Material traces of the past are notoriously inscrutable; they rarely speak with one voice, and what they say is never unmediated. They stand as evidence only given a rich scaffolding of interpretation which is, itself, always open to challenge and revision. And yet archaeological evidence has dramatically expanded what we know of the cultural past, sometimes demonstrating a striking capacity to disrupt settled assumptions. The questions we address in Evidential Reasoning are: How are these successes realized? What gives us confidence (...) in the credibility and robustness, the trustworthiness, of the evidential claims based on archaeological data? And, what constitute best practices in building evidential claims, critically scrutinizing them and putting them to work in archaeological contexts? Rather than retreat to abstractions about how how science operates in the ideal, we approach this question by interrogating a number of close-to-the-ground case studies with the aim of teasing out the wisdom embodied in archaeological practice. The cases we consider – of fieldwork, strategies for working with old evidence, and the role of external resources – illuminate the role of various types of inferential scaffolding and bring into focus practice-grounded epistemic norms that we believe serve archaeologists better than the all-or-nothing ideals of truth and objectivity that dominate programmatic debate. (shrink)

Volume 20, Issue 4, May 2020, Page 46-48.

This paper examines the relationship between violence and the domination of speech in Spinoza’s political thought. Spinoza describes the cost of such violence to the State, to the collective epistemic resources, and to the members of the polity that domination aims to script and silence. Spinoza shows how obedience to a dominating power requires pretense and deception. The pressure to pretend is the linchpin of an account of how oppression severely degrades the conditions for meaningful communication, and thus the possibilities (...) for thinking and acting in common. Because it belongs to human nature to desire to share our thoughts with others, Spinoza believes that most people experience efforts to control our communication to be acutely intolerable. As a result, such unbearable violence threatens the political order that deploys it. I conclude with some speculative remarks about why, in the Theological-Political Treatise, Spinoza consistently deploys the superlative form of the adjective violentus in reference to the domination of thought and speech rather than to other modes of political violence. (shrink)

The available resources for global health assistance are far outstripped by need. In the face of such scarcity, many people endorse a principle according to which highest priority should be given to the worst off. However, in order for this prioritarian principle to be useful for allocation decisions, policy-makers need to know what it means to be badly off. In this article, we outline a conception of disadvantage suitable for identifying the worst off for the purpose of making health resource (...) allocation decisions. According to our total advantage view: the worst off are those who have the greatest total lifetime disadvantage; advantage foregone due to premature death should be treated in the same way as other ways of being disadvantaged at a time; how badly off someone is depends on the actual outcomes that will befall her without intervention, not her prospects at a time; and all significant forms of disadvantage count for determining who is worst off, not just disadvantage relating to health. We conclude by noting two important implications of the total advantage view: first, that those who die young are among the globally worst off, and second, that the epidemiological shift in the global burden of disease from communicable to non-communicable diseases should not lead to a corresponding shift in global health spending priorities. (shrink)

This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data is (...) also taken into account, for example data about space weather effects, by drawing on the Space Domain Ontologies, a large system of ontologies designed to support all aspects of space situational awareness. The framework is coupled with a mathematical programming scheme that frames a mathematically optimal approach for decision support, providing a quantitative basis for ranking potential for collision across multiple satellite pairs. The goal is to provide the broadest possible information foundation for critical assessments of collision likelihood. (shrink)

Abstract. Drawing on Black radical thought, some political theorists have elaborated a notion of ‘fugitive freedom’ that challenges us to understand freedom beyond the canonical concepts of ‘positive’ and ‘negative’ liberty. The idea of fugitive freedom concerns the vast liminal space between being enslaved and enjoying complete political (or ethical) liberty. Whereas for traditional political theory, there are two ‘conditions’ or ‘statuses’ assigned to subjects (‘free’ or ‘slave’), reflection on slave narratives and the history of maroon communities points to freedom (...) expressed in escape, flight, and movement away from domination. Fugitive freedom is enabled and sustained through quotidian, clandestine practices of communication, concealment, care, and refuge. Inspired by these exhortations to reimagine the forms that freedom can take, this paper finds in Spinoza a notion of fugitivity, understood as a counter-power, animated by the desire to escape domination, generate solidarity, and forge mental community. (shrink)

