One challenge in providing an adequate definition of physical disability is unifying the heterogeneous bodily conditions that count as disabilities. We examine recent proposals by Elizabeth Barnes (2016), and Dana Howard and Sean Aas (2018), and show how this debate has reached an impasse. Barnes’ account struggles to deliver principled unification of the category of disability, whilst Howard and Aas’ account risks inappropriately sidelining the body. We argue that this impasse can be broken using a novel concept: marginalised functioning. Marginalised (...) functioning concerns the relationship between a person’s bodily capacities and their social world: specifically, their ability to function in line with the default norms about how people can typically physically function that influence the structuring of social space. We argue that attending to marginalised functioning allows us to develop, not one, but three different models of disability, all of which—whilst having different strengths and weaknesses—unify the category of disability without sidelining the body. (shrink)

This paper proposes a distinctive kind of agency that can vindicate the agency of members of marginalised groups while accommodating the autonomy-undermining influences of oppression. Socially-embedded agency—the locus of which is in the exercise of our ability to negotiate between different social features—is compatible with, and can explain, various phenomena, including double-consciousness and white fragility. Moreover, although socially-embedded agency is neither necessary nor sufficient for autonomy, exercising it is practically necessary for autonomy, at least for members of marginalised groups in (...) our non-ideal world. (shrink)

Some people of colour feel shame in response to racist incidents. This phenomenon seems puzzling since, plausibly, they have nothing to feel shame about. This puzzle arises because we assume that targets of racism feel shame about their race. However, I propose that when an individual is racialised as non-White in a racist incident, shame is sometimes prompted, not by a negative self-assessment of her race, but by her inability to choose when her stigmatised race is made salient. I argue (...) that this can make sense of some shame responses to racism. My account also helps to highlight some of the emotional and cognitive costs of racism that have their root in shame as well as a new form of hermeneutical injustice and distinctive communicative harms, contributing to a fuller picture of what is objectionable about racism. (shrink)

Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. Which (...) levels of explicability are needed to obtain informed consent when utilizing medical AI? Arguments We proceed in five steps: First, we map the terms commonly associated with explicability as described in the ethics and computer science literature, i.e., disclosure, intelligibility, interpretability, and explainability. Second, we conduct a conceptual analysis of the ethical requirements for explicability when it comes to informed consent. Third, we distinguish hurdles for explicability in terms of epistemic and explanatory opacity. Fourth, this then allows to conclude the level of explicability physicians must reach and what patients can expect. In a final step, we show how the identified levels of explicability can technically be met from the perspective of computer science. Throughout our work, we take diagnostic AI systems in radiology as an example. Conclusion We determined four levels of explicability that need to be distinguished for ethically defensible informed consent processes and showed how developers of medical AI can technically meet these requirements. (shrink)

In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...) the technological inability to directly test the theory. The appropriate response, according to Dawid, is to acknowledge this development and widen the canons of acceptable scientific methods. As I’ll argue, however, the current situation in fundamental physics does not require either of these responses. Rather, as I’ll suggest, much of the controversy stems from a failure to properly distinguish the “context of justification” from the “context of pursuit”. Both those who accuse string theorists of betraying the scientific method and those who advocate an enlarged conception of scientific methodology objectionably conflate epistemic justification with judgements of pursuit-worthiness. Once we get clear about this distinction and about the different norms governing the two contexts, the current situation in fundamental physics becomes much less puzzling. After defending this diagnosis of the controversy, I’ll show how the argument patterns that have been posited by Dawid as constituting an emergent methodological revolution in science are better off if reworked as arguments belonging to the context of pursuit. (shrink)

Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of general ethical (...) frameworks to clinical decision-making entails conceptual questions: Is explicability a free-standing principle? Is it already covered by the well-established four bioethical principles? Or is it an independent value that needs to be recognized as such in medical practice? We discuss these questions in a conceptual-ethical analysis, which builds upon the findings of an empirical document analysis. On the example of the medical specialty of radiology, we analyze the position of radiological associations on the ethical use of medical AI. We address three questions: Are there references to explicability or a similar concept? What are the reasons for such inclusion? Which ethical concepts are referred to? (shrink)

