society; (b) argues that ensuring compliance with the proposed principles is a complex challenge unlikely to be addressed by resorting to a one-solution response; (c) discusses the relevance and effectiveness of several mechanisms and policies in educating, governing, and incentivizing companies conducting online controlled experiments; and (d) offers a list of prompting questions specifically designed to help and empower practitioners by stimulating specific ethical deliberations and facilitating coordination among different groups of stakeholders. (shrink)

Das in diesem Aufsatz vorgebrachte Argumentationsmuster hat folgende Schritte: 1. Der menschliche Geist ist vom Körper nicht trennbar, sie bilden ein Kontinuum. 2. Unser Bewusstsein und alle darauf aufbauenden geistigen Phänomene sind die Emanation eines materiellen Prozesses, den ein komplexes System verursacht. 3. Komplexe Systeme lassen sich mathematisch nicht modellieren und nicht kausal verstehen. 4. Computer sind Turing-Maschinen. Sie können nur mathematische Modelle berechnen. Es wird niemals Hyper-Turing Maschinen geben, und wenn es sie gäbe, könnten sie auch nur mathematische Modelle (...) berechnen. 5. Es ist nicht möglich, den Körper als Substrat des Geistes durch einen Computer zu ersetzen. Die digitale Unsterblichkeit ist demzufolge ein Ding der Unmöglichkeit. (shrink)

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

In this paper, we propose a regularity theory of causation. The theory aims to be reductive and to align with our pre‐theoretic understanding of the causal relation. We show that our theory can account for a wide range of causal scenarios, including isomorphic scenarios, omissions, and scenarios which suggest that causation is not transitive.

Health Level 7 (HL7) is an international standards development organisation in the domain of healthcare information technology. Initially the mission of HL7 was to enable data exchange via the creation of syntactic standards which supported point-to-point messaging. Currently HL7 sees its mission as one of creating standards for semantic interoperability in healthcare IT on the basis of its flagship “version 3” (v3). Unfortunately, v3 has been plagued by quality and consistency issues, and it has not been able to keep pace (...) with recent developments either in semantics and ontology or in computer science and engineering. HL7’s response has been to develop its “Services-Aware Interoperability Framework” (SAIF), which is intended to provide a foundation for work on all aspects of standardization in HL7 henceforth. We here summarise the major design principles that must be satisfied by a semantic interoperability framework – principles relating both to static semantics and to computational behaviour. We then assess the SAIF in light of these principles. We conclude that the SAIF is not in a position to support the needed reform of the HL7 v3 family of standards. (shrink)

The impact of large digital corporations on our freedom is often lamented but rarely investigated systematically. This paper aims to fill this desideratum by focusing on the power of social media corporations and the freedom of their users. In order to analyze this relationship, I distinguish two forms of freedom and two corresponding forms of power. Social media corporations extend their users’ freedom of choice by providing many new options. This provision, however, comes with the domination by these corporations because (...) it is based on their power of uncontrolled interference. Users could escape this domination through exit. One reason why they do not choose this option is that they would lose the benefits associated with the network effects provided by social media services. A second reason is that the power of social media corporations runs so deep that they are able to manipulate the autonomous decision-making processes of their users. Users are provided with many new avenues for authentic self-presentation on social media. By using them, however, users need to conform to a web interface that is designed by corporations to undermine self-control. Through these two mechanisms, corporations are able to promote an interest in users to present themselves on their platforms. Insofar as this works, they secure the users’ compliance to their domination through subjectivation. This double conjunction of choice and domination, on the one hand, and autonomy and subjectivation, on the other, makes the case that the very power of corporate social media stems from their intrinsic connection to genuine practices of freedom. (shrink)

We aim to devise a Ramsey test analysis of actual causation. Our method is to define a strengthened Ramsey test for causal models. Unlike the accounts of Halpern and Pearl ([2005]) and Halpern ([2015]), the resulting analysis deals satisfactorily with both over- determination and conjunctive scenarios.

Sartre’s account of the emotions presupposes a conception of human nature that is never fully articulated. The paper aims to render such conception explicit and to argue that frustration occupies a foundational place in Sartre’s picture of affective existence.

Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and personas, may lead (...) to mismatches between designers' intentions and users' perceptions of social attributes, risking to promote emotional manipulation and dangerous behaviors, cases of epistemic injustice, and unwarranted trust. To address these issues, we propose enhancing the ST framework with a fifth 'W-question' to clarify the specific social attributions assigned to LLMs by its designers and users. This addition aims to bridge the gap between LLM capabilities and user perceptions, promoting the ethically responsible development and use of LLM-based technology. (shrink)

Als Philosoph steht Schleiermacher noch immer im Schatten seiner Zeitgenossen und auch seiner theologischen Werke. Das Buch will seinen eigenständigen Beitrag zur Klassischen Deutschen Philosophie sichtbar machen. Gefragt wird, worin das philosophische Gravitationszentrum der einschlägigen Texte, Entwürfe und Vorlesungen Schleiermachers besteht, mit welchen theoretischen Mitteln er dabei operiert und welche Stellung er in der philosophischen Bewegung seiner Zeit einnimmt. Als zentral erweist sich der Individualitätsgedanke, der aus einer eigenständigen, kritischen Aneignung Kants und Spinozas resultiert. Mit dieser Konzeption begegnet Schleiermacher Friedrich (...) Schlegel auf Augenhöhe und leistet einen eigenständigen Beitrag zur frühromantischen Philosophie, deren grundlegende Positionen er in seinen philosophischen Vorlesungen in Halle (1804-1806) und Berlin (seit 1808) kritisch durcharbeitet und systematisiert. Dies bringt Schleiermacher, wie schon den frühen Friedrich Schlegel, trotz aller gravierenden Unterschiede vielfach in die Nähe Hegels, so dass sich sein Verhältnis zu den philosophischen Zeitgenossen höchst komplex gestaltet. Schleiermacher erweist sich als eigenständiger Denker auf dem gemeinsamen Boden der Klassischen Deutschen Philosophie. (shrink)

In this paper, we analyse actual causation in terms of production. The latter concept is made precise by a strengthened Ramsey Test semantics of conditionals: \ iff, after suspending judgement about A and C, C is believed in the course of assuming A. This test allows us to verify or falsify that an event brings about another event. Complementing the concept of production by a weak condition of difference-making gives rise to a full-fledged analysis of causation.

This chapter contains section titled: Introduction:the European Union and the Law of Peoples The Argument of Law of Peoples Standards and Grounds for International Stability Human Rights in Federations The Argument of Law of Peoples for Inter‐people Inequality Distributive Justice in Federations Federal and Global Implications Toleration and Stability Reconsidered Acknowledgments Notes.

Der Band bietet einen systematischen Überblick über das Verhältnis von Literatur und Philosophie. Philosophische, literarische und literaturwissenschaftliche Ansätze kommen gleichberechtigt zu Wort. Die Beiträge loten die Bedeutung von Literatur aus und präsentieren gattungstheoretische Überlegungen zu literarischen Formen der Philosophie. Studien über philosophierende Literatur und philosophische Reflexionen über Literatur beschließen den Band.

A new and comprehensive look at the reasons behind successful or failed nation building Nation Building presents bold new answers to an age-old question. Why is national integration achieved in some diverse countries, while others are destabilized by political inequality between ethnic groups, contentious politics, or even separatism and ethnic war? Traversing centuries and continents from early nineteenth-century Europe and Asia to Africa from the turn of the twenty-first century to today, Andreas Wimmer delves into the slow-moving forces that encourage (...) political alliances to stretch across ethnic divides and build national unity. Using datasets that cover the entire world and three pairs of case studies, Wimmer's theory of nation building focuses on slow-moving, generational processes: the spread of civil society organizations, linguistic assimilation, and the states' capacity to provide public goods. Wimmer contrasts Switzerland and Belgium to demonstrate how the early development of voluntary organizations enhanced nation building; he examines Botswana and Somalia to illustrate how providing public goods can bring diverse political constituencies together; and he shows that the differences between China and Russia indicate how a shared linguistic space may help build political alliances across ethnic boundaries. Wimmer then reveals, based on the statistical analysis of large-scale datasets, that these mechanisms are at work around the world and explain nation building better than competing arguments such as democratic governance or colonial legacies. He also shows that when political alliances crosscut ethnic divides and when most ethnic communities are represented at the highest levels of government, the general populace will identify with the nation and its symbols, further deepening national political integration. Offering a long-term historical perspective and global outlook, Nation Building sheds important new light on the challenges of political integration in diverse countries. (shrink)