Philosophy has a language problem. A recent study by Schwitzgebel, Huang, Higgins and Gonzalez-Cabrera (2018) found that, in a sample of papers published in elite journals, 97% of citations were to work originally written in English. 73% of this same sample didn’t cite any paper that had been originally written in a language other than English. Finally, a staggering 96% of elite journal editorial boards are primarily affiliated with an Anglophone university. This is consistent with earlier data suggesting that journal (...) submissions from countries that are outside the Anglophone world and Europe have disturbingly low chances of being accepted. The route forward is not entirely clear. What is clear, however, is that this structural disadvantage deserves closer philosophical and empirical attention. We owe this to current and future members of our philosophical community who speak English non-natively. We also need this if we want to make sure philosophy is enriched by a diverse group of thinkers who have a grasp of different languages, and of the cultures strongly associated with them. (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)

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 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)

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 describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual Spaces (...) are revolutionary, they lack an underlying mathematical framework. Several such frameworks have attempted to represent Conceptual Spaces, but by far the most robust is the model developed by Holender. His model utilizes integer linear programming in order to obtain an overall similarity value between observations and concepts that support the formation of hypotheses. This paper will describe a method for building Conceptual Spaces models for threats that utilizes ontologies as a means to provide a clear semantic foundation for this inferencing process; in particular threat ontologies and space domain ontologies are developed and employed in this approach. A space situational awareness use-case is presented involving a kinetic kill scenario and results are shown to assess the performance of this fusion-based inferencing framework. (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)

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.

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this data (...) fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (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)

Buddhist philosophy asserts that human suffering is caused by ignorance regarding the true nature of reality. According to this, perceptions and thoughts are largely fabrications of our own minds, based on conditioned tendencies which often involve problematic fears, aversions, compulsions, etc. In Buddhist psychology, these tendencies reside in a portion of mind known as Store consciousness. Here, I suggest a correspondence between this Buddhist Store consciousness and the neuroscientific idea of stored synaptic weights. These weights are strong synaptic connections built (...) in through experience. Buddhist philosophy claims that humans can find relief from suffering through a process in which the Store consciousness is transformed. Here, I argue that this Buddhist 'transformation at the base' corresponds to a loosening of the learned synaptic connections. I will argue that Buddhist meditation practices create conditions in the brain which are optimal for diminishing the strength of our conditioned perceptual and behavioural tendencies. (shrink)

How do archaeologists make effective use of physical traces and material culture as repositories of evidence? Material Evidence is a collection of 19 essays that take a resolutely case-based approach to this question, exploring key instances of exemplary practice, instructive failures, and innovative developments in the use of archaeological data as evidence. The goal is to bring to the surface the wisdom of practice, teasing out norms of archaeological reasoning from evidence. -/- Archaeologists make compelling use of an enormously diverse (...) range of material evidence, from garbage dumps to monuments, from finely crafted artifacts rich with cultural significance to the inadvertent transformation of landscapes over the long term. Each contributor to Material Evidence identifies a particular type of evidence with which they grapple and considers, with reference to concrete examples, how archaeologists construct evidential claims, critically assess them, and bring them to bear on pivotal questions about the cultural past. -/- Historians, cultural anthropologists, philosophers, and science studies scholars are increasingly interested in working with material "things" as objects of inquiry and as evidence – and they acknowledge on all sides just how challenging this is. One of the central messages of the book is that close analysis of archaeological best practice can yield constructive guidelines for practice that have much to offer practitioners within archaeology and well beyond. (shrink)

Previous work has shown that the Complex Conceptual Spaces − Single Observation Mathematical framework is a useful tool for event characterization. This mathematical framework is developed on the basis of Conceptual Spaces and uses integer linear programming to find the needed similarity values. The work of this paper is focused primarily on space event characterization. In particular, the focus is on the ranking of threats for malicious space events such as a kinetic kill. To make the Conceptual Spaces framework work, (...) the similarity values between the contents of observations on the one hand and the properties of the entities observed on the other needs to be found. This paper shows how to exploit Dempster-Shafer theory to implement a statistical approach for finding these similarities values. This approach will allow a user to identify the uncertainty involved in similarity value data, which can later be propagated through the developed mathematical model in order for the user to know the overall uncertainty in the observation-to-concept mappings needed for space event characterization. (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)