Bernard Williams’ Shame and Necessity (1993) was an influential early contribution to what has become a broader movement to rehabilitate shame as a moral emotion. But there is a tension in Williams’ discussion that presents an under-appreciated difficulty for efforts to rehabilitate shame. The tension arises between what Williams takes shame in its essence to be and what shame can do—the role that shame can be expected to play in ethical life. Williams can—and we argue, should—be read as avoiding the (...) difficulties stemming from this tension, but this requires a reevaluation of several of his central claims about shame’s role in ethical thought and experience. For instance, his broad claims that the “structures of shame” can “give a conception of one’s ethical identity” (93), and that shame “mediates … between ethical demands and the rest of life” (102), cannot be taken at face value. What emerges is a view that is in a sense less ambitious, but also more in tune with the spirit of Williams’ larger project. There may also, we suggest, be a more general lesson: We should be suspicious of the temptation to seek some special affinity between shame and ethical life, lest we distort our understanding of both. (shrink)

Philosophy &Public Affairs, Volume 46, Issue 4, Page 363-383, Fall 2018.

Some properties are causally relevant for a certain effect, others are not. In this paper we describe a problem for our understanding of this notion and then offer a solution in terms of the notion of a program explanation.

Philosophical Issues, Volume 31, Issue 1, Page 355-373, October 2021.

Here, I consider the recent application of phylogenetic methods in historical linguistics. After a preliminary survey of one such method, i.e. cladistic parsimony, I respond to two common criticisms of cultural phylogenies: that cultural artifacts cannot be modeled as tree-like because of borrowing across lineages, and that the mechanism of cultural change differs radically from that of biological evolution. I argue that while perhaps remains true for certain cultural artifacts, the nature of language may be such as to side-step this (...) objection. Moreover, I explore the possibility that cladistic parsimony can be justified even if is true by appealing to the inference pattern known among philosophers as ‘Inference to the Best Explanation’. (shrink)

In this paper, I consider the relationship between Inference to the Best Explanation and Bayesianism, both of which are well-known accounts of the nature of scientific inference. In Sect. 2, I give a brief overview of Bayesianism and IBE. In Sect. 3, I argue that IBE in its most prominently defended forms is difficult to reconcile with Bayesianism because not all of the items that feature on popular lists of “explanatory virtues”—by means of which IBE ranks competing explanations—have confirmational import. (...) Rather, some of the items that feature on these lists are “informational virtues”—properties that do not make a hypothesis \ more probable than some competitor \ given evidence E, but that, roughly-speaking, give that hypothesis greater informative content. In Sect. 4, I consider as a response to my argument a recent version of compatibilism which argues that IBE can provide further normative constraints on the objectively correct probability function. I argue that this response does not succeed, owing to the difficulty of defending with any generality such further normative constraints. Lastly, in Sect. 5, I propose that IBE should be regarded, not as a theory of scientific inference, but rather as a theory of when we ought to “accept” H, where the acceptability of H is fixed by the goals of science and concerns whether H is worthy of commitment as research program. In this way, IBE and Bayesianism, as I will show, can be made compatible, and thus the Bayesian and the proponent of IBE can be friends. (shrink)

In this article, I will provide a critical overview of the form of non-deductive reasoning commonly known as “Inference to the Best Explanation” (IBE). Roughly speaking, according to IBE, we ought to infer the hypothesis that provides the best explanation of our evidence. In section 2, I survey some contemporary formulations of IBE and highlight some of its putative applications. In section 3, I distinguish IBE from C.S. Peirce’s notion of abduction. After underlining some of the essential elements of IBE, (...) the rest of the entry is organized around an examination of various problems that IBE confronts, along with some extant attempts to address these problems. In section 4, I consider the question of when a fact requires an explanation, since presumably IBE applies only in cases where some explanation is called for. In section 5, I consider the difficult question of how we ought to understand IBE in light of the fact that among philosophers, there is significant disagreement about what constitutes an explanation. In section 6, I consider different strategies for justifying the truth-conduciveness of the explanatory virtues, e.g., simplicity, unification, scope, etc., criteria which play an indispensable role in any given application of IBE. In section 7, I survey some of the most recent literature on IBE, much of which consists of investigations of the status of IBE from the standpoint of the Bayesian philosophy of science. (shrink)

