An underappreciated fact in the history of analytic philosophy is that American pragmatism had an early and strong influence on the Vienna Circle. The path of that influence goes from Charles Peirce to Frank Ramsey to Ludwig Wittgenstein to Moritz Schlick. That path is traced in this paper, and along the way some standard understandings of Ramsey and Wittgenstein, especially, are radically altered.

A book review of Frank Ramsey: A Sheer Excess of Powers, by Cheryl Misak (OUP, 2020).

This paper responds to the generous comments by Alexander Klein and Cheryl Misak on my “American Pragmatism and the Vienna Circle: The Early Years”. First, besides offering some clarification of my original thesis, I argue that Jerusalem was not liable to the anti-Spencerian criticisms by James that Klein adduces in the course of defending James against the charge of psychologism. Then I investigate the impact of Wittgenstein’s Ramsey-derived pragmatism, importantly foregrounded by Misak, on the Vienna Circle and argue that (...) it was mainly limited to Schlick but not recognized as pragmatist, also leaving unaffected the impact of James’s pragmatism on Frank, Hahn and Neurath specified in my original paper. That said, Klein’s and Misak’s comments add significantly to our understanding of long-neglected transatlantic philosophical connections in the early twentieth century. (shrink)

When fat people are depicted in popular media, we often take their behavior to be representative of all fat people. How one fat person acts becomes representative of a broader pattern of behavior that all fat people are presumed to share, shaping the way we understand fatness. This way of generalizing presents fatness as a singular experience, reducing fat people to a monolithic narrative that often reinforces anti-fat bias. How do we avoid this reduction? How can we responsibly depict fat (...) characters without perpetuating negative stereotypes about real fat people? Using the case of “Fat Thor” from Avengers: Endgame, I propose the beginnings of an account of responsible artistic agency which can be used to improve the ways that marginalized communities are depicted in art, with a particular focus on fat communities. Central to this account are two features: inclusion of and deference to members of the communities depicted from a variety of backgrounds throughout the production process, and mindfulness of the preexisting narrative web built around the communities depicted. I will use this discussion to highlight the need for a drastic shift in how we consider marginalized populations in art—in reimagining both who tells their stories, and what stories are told on their behalf. (shrink)

In this paper we track the ‘body positivity’ movement from its origins, promoting radical acceptance of marginalized bodies, to its co-optation as a push for self-love for all bodies, including those bodies belonging to socially dominant groups. We argue that the new focus on the ‘body positivity’ movement involves a single-minded emphasis on beauty and aesthetic adornment, and that this undermines the original focus of social and political equality, pandering instead to capitalism and failing to rectify unjust institutions and policies. (...) As such, we argue that the ‘body positivity’ movement ultimately marginalises further the bodies for which it initially sought justice and acceptance. (shrink)

Because factory-farmed meat production inflicts gratuitous suffering upon animals and wreaks havoc on the environment, there are morally compelling reasons to become vegetarian. Yet industrial plant agriculture causes the death of many field animals, and this leads some to question whether consumers ought to get some of their protein from certain kinds of non factory-farmed meat. Donald Bruckner, for instance, boldly argues that the harm principle implies an obligation to collect and consume roadkill and that strict vegetarianism is thus immoral. (...) But this argument works only if the following claims are true: all humans have access to roadkill, roadkill would go to waste if those who happen upon it don’t themselves consume it, it’s impossible to harvest vegetables without killing animals, the animals who are killed in plant production are all-things-considered harmed by crop farming, and the best arguments for vegetarianism all endorse the harm principle. As I will argue in this paper, each claim is deeply problematic. Consequently, in most cases, humans ought to strictly eat plants and save the roadkill for cats. (shrink)

In recent discussions, it has been argued that a theory of animal rights is at odds with a liberal abortion policy. In response, Francione (1995) argues that the principles used in the animal rights discourse do not have implications for the abortion debate. I challenge Francione’s conclusion by illustrating that his own framework of animal rights, supplemented by a relational account of moral obligation, can address the moral issue of abortion. I first demonstrate that Francione’s animal rights position, which grounds (...) moral consideration in sentience, is committed to the claim that a sentient fetus has a right to life. I then illustrate that a fully developed account of animal rights that recognizes the special obligations humans have to assist animals when we cause them to be dependent and vulnerable through our voluntary actions or omissions is committed to the following: a woman also has a special obligation to assist a sentient fetus when she causes it to be dependent and vulnerable through her voluntary actions or omissions. From these considerations, it will become evident that a fully developed and consistent animal rights ethic does in fact have implications for the abortion discussion. (shrink)