Like any broad narrative about the history of ideas, this one involves a number of simplifications. My hope is that by taking a closer look Spinoza's notorious remarks on animals, we can understand better why it becomes especially urgent in this period as well as our own for philosophers to emphasize a distinction between human and nonhuman animals. In diagnosing the concerns that give rise to the desire to dismiss the independent purposes of animals, we may come to focus on (...) a new aspect of what needs to change about contemporary thinking on species divisions. In what follows, I will bring out Spinoza's contradictory and ambivalent remarks pertaining to the specific differences between humans and animals. It is my suspicion that this ambivalence continues to plague us today. Like Spinoza, we want to say that humans are like and unlike animals. As a simply descriptive claim, it may be true and innocuous. Yet, the way we affirm our proximity and distance from nonhuman animals requires careful attention. Spinoza viewed this proximity as a source of danger. We might do well to emphasize, with thinkers such as Donna Haraway (2003),how our proximity and difference are also sources of pleasure and power, both to be able to enjoy the affectionate bond that can often develop between humans and our animal companions but also to quell the anxiety that might encourage us to exploit and abuse them. (shrink)

This essay contends that Spinoza provides a valuable analysis of the ‘‘affective’’damage to a social body caused by fear, anxiety, and ‘‘superstition.’’ Far from being primarily an external threat, this essay argues that terrorism and the promulgationof fear by the current administration in the United States pose a threat to internalsocial cohesion. The capacity to respond in constructive and ameliorative ways tocurrent global conflicts is radically undermined by amplifying corrosive relationshipsof anxiety, suspicion and hatred among citizens. Spinoza presents a portrait (...) of natural and political existence as deeply relational and ‘‘affective’’ such that human freedom and power depend upon the concern for the affective and passionatedispositions of human bodies and minds. In order for democracy, the power of themany, to exist effectively, the social body must be ruled by ‘‘joyful passions’’ rather than ‘‘sad passions,’’ which are destructive and debilitating by nature. (shrink)

(Selection) Despite its contemplative, earnest, and, at times, disarmingly conversational tone, Spinoza's Religion is a rather provocative book. The epithets thrown at Spinoza throughout the early modern period—referring to the Theological-Political Treatise as that most "pestilential book," "forged in hell" by a godless rebel and atheist—are today badges of pride. Spinoza is celebrated among scholars and in popular culture for his uncompromising iconoclasm. He is admired for his refusal, following his ban from Judaism as a young man, to align with (...) any religious faith. Regarded as a staunch critic of religion, Spinoza is credited with paving the way for secular morality, guided by scientific and rational knowledge. With Spinoza's Religion, Carlisle urges us to understand the Ethics as a fundamentally religious text, which, at the same time, transforms our ideas of what religion is. (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 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)

This paper outlines Spinoza’s two diametrically opposed views on the question of sexual equality. In the Political Treatise, he contends that women are naturally inferior to men, and that they are unable to practice virtue. Yet, he presents an antithetical portrait of Eve in his retelling of the Fall in the Ethics. There, Eve’s nature accords perfectly with Adam’s, and their relationship might have promoted virtue in each of them. Attention to Spinoza’s version of the Fall reveals the profound importance (...) of the human bond for the enjoyment of freedom, and the possibility that women are not categorically excluded from Spinoza’s vision of virtue. (shrink)

In ‘Are Citizenship Tests Necessarily Illiberal?’, Michael Blake argues that difficult citizenship tests are not necessarily illiberal, so long as they test for the right things. In this paper, I argue that Blake’s attempt to square citizenship tests with liberalism fails. Blake underestimates the burdens citizenship tests impose on immigrants, ignoring in particular the egalitarian claims immigrants have on equal social membership. Moreover, Blake’s positive justification of citizenship tests – that they help justify immigrants’ coercive voting power – both neglects (...) the fact that such tests are coercively imposed on immigrants and that the citizenship test Blake envisions does little to help ensure immigrants’ votes are legitimate. Citizenship tests thus aren’t, even in principle, a way of protecting citizens from unjustified coercive power. They are, even under favourable circumstances, an illiberal way of obstructing immigrants’ quest for social equality. (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)