Mark David Webster ABSTRACT: Using qualitative methods, the author sought to better understand how philosophical assumptions about technology affect the thinking, and influence the decision making, of educational technology leaders in their professional practice. One of the research questions focused on examining whether assumptions of technological determinism were present in thinking and influenced the decisions that leaders make. The core category that emerged from data analysis, Keep up with technology (or be left behind), was interpreted to be a manifestation (...) of the technological imperative, an assumption associated with the philosophical perspective of technological determinism. The article presents a literature review and critique of philosophical issues surrounding technological determinism. Data analysis led to the conclusion that technology leaders working in K-12 education place weighted priority on the technological imperative, and there is philosophical tension between Keep up with technology (or be left behind), and a concurrently held perspective based on the logic of the instrumental view of technology. The findings suggest that different accounts of technological determinism, including Bimber’s three accounts of normative, nomological, and unintended consequences, are significant in the thinking of participants. School technology leaders placed priority on embracing technological change, sometimes adopting technology for its own sake. (shrink)

In this paper, I critically evaluate several related, provocative claims made by proponents of data-intensive science and “Big Data” which bear on scientific methodology, especially the claim that scientists will soon no longer have any use for familiar concepts like causation and explanation. After introducing the issue, in Section 2, I elaborate on the alleged changes to scientific method that feature prominently in discussions of Big Data. In Section 3, I argue that these methodological claims are in tension with a (...) prominent account of scientific method, often called “Inference to the Best Explanation”. Later on, in Section 3, I consider an argument against IBE that will be congenial to proponents of Big Data, namely, the argument due to Roche and Sober Analysis, 73:659–668, that “explanatoriness is evidentially irrelevant.” This argument is based on Bayesianism, one of the most prominent general accounts of theory-confirmation. In Section 4, I consider some extant responses to this argument, especially that of Climenhaga Philosophy of Science, 84:359–368,. In Section 5, I argue that Roche and Sober’s argument does not show that explanatory reasoning is dispensable. In Section 6, I argue that there is good reason to think explanatory reasoning will continue to prove indispensable in scientific practice. Drawing on Cicero’s oft-neglected De Divinatione, I formulate what I call the “Ciceronian Causal-nomological Requirement”, which states, roughly, that causal-nomological knowledge is essential for relying on correlations in predictive inference. I defend a version of the CCR by appealing to the challenge of “spurious correlations,” chance correlations which we should not rely upon for predictive inference. In Section 7, I offer some concluding remarks. (shrink)

The paper is written in response to those who fail to recognize the relation between a patient's mental competency and her state of pain. Some clinicians claim that a proper diagnosis can only be made in the absent of analgesia. Rather, the patient's state of pain directly affects her mental competency and thus her ability to give valid consent. Clinicians should rethink their approach to diagnosis when the patient is in pain.

A qualitative study using grounded theory methods was conducted to (a) examine what philosophy of technology assumptions are present in the thinking of K-12 technology leaders, (b) investigate how the assumptions may influence technology decision making, and (c) explore whether technological determinist assumptions are present. Subjects involved technology directors and instructional technology specialists from school districts, and data collection involved interviews and a written questionnaire. Three broad philosophy of technology views were widely held by participants, including an instrumental view of (...) technology, technological optimism, and a technological determinist perspective that sees technological change as inevitable. Technology leaders were guided by two main approaches to technology decision making in cognitive dissonance with each other, represented by the categories Educational goals and curriculum should drive technology, and Keep up with Technology (or be left behind). The researcher concluded that as leaders deal with their perceived experience of the inevitability of technological change, and their concern for preparing students for a technological future, the core category Keep up with technology (or be left behind) is given the greater weight in technology decision making. A risk is that this can on occasion mean a quickness to adopt technology for the sake of technology, without aligning the technology implementation with educational goals. (shrink)

We develop a Bayesian framework for thinking about the way evidence about the here and now can bear on hypotheses about the qualitative character of the world as a whole, including hypotheses according to which the total population of the world is infinite. We show how this framework makes sense of the practice cosmologists have recently adopted in their reasoning about such hypotheses.