It seems that no philosopher these days wants a theory of truth which can be accused of being metaphysical. But even if we agree that grandiose metaphysics is to be spurned, even if we agree that our theory of truth should be a deflated one, the controversy does not die down. A variety of deflationist options present themselves. Some, with Richard Rorty, take the notion of truth to be so wedded to metaphysics that we are advised to drop it altogether. (...) Others, with Paul Horwich, take the disquotational or equivalence schema—'p' is T if and only if p—to completely capture the content of the predicate 'is true'. And others argue that there is a conception of truth to be had which is non-metaphysical but which goes beyond the triviality expressed by the disquotational schema. (shrink)

While theories of animal rights maintain that nonhuman animals possess prima facie rights, such as the right to life, the dominant philosophies of animal rights permit the killing of nonhuman animals for reasons of self-defense. I argue that the animal rights discourse on defensive killing is problematic because it seems to entail that any nonhuman animal who poses a threat to human beings can be justifiably harmed without question. To avoid this human-privileged conclusion, I argue that the animal rights position (...) needs to both (1) deploy a new criterion of liability to defensive harm, and (2) seriously consider whether human beings themselves are liable to defensive harm in human-animal conflicts. By shifting the focus to whether humans are liable to defensive harm, we will find that in many situations of human-animal conflict, human beings are actually the ones liable to be harmed because they are often culpable or, to some degree, morally responsible for posing an unjust threat to nonhuman animals. (shrink)

In The Case for Animal Rights, Tom Regan argues that, in addition to the negative duty not to harm nonhuman animals, moral agents have a positive duty to assist nonhuman animals who are victims of injustice. This claim is not unproblematic because, in many cases, assisting a victim of injustice requires that we harm some other nonhuman animal(s). For instance, in order to feed victims of injustice who are obligate carnivores, we must kill some other animal(s). It seems, then, that (...) sometimes the duty to assist nonhuman animals who are victims of injustice conflicts with the prima facie duty not to harm nonhuman animals. In defense of Regan’s theory against this apparent inconsistency, I introduce an additional principle, the “guardianship principle,” which can be used to illustrate how we can be justified, under certain conditions, in overriding our prima facie duty not to harm nonhuman animals in order to fulfill our duty to assist nonhuman animals who are victims of injustice. (shrink)

In response to my argument against Aristotle’s claim that humans are more political than other animals, Edward Jacobs counters that the evidence I use from cognitive ethology and my application of evolutionary principles fail to demonstrate that other animals are as political as humans. Jacobs furthermore suggests that humans are more political than other animals by pointing to the political variation in human communities. In this article, I defend my use of evolutionary principles and my interpretation of anecdotes from cognitive (...) ethology, while challenging Jacobs’s assertion that human political variation implies that humans are more political than other animals. (shrink)

The discourses of Antillanité and Créolité are both based on the absence of women. This is more important in the discourse of Créolité since it silences the grandmothers, great aunts and village midwives who are the transmitters of folk tales, folk medicines and oral culture. In the struggle for recognition between Caribbean males and western males folk medicine may be too closely associated with the denigrated female role to be considered a suitable inclusion into modern development.

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 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 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)

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.

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)

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)

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)

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)

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)

Diese Einleitung liefert eine Skizze der Genese des Bandes, eine Einführung in die im Sammelband diskutierten Themenkomplexe und Fragestellungen sowie Zusammenfassungen aller in ihm enthaltenen Beiträge.

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 modern pluralist societies, the meaning and value of individual autonomy is highly contested. Typically, some religious groups deny the ideal of leading a self‐directed life and regard strict obedience to God's commands as the primary goal of child education. This article pursues the question of whether a liberal state may legitimately interfere with parental authority in order to protect the development of a child's inner capacity for autonomy. It is argued that the ability to critically re‐evaluate one's life plan (...) is valuable for the offspring of secular and pious parents alike. Therefore, restrictions on parental rights can be justified within a liberal theoretical framework that is neutral between autonomous and heteronomous conceptions of the good. However, religious parents need not be prepared to call their most important tenets into question; they may foster their children's capacity for critical reflection in other ways. Since the vast majority of religious families meet this requirement, state interventions are rarely warranted. (shrink)

In this chapter we identify three potentially morally problematic behaviours that are common among users of dating and hook-up apps (DHAs) and provide arguments as to why they may or may not be considered (a) in a category of their own, distinct from similar behaviours outside of DHAs; (b) caused or facilitated by affordances and business logic of DHAs; (c) as indeed morally wrong. We also consider ways in which morally problematic behaviours can be anticipated, mitigated, or even prevented by (...) analysis of the ethical and moral dimensions of technologies and their afforded uses. Finally, we offer some possible directions for future work on these topics in particular and on the ethical consequences of DHAs in general. (shrink)