A growing number of consumer technology companies are aiming to convince older people that humanoid robots make helpful tools to support aging-in-place. As hybrid devices, socially assistive robots (SARs) are situated between health monitoring tools, familiar digital assistants, security aids, and more advanced AI-powered devices. Consequently, they implicate older people’s privacy in complex ways. Such devices are marketed to perform functions common to smart speakers (e.g., Amazon Echo) and smart home platforms (e.g., Google Home), while other functions are more specific (...) to older people, including health and safety monitoring and serving as companions to mitigate loneliness. Privacy is a key value central to debates about the ethics of using SARs in aged care, yet there has been very little interchange between these debates and the robust theoretical discussion in the legal literature about the future of privacy and AI governance. Drawing on two qualitative studies of older people’s views on consumer SARs, the paper contributes novel findings about older people’s thinking on privacy and data governance at the intersection of their experiences with present day digital technologies and projections for future AI systems, and places their views in dialogue with debates about the future of privacy protection and AI governance. (shrink)

Powers, capacities and dispositions (in what follows I will use these terms synonymously) have become prominent in recent debates in metaphysics, philosophy of science and other areas of philosophy. In this paper I will analyse in some detail a well-known argument from scientific practice to the existence of powers/capacities/dispositions. According to this argument the practice of extrapolating scientific knowledge from one kind of situation to a different kind of situation requires a specific interpretation of laws of nature, namely as attributing (...) dispositions to systems. My main interest will be to discuss what characteristics these dispositions need to have in order to account for the scientific practice in question. I will furthermore assess whether the introduction of dispositions in the context of the extrapolation argument can be described as a ‘revitalization’ or as a ‘return’ to those notions repudiated by early modern philosophers. More particularly I will argue for the following claims: I. In repudiating scholastic terminology, including substantial forms with their causal powers, post-cartesian philosophers focussed on a concept of causation that was much stronger than 21st century conceptions of causation. For this reason alone, whatever ‘causal’ is supposed to mean in today’s causal powers, embracing causal powers is not a simple return to a pre-cartesian notion. II. The dispositions presupposed in scientific practice need not (and should not) be construed in causal terms (whether strong or weak). III. While some early modern philosophers contrasted the characterisation of the natural world in terms of substantial forms (and their causal powers) on the one hand and a mathematical characterization on the other and suggested that these approaches are incompatible, the dispositions postulated by the extrapolation argument to account for scientific practice are themselves characterized in mathematical terms. More precisely: The behaviour the systems are disposed to display is – at least in physics – often characterized in mathematical terms. IV. The dispositions assumed in the law-statements in scientific practice are determinable rather than determinate properties. (shrink)

Affirmative action is standardly pursued in relation to admissions to prestigious universities, in hiring for prestigious jobs, and when it comes to being elected to parliament. Central to these forms of affirmative action is that they have to do with competitive goods. A good is competitive when, if we improve A’s chances of getting the good, we reduce B’s chances of obtaining the good. I call this Competitive Affirmative Action. I distinguish this from Non-competitive Affirmative Action. The latter has to (...) do with non-competitive goods, e.g., being granted early parole or freedom from arbitrary arrest. I argue that some of the most prominent objections against affirmative action—in particular, the reverse discrimination objection and the merit objection—speak less against Non-competitive Affirmative Action. And that some of the most prominent arguments in favor of affirmative action, insofar as they justify Competitive Affirmative Action, also justify Non-competitive Affirmative Action. (shrink)