In this article, I consider an important challenge to the popular theory of scientific inference commonly known as ‘inference to the best explanation’, one that has received scant attention.1 1 The problem is that there exists a wide array of rival models of explanation, thus leaving IBE objectionably indeterminate. First, I briefly introduce IBE. Then, I motivate the problem and offer three potential solutions, the most plausible of which is to adopt a kind of pluralism about the rival models of (...) explanation. However, I argue that how ranking explanations on this pluralistic account of IBE remains obscure and pluralism leads to contradictory results. In light of these objections, I attempt to dissolve the problem by showing why IBE does not require a ‘model’ of explanation and by giving an account of what explanation consists in within the context of IBE. (shrink)

In this paper, I examine Cicero’s oft-neglected De Divinatione, a dialogue investigating the legitimacy of the practice of divination. First, I offer a novel analysis of the main arguments for divination given by Quintus, highlighting the fact that he employs two logically distinct argument forms. Next, I turn to the first of the main arguments against divination given by Marcus. Here I show, with the help of modern probabilistic tools, that Marcus’ skeptical response is far from the decisive, proto-naturalistic assault (...) on superstition that it is sometimes portrayed to be. Then, I offer an extended analysis of the second of the main arguments against divination given by Marcus. Inspired by Marcus’ second main argument, I formulate, explicate, and defend a substantive principle of scientific methodology that I call the “Ciceronian Causal-Nomological Requirement” (CCR). Roughly, this principle states that causal knowledge is essential for relying on correlations in predictive inference. Although I go on to argue that Marcus’ application of the CCR in his debate with Quintus is dialectically inadequate, I conclude that De Divinatione deserves its place in Cicero’s philosophical corpus, and that ultimately, its significance for the history and philosophy of science ought to be recognized. (shrink)

In the last two decades, a robust consensus has emerged among philosophers of science, whereby political, ethical, or social values must play some role in scientific inquiry, and that the ‘value-free ideal’ is thus a misguided conception of science. However, the question of how to distinguish, in a principled way, which values may legitimately influence science remains. This question, which has been dubbed the ‘new demarcation problem,’ has until recently received comparatively less attention from philosophers of science. In this paper, (...) I appeal to Rawls’s theory of justice (1971) on the basis of which I defend a Rawlsian solution to the new demarcation problem. As I argue, the Rawlsian solution places plausible constraints on which values ought to influence scientific inquiry, and, moreover, can be fruitfully applied to concrete cases to determine how the conflicting interests of stakeholders should be balanced. After considering and responding to the objection that Rawls’s theory of justice applies only to the “basic structure” of society, I compare the Rawlsian solution to some other approaches to the new demarcation problem, especially those that emphasize democratic criteria. (shrink)

Intuitions about intentional action have turned out to be sensitive to normative factors: most people say that an indifferent agent brings about an effect of her action intentionally when it is harmful, but unintentionally when it is beneficial. Joshua Knobe explains this asymmetry, which is known as ‘the Knobe effect’, in terms of the moral valence of the effect, arguing that this explanation generalizes to other asymmetries concerning notions as diverse as deciding and being free. I present an alternative explanation (...) of the Knobe effect in terms of normative reasons. This explanation generalizes to other folk psychological notions such as deciding, but not to such notions as being free. I go on to argue, against Knobe, that offering a unified explanation of all the asymmetries he discusses is in fact undesirable. (shrink)

Purpose: The method of diagnosing diabetic retinopathy (DR) through artificial intelligence (AI)-based systems has been commercially available since 2018. This introduces new ethical challenges with regard to obtaining informed consent from patients. The purpose of this work is to develop a checklist of items to be disclosed when diagnosing DR with AI systems in a primary care setting. -/- Methods: Two systematic literature searches were conducted in PubMed and Web of Science databases: a narrow search focusing on DR and a (...) broad search on general issues of AI-based diagnosis. An ethics content analysis was conducted inductively to extract two features of included publications: (1) novel information content for AI-aided diagnosis and (2) the ethical justification for its disclosure. -/- Results: The narrow search yielded n = 537 records of which n = 4 met the inclusion criteria. The information process was scarcely addressed for primary care setting. The broad search yielded n = 60 records of which n = 11 were included. In total, eight novel elements were identified to be included in the information process for ethical reasons, all of which stem from the technical specifics of medical AI. -/- Conclusions: Implications for the general practitioner are two-fold: First, doctors need to be better informed about the ethical implications of novel technologies and must understand them to properly inform patients. Second, patient's overconfidence or fears can be countered by communicating the risks, limitations, and potential benefits of diagnostic AI systems. If patients accept and are aware of the limitations of AI-aided diagnosis, they increase their chances of being diagnosed and treated in time. (shrink)