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)

Das Internet bietet die Möglichkeit, eine beliebig große Anzahl von Personen durch unterschiedliche Formen der Deliberation und Beschlussfassung politisch einzubinden. Insbesondere im kommunalen Kontext wird die Online-Partizipation – etwa im Rahmen städtischer Bürgerhaushalte – bereits vielfach als Mittel erprobt, um die soziale Akzeptanz und Legitimität politischer Entscheidungen zu erhöhen. Die Legitimität demokratischer Verfahren hängt neben anderen Faktoren maßgeblich von der Konstitution des Demos und der damit festgelegten Allokation der Teilnahmerechte ab. In historischer Perspektive hat vor allem die Exklusion bestimmter Gruppen, (...) insbesondere von Frauen, Besitzlosen oder nichtweißen Personen, die Legitimität klassischer Offline-Verfahren, wie z. B. Parlamentswahlen, in Frage gestellt. Die neuen Formen der Online-Partizipation bergen hingegen – so die zentrale These des Aufsatzes – die Gefahr der Über-Inklusivität, weil sie häufig auf jegliche Zugangsbeschränkung verzichten. Selbst wenn die Verfahren, wie in der Praxis üblich, einen konsultativen Charakter haben und die politischen Entscheidungsträger formal nicht binden, führt ihre Offenheit zu Legitimationsproblemen. Daraus entsteht die Notwendigkeit, normative Kriterien für die Vergabe von Partizipationsrechten zu entwickeln, die den Besonderheiten der Online-Deliberation angemessen Rechnung tragen. (shrink)

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

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)

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)

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)

Environmental health research produces scientific knowledge about environmental hazards crucial for public health and environmental justice movements that seek to prevent or reduce exposure to these hazards. The environment in environmental health research is conceptualized as the range of possible social, biological, chemical, and/or physical hazards or risks to human health, some of which merit study due to factors such as their probability and severity, the feasibility of their remediation, and injustice in their distribution. This paper explores the ethics of (...) identifying the relevant environment for environmental health research, as judgments involved in defining an environmental hazard or risk, judgments of that hazard or risk's probability, severity, and/ or injustice, as well as the feasibility of its remediation, all ought to appeal to non-epistemic as well as epistemic values. I illustrate by discussing the case of environmental lead, a housing-related hazard that remains unjustly distributed by race and class and is particularly dangerous to children. Examining a controversy in environmental health research ethics where researchers tested multiple levels of lead abatement in lead-contaminated households, I argue that the broader perspective on the ethics of environmental health research provided in the first part of this paper may have helped prevent this controversy. (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)

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..

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)

This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The main (...) claim is that economists who ignore or downplay catastrophic risks in their representations of uncertainty likely fall afoul of ethical constraints on scientists acting as policy advisors. Such scientists have duties to honestly articulate uncertainties and manage (some) inductive risks, or the risks of being wrong in different ways. (shrink)

Necessity is a touchstone issue in the thought of Charles Peirce, not least because his pragmatist account of meaning relies upon modal terms. We here offer an overview of Peirce’s highly original and multi-faceted take on the matter. We begin by considering how a self-avowed pragmatist and fallibilist can even talk about necessary truth. We then outline the source of Peirce’s theory of representation in his three categories of Firstness, Secondness and Thirdness, (monadic, dyadic and triadic relations). These have modal (...) purport insofar as the first category corresponds to possibility, the second to mechanical necessity and the third to a kind of semantic or intentional necessity. We then turn to Peirce’s explicit modal epistemology and show how it began as information-relative, with different modalities (e.g. logical, physical, practical) distinguished in terms of respective ‘designated states of information’, and shifted later in his life towards a more robust realism founded in direct perception of ideas in their relations. We then turn to Peirce’s formal logic, focusing on his diagrammatic system of Existential Graphs where he did his most serious logical research. Finally we discuss Peirce’s modal metaphysics and its implications for determinism and realism about universals. (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 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)

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)

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)

In this chapter we take stock of some of the complexities of the sprawling field of AI ethics. We consider questions like "what is the proper scope of AI ethics?" And "who counts as an AI ethicist?" At the same time, we flag several potential uses and abuses of AI ethics. These include challenges for the AI ethicist, including what qualifications they should have; the proper place and extent of futuring and speculation in the field; and the dilemmas concerning how (...) we use our public and academic resources. (shrink)