Call it the Skynet hypothesis, Artificial General Intelligence, or the advent of the Singularity — for years, AI experts and non-experts alike have fretted (and, for a small group, celebrated) the idea that artificial intelligence may one day become smarter than humans. -/- According to the theory, advances in AI — specifically of the machine learning type that’s able to take on new information and rewrite its code accordingly — will eventually catch up with the wetware of the biological brain. (...) In this interpretation of events, every AI advance from Jeopardy-winning IBM machines to the massive AI language model GPT-3 is taking humanity one step closer to an existential threat. We’re literally building our soon-to-be-sentient successors. -/- Except that it will never happen. At least, according to the authors of the new book Why Machines Will Never Rule the World: Artificial Intelligence without Fear. (shrink)

We put forth an analysis of causation. The analysis centers on the notion of a causal model that provides only partial information as to which events occur, but complete information about the dependences between the events. The basic idea is this: an event causes another just in case there is a causal model that is uninformative on both events and in which the first event makes a difference as to the occurrence of the other. We show that our analysis captures (...) more causal scenarios than the other counterfactual accounts to date. (shrink)

The well-known formal semantics of conditionals due to Stalnaker Studies in logical theory, Blackwell, Oxford, 1968), Lewis, and Gärdenfors The logic and 1140 epistemology of scientific change, North-Holland, Amsterdam, 1978, Knowledge in flux, MIT Press, Cambridge, 1988) all fail to distinguish between trivially and nontrivially true indicative conditionals. This problem has been addressed by Rott :345–370, 1986) in terms of a strengthened Ramsey Test. In this paper, we refine Rott’s strengthened Ramsey Test and the corresponding analysis of explanatory relations. We (...) show that our final analysis captures the presumed asymmetry between explanans and explanandum much better than Rott’s original analysis. (shrink)

Edmund Husserl is regarded as the founder of transcendental phenomenology, one of the major traditions to emerge in twentieth-century philosophy. In this book Andrea Staiti unearths and examines the deep theoretical links between Husserl's phenomenology and the philosophical debates of his time, showing how his thought developed in response to the conflicting demands of Neo-Kantianism and life-philosophy. Drawing on the work of thinkers including Heinrich Rickert, Wilhelm Dilthey and Georg Simmel, as well as Husserl's writings on the natural and (...) human sciences that are not available in English translation, Staiti illuminates a crucial chapter in the history of twentieth-century philosophy and enriches our understanding of Husserl's thought. His book will interest scholars and students of Husserl, phenomenology, and twentieth-century philosophy more generally. (shrink)

This chapter contains sections titled: Introduction Nihilism Skepticism Nihilism and Skepticism.

We argue that there are three coherent, nontrivial notions of basic-ness: conceptual basic-ness, biological basic-ness, and psychological basic-ness. There is considerable evidence for conceptually basic emotion categories (e.g., “anger,” “fear”). These categories do not designate biologically basic emotions, but some forms of anger, fear, and so on that are biologically basic in a sense we will specify. Finally, two notions of psychological basic-ness are distinguished, and the evidence for them is evaluated. The framework we offer acknowledges the force of some (...) of the objections to basic emotion theory whilst demonstrating that the notion of a basic emotion, once properly reformulated, is still of scientific value. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

This paper offers a theory of spatial indexicals like _here_ and _there_ on which such expressions are variables associated with presuppositional constraints on their values. I show how this view handles both referential and bound uses of these indexicals, and I propose an account of what counts as the location of the context on a given occasion. The latter is seen to explain a wide range of facts about what the spatial indexicals can refer to.

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

We define a formal semantics of conditionals based on _normatively ideal worlds_. Such worlds are described informally by Armgardt (Gabbay D, Magnani L, Park W, Pietarinen A-V (eds) Natural arguments: a tribute to john woods, College Publications, London, pp 699–708, 2018) to address well-known problems of the counterfactual approach to causation. Drawing on Armgardt’s proposal, we use iterated conditionals in order to analyse causal relations in scenarios of multi-agent interaction. This results in a refined counterfactual approach to causal responsibility in (...) legal contexts, which solves overdetermination problems in an intuitively accessible manner. (shrink)