There are infinitely many ways the world might be, and there may well be infinitely many people in it. These facts raise moral paradoxes. We explore a conflict between two highly attractive principles: a Pareto principle that says that what is better for everyone is better overall, and a statewise dominance principle that says that what is sure to turn out better is better on balance. We refine and generalize this paradox, showing that the problem is faced by many theories (...) of interpersonal aggregation besides utilitarianism, and by many decision theories besides expected value theory. Considering the range of consistent responses, we find all of them to be quite radical. (shrink)

A qualitative study was conducted to examine the philosophy of technology of K-12 technology leaders, and explore the influence of their thinking on technology decision making. The research design aligned with CORBIN and STRAUSS grounded theory methods, and I proceeded from a research paradigm of critical realism. The subjects were school technology directors and instructional technology specialists, and data collection consisted of interviews and a written questionnaire. Data analysis involved the use of grounded theory methods including memo writing, open and (...) axial coding, constant comparison, the use of purposive and theoretical sampling, and theoretical saturation of categories. Three broad philosophy of technology views were widely held by participants: an instrumental view of technology, technological optimism, and a technological determinist perspective that saw technological change as inevitable. Technology leaders were guided by two main approaches to technology decision making, represented by the categories Educational goals and curriculum should drive technology, and Keep up with Technology (or be left behind). The core category and central phenomenon that emerged was that technology leaders approached technology leadership by placing greater emphasis on keeping up with technology, being influenced by an ideological orientation to technological change, and being concerned about preparing students for a technological future. (shrink)

Institutions can be strong or weak. But what does this mean? Equilibrium theories equate institutions with behavioural regularities. In contrast, rule theories explicate them in terms of a standard that people are supposed to meet. I propose that, when an institution is weak, a discrepancy exists between the regularity and the standard or rule. To capture this discrepancy, I present a hybrid theory, the Rules-and-Equilibria Theory. According to this theory, institutions are rule-governed behavioural regularities. The Rules-and-Equilibria Theory provides the basis (...) for two measures of institutional strength. First, institutions that pertain to coordination games solve problems of information. Their strength is primarily a matter of the expected degree of compliance. Second, institutions that concern mixed-motive games solve problems of motivation. Their strength can be measured in terms of the weight people attribute to its rule. (shrink)

La pensée de Heidegger sur le dieu cherche à trouver, retrouver ou découvrir pour celui-ci et dans son histoire une dimension originaire et inaugurale et en même temps non-métaphysique, une voix qui parle dans un autre langage à venir et qui soit celle du monde et des mortels. Cette considération du dieu se rencontre aussi dans les tentaives mystiques d'Orient, en particulier dans le soufisme de la voie (tarika, طريقة) d'Ibn 'Arabi, qui retrouve son dieu autrement que dans sa dimension (...) de créateur. Ce dieu se révèle comme intrinsèque au monde - il n'est jamais sans monde, et surtout il s'avère avoir l'homme pour gardien, pour berger de sa parole et de ce même monde. Le points de convergence des deux pensées sont multiples. Nous offrons ici l'ébauche d'un dialogue qui s'avérera certainement très fructueux pour la pensée du dieu, surtout compte tenu des recherches actuelles concernant le sens du spirituel et du religieux. Le recueillement, l'intériorité qui dépasse la volonté et le défi qu'ils posent à la subjectivité sont au cœur des articlations que nous établissons das ce texte. (shrink)