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)

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 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)

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)

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)

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)

Earth scientists have declared that we are living in “the Anthropocene,” but radical critics object to the implicit attribution of responsibility for climate disruption to all of humanity. They are right to object. Yet, in effort to implicate their preferred villains, their revised narratives often paint an overly narrow picture. Sharing the impulse of radical critics to tell a more precise and political story about how we arrived where we are today, this paper wagers that collective action is more effectively (...) mobilized when we identify multiple agencies and diverse historical processes as sites in need of urgent intervention. (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)

Psychological eudaimonism is the view that we are constituted by a desire to avoid the harmful. This entails that coming to see a prospective or actual object of pursuit as harmful to us will unseat our positive evaluative belief about that object. There is more than one way that such an 'unseating' of desire may be caused on an intellectualist picture. This paper arbitrates between two readings of Socrates' 'attack on laziness' in the Meno, with the aim of constructing a (...) model of moral education based on PE's implied moral psychology. In particular, we argue against the view that when we come to see - through prudential reasoning - that our blatant evaluative beliefs and desires disserve eudaimonism, we will no longer perceive their intentional objects as choice-worthy. We suggest, instead, that it is by experiencing shame that we cease to see the intentional objects of our evaluative beliefs and desires as worthy of pursuit. This form of 'hydraulic education' bypasses reason-responsiveness altogether. As such, it only allows for practical norms to be derived from the nature of agency indirectly, namely by enabling the use of discursive practical reasoning. (shrink)

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

The current economic/political system, neoliberalism, has touched every aspect of life globally. The doctrine of neoliberalism consists of three central propositions, that the market is real and part of the natural universal law; that unlimited economic growth is both possible and even desirable; and that human nature is coincident with market values and based solely on self-interest. All three of these propositions are seriously flawed and have caused immense human suffering and staggering environmental destruction. This paper is a reminder of (...) the failures of neoliberal policy and an appeal for change to a new institutional arrangement in which development trumps economic growth. This position is in contrast to Francis Fukuyama’s end-of-history thesis. He alleges there are no economic/political ideologies to compete with neoliberalism, the “TINA principle: There Is No Alternative”: the West has won. It is time to reintroduce Henry David Thoreau’s, and to a lesser extent, Adam Smith’s moral economies. Both have encourgaging insights, often overlooked by current academic economists, which could figure prominently in the conception of a new economy. (shrink)

Spinoza is widely understood to criticize the role that fear plays in political life. Yet, in the Political Treatise, he maintains that everyone desires civil order due to a basic and universal fear of solitude. This chapter argues that Spinoza represents the fear of solitude as both a civilizing passion and as an affect that needs to be amplified and encouraged. The turbulence of social and political life makes solitude attractive, but isolation undermines the conditions of human power. Although it (...) may seem uncontroversial to understand isolation as something to avoid in political life, this chapter argues that Spinoza deflates the appeal of la vita solitaria even for philosophers and those seeking ethical perfection. (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)

Against the common understanding that the Ethics promotes a "radical anti-emotion program," I claim that Spinoza describes an immanent transformation of love from a form of madness to an expression of wisdom. Love as madness produces the affects that another tradition unites in the seven deadly sins, such as lust, gluttony, envy, greed, and pride. Spinoza, however, never condemns these affects as such. Within each affect one can find its "correct use" (E5p10schol), which enables us to love and to live (...) otherwise. As we come to understand our beloveds as determinate expressions both of nature's power and of our own ability to persevere in being, we find conditions for our liberation within these most burdensome of passions. More specifically, as we diminish our tendency to imagine what we love in terms of its finitude and susceptibility to loss, we are determined to love and to know both others and ourselves by the joyful passions. Ultimately, Spinoza's portrait of love suggests ways of life that generate the satisfaction of our possessive desire with the collective and inclusive love of, certainly, the eternal and immutable thing, but also the eternal and immutable in things, in each other, and above all, in ourselves. In other words, Spinoza's economics of love and possession point up the desire to appropriate our own power in and of community, and in of nature. (shrink)