El fenómeno originario de la pertenencia explicita uno de los problemas fundamentales de la tradición filosófica continental: la relación cuerpo-mundo. Dicha relación se ha construido tradicionalmente a partir de la propia mismidad del sujeto (Yo) o de su corporalidad, afirmando que es porque tengo un cuerpo que puedo decir que pertenezco a un mundo. Ante esta problemática se alza una fenomenología de la pertenencia propuesta por R. Barbaras, la cual expresa la necesidad de re-pensar la concepción de la subjetividad, así (...) como la necesidad de una inversión en la relación cuerpo-mundo a partir de la pertenencia al mundo del propio sujeto. Ahí es donde aparece el verdadero sentido y alcance ontológico de la experiencia del cuerpo puesto que tener un cuerpo no significa otra cosa más que pertenecer y la aparición sólo podrá darse desde dentro del mundo, a partir de nuestra inscripción en él. Así, la ecología corporal constituirá un ejemplo específico que muestra el alcance de dicha inversión y explicitará el parentesco ontológico entre el cuerpo y el mundo. (shrink)

Epistemische Tugenden sind Eigenschaften des forschenden Subjekts, die in wissenschaftlichen Kulturen als Bedingung fur die Produktion, Vermittlung oder den Erwerb von Wissen angesehen werden. Sie lassen sich nicht auf ein abstraktes Sollen reduzieren, wie es oft von Ethikkommissionen oder politischen Bewegungen an die Wissenschaft herangetragen wird. Die methodische Erzeugung von Wissen ware kaum moglich, wenn es nicht erkenntnisfordernde Tugenden wie Geduld, Aufmerksamkeit, Genauigkeit, Intuition, Wahrhaftigkeit, Neugierde, Strenge oder Zuverlassigkeit gabe, die den an sich prekaren Erkenntnisprozess stabilisieren und in eine bestimmte (...) Richtung lenken. Die Beitrage dieses Sammelbandes befassen sich mit epistemischen Tugenden aus (wissenschafts-)historischer, philosophischer, medien- und literaturwissenschaftlicher Perspektive. Ein Schwerpunkt liegt dabei auf dem Verhaltnis von wissenschaftlichen und soziokulturellen beziehungsweise moralischen Normen. Mit Beitragen von: Lorraine Daston, Martin Doll, Andreas Gelhard, Raymond Geuss, Ruben Hackler, Michael Hagner, Jens Kertscher, Markus Krajewski, Marcel Lepper, Martin Mulsow, Oliver Nievergelt, Tanja Paulitz, Robert Proctor, Katja Sabisch, Sandro Zanetti, Cornelia Zumbusch. (shrink)

This book reconsiders the major current topics in the philosophy of perception using olfaction as the paradigm sense. The author reveals how many of the most basic concepts of philosophy of perception are based on peculiarities of visual perception not found in other modalities, and addresses how different the philosophy of perception would be if based on olfaction. The book addresses several aspects of olfaction, including perceptual qualities, percepts, olfaction and cognitive processes, and consciousness. The first part of the book (...) considers perception with respect to its ability to guide behaviors and to make information available to cognitive processes. The author continues by addressing the differences between conscious and non-conscious olfactory perception, and presents an argument for an important role of attention in conscious processes. The book concludes by discussing the function of conscious brain processes and their link to guiding behaviors in complex situations. (shrink)

This article discusses Du Châtelet’s challenging claim that entertaining illusions, especially illusions of being esteemed by posterity, is conducive to happiness. It does so by taking a contextualizing approach, contrasting her views with some Epicurean aspects of the views on illusions and happiness in Bernard de Fontenelle and Julien Offray de La Mettrie. I will argue for three claims: (1) Du Châtelet’s comparison between self-related illusions and illusions in the theater is vulnerable to objections deriving from some distinctions that Fontenelle’s (...) poetics draws between the role of illusions in the theater and the role of illusions in real life. (2) Examining Fontenelle’s analysis of the detrimental effects of self-related illusions indicates several respects in which Du Châtelet has underestimated the ambivalent nature of illusions. (3) Du Châtelet’s view that illusions are akin to sensations that are favorable to us problematically generalizes La Mettrie’s insight that some acts of the imagination have a quasi-perceptual nature. (shrink)