In this paper, I describe some strategies for teaching an introductory philosophy of science course to Science, Technology, Engineering, and Mathematics (STEM) students, with reference to my own experience teaching a philosophy of science course in the Fall of 2020. The most important strategy that I advocate is what I call the “Second Philosophy” approach, according to which instructors ought to emphasize that the problems that concern philosophers of science are not manufactured and imposed by philosophers from the outside, but (...) rather are ones that arise internally, during the practice of science itself. To justify this approach, I appeal to considerations from both educational research and the epistemology of testimony. In addition, I defend some distinctive learning goals that philosophy of science instructors ought to adopt when teaching STEM students, which include rectifying empirically well-documented shortcomings in students’ conceptions of the “scientific method” and the “nature of science.” Although my primary focus will be on teaching philosophy of science to STEM students, much of what I propose can be applied to non-philosophy majors generally. Ultimately, as I argue, a successful philosophy of science course for non-philosophy majors must be one that advances a student’s science education. The strategies that I describe and defend here are aimed at precisely that end. (shrink)

In this paper the system IL for relative interpretability is studied.

The Preface Paradox is often discussed for its implications for rational belief. Much less discussed is a variant of the Preface Paradox for knowledge. In this paper, I argue that the most plausible closure-friendly resolution to the Preface Paradox for Knowledge is to say that in any given context, we do not know much. I call this view “Socraticism”. I argue that Socraticism is the most plausible view on two accounts—(1) this view is compatible with the claim that most of (...) our knowledge ascriptions are true, and (2) provided that (1) is true, the costs of accepting Socraticism are much less than the costs of accepting any other resolution to the Paradox. I argue for (1) in Section 2 by developing a question-sensitive contextualist model for knowledge that shows how Socraticism is compatible with the claim that most of our knowledge ascriptions are true. I also argue how this contextualist model can achieve this result where other contextualist models fail. I then consider other closure-friendly solutions to the paradox in Section 3 and show how accepting those solutions forces us to give up a number of plausible epistemic principles. (shrink)

Are there deep differences between these cultures in their ways of thinking? How can they be described? There is no neutral language for doing so. One can doubt all claims to deep essence as being metaphysical illusions and figments. However, the differences are certainly experienced. They can be characterized negatively. This is where Chinese and Western viewpoints meet. Whereas Jullien finds the cultural Other enabling him to think otherwise and effectively to keep the recursive self-negating aspect of discourse active and (...) alive in his own discourse, I attempt to do this by reference to the apophatic current underlying Western philosophical reflection in all its most radically critical and especially self-critical manifestations. Especially from consideration of Eastern approaches to universality, the apophatic wisdom that can be gathered here can serve to put us on guard against any universality that can be thought. Universality is not what it is thought to be by the universals that we can think. The naïve faith in thought and education as per se emancipatory is belied by history. The universal remains an ideal rather than a manifest fact in the course of history. It cannot be approached except always by way of the negative. (shrink)

In this paper, I discuss the ways in which epistemic anxiety promotes well-being, specifically by examining the positive contributions that feelings of epistemic anxiety make toward intellectually virtuous inquiry. While the prospects for connecting the concept of epistemic anxiety to the two most prominent accounts of intellectual virtue, i.e., “virtue-reliabilism” and “virtue-responsibilism”, are promising, I primarily focus on whether the capacity for epistemic anxiety counts as an intellectual virtue in the reliabilist sense. As I argue, there is a close yet (...) unexplored connection between feelings of epistemic anxiety and the form of inference commonly known as “Inference to the Best Explanation” (IBE). Specifically, I argue that both the recognition that some fact requires an explanation—a necessary first step in applying IBE—and the subsequent motivation to employ IBE are typically facilitated by feelings of epistemic anxiety. So, provided IBE is truth-conducive the capacity for epistemic anxiety should count as an intellectual virtue in the reliabilist sense. After outlining my main argument, I address the challenge that the capacity for epistemic anxiety has the potential to be misleading. To respond to this challenge, I discuss how our recognition that a fact requires an explanation must in part be a species of practical knowledge, rather than theoretical knowledge. For the agent to skillfully distinguish between facts that require an explanation and facts that do not, she must develop the virtuous disposition to feel the appropriate amount of epistemic anxiety. Despite the many negative aspects associated with anxiety, as I conclude, being disposed to feel the appropriate amount of epistemic anxiety is ultimately good for us. (shrink)

These essays draw on work in the history and philosophy of science, the philosophy of mind and language, the development of concepts in children, conceptual..

Alex Sarch’s recent book, Criminally Ignorant: Why the Law Pretends We Know What We Don’t is a wonderfully rich work.1 Sarch provides and defends an explanatorily powerful theory of criminal culpab...

Artificial agents create significant moral opportunities and challenges. Over the last two decades, discourse has largely focused on the concept of a ‘responsibility gap.’ We argue that this concept is incoherent, misguided, and diverts attention from the core issue of ‘control gaps.’ Control gaps arise when there is a discrepancy between the causal control an agent exercises and the moral control it should possess or emulate. Such gaps present moral risks, often leading to harm or ethical violations. We propose a (...) second-order ‘duty of moral control’ that mandates closing these gaps to reduce risks within acceptable moral limits. Our analysis encompasses both autonomous machines and collective agents, acknowledging their similarities and key differences in constitution and moral status. We suggest four methods to close control gaps: ensuring artificial agents attain moral agency, providing meaningful human control, implementing safety engineering, and employing social control. These methods aim to responsibly integrate artificial agents into society. We conclude that a realistic approach, which addresses the practical problems posed by control gaps, is essential. This approach provides solutions to manage the risks posed by artificial agents while maintaining acceptable moral standards, ensuring we responsibly harness their potential and address the ethical challenges they present. (shrink)

Biomarker-based predictive tests for subjectively asymptomatic Alzheimer’s disease (AD) are utilized in research today. Novel applications of artificial intelligence (AI) promise to predict the onset of AD several years in advance without determining biomarker thresholds. Until now, little attention has been paid to the new ethical challenges that AI brings to the early diagnosis in asymptomatic individuals, beyond contributing to research purposes, when we still lack adequate treatment. The aim of this paper is to explore the ethical arguments put forward (...) for AI aided AD prediction in subjectively asymptomatic individuals and their ethical implications. The ethical assessment is based on a systematic literature search. Thematic analysis was conducted inductively of 18 included publications. The ethical framework includes the principles of autonomy, beneficence, non-maleficence, and justice. Reasons for offering predictive tests to asymptomatic individuals are the right to know, a positive balance of the risk-benefit assessment, and the opportunity for future planning. Reasons against are the lack of disease modifying treatment, the accuracy and explicability of AI aided prediction, the right not to know, and threats to social rights. We conclude that there are serious ethical concerns in offering early diagnosis to asymptomatic individuals and the issues raised by the application of AI add to the already known issues. Nevertheless, pre-symptomatic testing should only be offered on request to avoid inflicted harm. We recommend developing training for physicians in communicating AI aided prediction. (shrink)

It is very natural to think that if two people, x and y, are qualitatively identical and have committed qualitatively identical actions, then it cannot be the case that one has committed something wrong whereas the other did not. That is to say, if x and y differ in their moral status, then it must be because x and y are qualitatively different, and not simply because x is identical to x and not identical to y. In this fictional dialogue (...) between Socrates and Cantor involving infinitely many qualitatively identical agents, this assumption is challenged. (shrink)

The child’s right to an open future aims at protecting the autonomy of the mature person into which a child will normally develop. The justification of state interventions into parental decisions which unduly restrict the options of the prospective adult has to address the problem that the value of autonomy is highly contested in modern pluralist societies. The article argues that the modern majority culture provides young adults with many more options than traditionalist religious communities. However, the options that can (...) be chosen in faith groups, such as the Amish, do not constitute a subset of the options available in the wider society. Therefore, state policies which pursue the goal of providing every child with the greatest possible set of options cannot be based on a neutralist version of political liberalism. The advocates of a child’s right to an open future must rely on a perfectionist version of liberalism which draws on the ideal of leading an autonomous life. Since liberal perfectionism has problematic implications, the article defends a neutralist position that largely refrains from state interference with the educational authority of fundamentalist religious communities. (shrink)

Name der Zeitschrift: Nietzsche-Studien Jahrgang: 44 Heft: 1 Seiten: 267-290 In this paper, I examine the possibility of constructing an ontological phenomenology of love by tracing Nietzsche’s questioning about science. I examine how the evolution of Nietzsche’s thinking about science and his increasing suspicion towards it coincide with his interest for the question of love. Although the texts from the early and middle period praise science as an antidote to asceticism, the later texts associate the scientifi c spirit with asceticism. (...) I argue that this shift is motivated by Nietzsche’s realization that asceticism and science share the same fetish of facts. It is now for Nietzsche no longer a matter of proving the so-called facts of the backworlds to be wrong (something science is very capable of doing), but a matter of rejecting the very structure of thought that reduces a shapeless reality into a series of facts, subjects and objects. It is this second attitude that Nietzsche regards as the common core of science and asceticism. From this critique of science and its correlative critique of facts, Nietzsche begins searching for a counter-attitude able to perform the reduction of the factual attitude. This is the attitude he calls love. Although Nietzsche’s concept of love has oft en been elucidated in terms of its object or its subject, I argue that such interpretations precisely defeat Nietzsche’s point, which is to recover a ground that precedes the division of the world into subjects and objects. Love becomes the name of this intra-relationship of being, opening up to new perspectives on Nietzsche’s ontology of the will to power. (shrink)

If a future AI system can enjoy far more well-being than a human per resource, what would be the best way to allocate resources between these future AI and our future descendants? It is obvious that on total utilitarianism, one should give everything to the AI. However, it turns out that every Welfarist axiology on the market also gives this same recommendation, at least if we assume consequentialism. Without resorting to non-consequentialist normative theories that suggest that we ought not always (...) create the world with the most value, or non-welfarist theories that tell us that the best world may not be the world with the most welfare, I propose a new theory that justifies giving some resources to humanity in the face of overwhelming AI well-being. I call this new theory, “Group Prioritarianism". (shrink)

The purpose of this essay is to draw attention to conceptual similarities between two important texts in the history of political philosophy, Plato’s Republic and Noam Chomsky’s and Edward S. Herman’s work, Manufacturing Consent. Similar to the way the “propaganda model,” which Chomsky and Herman describe as a phenomenon by which “news media” is used as a means to transmitting false ideas, the method described by Socrates in the Republic, where poetry is used as a means to transmit false ideas (...) is not entirely different. Furthermore, those who transmit false ideas under such conditions do so automatically, consciously or not, because they’ve internalized certain values, which lead to an automatic rule and certain political order. I will also employ the concepts of “harmful propaganda” and “flawed ideologies” that Jason Stanley outlines in How Propaganda Works, and show that these concepts are either identical or closely related to the problem of manufacturing consent, amongst others. (shrink)

Scholars have emphasized that decisions about technology can be influenced by philosophy of technology assumptions, and have argued for research that critically questions technological determinist assumptions. Empirical studies of technology management in fields other than K-12 education provided evidence that philosophy of technology assumptions, including technological determinism, can influence the practice of technology leadership. A qualitative study was conducted to a) examine what philosophy of technology assumptions are present in the thinking of K-12 technology leaders, b) investigate how the assumptions (...) may influence technology decision making, and c) explore whether technological determinist assumptions are present. The research design aligned with Corbin and Strauss qualitative data analysis, and employed constant comparative analysis, theoretical sampling, and theoretical saturation of categories. Subjects involved 31 technology directors and instructional technology specialists from Virginia school districts, and data collection involved interviews following a semi-structured protocol, and a written questionnaire with open-ended questions. The study found that three broad philosophy of technology views were widely held by participants, including an instrumental view of technology, technological optimism, and a technological determinist perspective that sees technological change as inevitable. The core category and central phenomenon that emerged was that technology leaders approach technology leadership through a practice of Keep up with technology (or be left behind). The core category had two main properties that are in conflict with each other, pressure to keep up with technology, and the resistance to technological change they encounter in schools. The study found that technology leaders are guided by two main approaches to technology decision making, represented by the categories Educational goals and curriculum should drive technology, and Keep up with Technology (or be left behind). As leaders deal with their perceived experience of the inevitability of technological change, and their concern for preparing students for a technological future, the core category Keep up with technology (or be left behind) is given the greater weight in technology decision making. The researcher recommends that similar qualitative studies be conducted involving technology leaders outside Virginia, and with other types of educators. It is also recommended that data from this or other qualitative studies be used to help develop and validate a quantitative instrument to measure philosophy of technology assumptions, for use in quantitative studies. (shrink)

This paper discusses the finite version of the two envelope paradox. (That is, we treat the paradox against the background assumption that there is only a finite amount of money in the world.).