Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...) this paper, using the case of deep neural networks, I argue that it is not the complexity or black box nature of a model that limits how much understanding the model provides. Instead, it is a lack of scientific and empirical evidence supporting the link that connects a model to the target phenomenon that primarily prohibits understanding. (shrink)

What kinds of issues does the global crisis of climate change present to aesthetics, and how will they challenge the field to respond? This paper argues that a new research agenda is needed for aesthetics with respect to global climate change (GCC) and outlines a set of foundational issues which are especially pressing: (1) attention to environments that have been neglected by philosophers, for example, the cryosphere and aerosphere; (2) negative aesthetics of environment, in order to grasp aesthetic experiences, meanings, (...) and dis/values in light of the catastrophic effects of GCC; (3) bringing intergenerational thinking into aesthetics through concepts of temporality and 'future aesthetics' (4) understanding the relationship between aesthetic and ethical values as they arise in regard to GCC. (shrink)

ArgumentMost social scientists today think of data sharing as an ethical imperative essential to making social science more transparent, verifiable, and replicable. But what moved the architects of some of the U.S.’s first university-based social scientific research institutions, the University of Michigan’s Institute for Social Research, and its spin-off, the Inter-university Consortium for Political and Social Research, to share their data? Relying primarily on archived records, unpublished personal papers, and oral histories, I show that Angus Campbell, Warren Miller, Philip Converse, (...) and others understood sharing data not as an ethical imperative intrinsic to social science but as a useful means to the diverse ends of financial stability, scholarly and institutional autonomy, and epistemological reproduction. I conclude that data sharing must be evaluated not only on the basis of the scientific ideals its supporters affirm, but also on the professional objectives it serves. (shrink)

It's well-known that Kant believed that intuition was central to an account of mathematical knowledge. What that role is and how Kant argues for it are, however, still open to debate. There are, broadly speaking, two tendencies in interpreting Kant's account of intuition in mathematics, each emphasizing different aspects of Kant's general doctrine of intuition. On one view, most recently put forward by Michael Friedman, this central role for intuition is a direct result of the limitations of the syllogistic logic (...) available to Kant. On this view, Kant's reasons for introducing intuition are taken to be logical or mathematical, rather than philosophical. The other tendency, which I shall try to develop here, emphasizes an epistemological or phenomenological role for intuition in mathematics arising out of what may loosely be called Kant's ‘antiformalism.’This paper, which focuses specifically on the case of geometry, falls into two parts. First, I consider Kant's discussion of intuition in the Metaphysical Exposition of the concept of space. (shrink)

Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, (...) we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

Most research on the corporate philanthropy of organizations has focused on the external benefits of such initiatives for firms, such as benefits for firm reputation and opportunities. However, many firms justify their giving, in part, due to the positive impact it has on their employees. Little is known about the effectiveness of such efforts, or how they can be managed strategically to maximize impact. We hypothesize a main effect of office-level corporate philanthropy on average employee attitudes in that office, but (...) also investigate three strategies that offices may use to enhance this impact. Testing our hypotheses with 3 years of data on attitudes of an average of 14,577 employees in 53 offices we find support for the main effect, but mixed support for the specific strategies used to enhance impact. (shrink)

Because idealizations frequently advance scientific understanding, many claim that falsehoods play an epistemic role. In this paper, we argue that these positions greatly overstate idealiza...

Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal opacity (...) problem, where greater inductive risk demands a higher level of transparency regarding the inferences the model makes. (shrink)

I argue that ML models used in science function as highly idealized toy models. If we treat ML models as a type of highly idealized toy model, then we can deploy standard representational and epistemic strategies from the toy model literature to explain why ML models can still provide epistemic success despite their lack of similarity to their targets.

Despite frequent calls by players, managers and fans, FIFA's resistance to the implementation of goal-line technology (GLT) has been well documented in national print and online media as well as FIFA's own website. In 2010, FIFA president Sepp Blatter outlined eight reasons why GLT should not be used in football. The reasons given by FIFA can be broadly separated into three categories; those dealing with the nature and value of the game of football, those related to issues of justice, and (...) those concerned with the practical implementation of GLT. This paper intends to evaluate these eight reasons in order to assess whether there are, indeed, any good arguments against GLT in football. (shrink)

This paper explores factors shaping perceptions of Greenhouse Gas Removal (GGR) amongst a range of informed stakeholders, with a particular focus on their role in future social and political systems. We find considerable ambivalence regarding the role of climate targets and incumbent interests in relation to GGR. Our results suggest that GGR is symbolic of a fundamental debate - occurring not only between separate people, but sometimes within the minds of individuals themselves - over whether technological solutions represent a pragmatic (...) or an unethical strategy. We present the idea of a 'Monsanto effect', whereby an entirely separate debate taps into deeper narratives and becomes so pervasive that it spills over into a new topic area. Our findings have significant implications for extant and emergent climate policy as they suggest that, in addition to the considerable practical challenges facing large-scale GGR deployment, there is a deeper psychological challenge in that actors are themselves conflicted about the fundamental desirability of GGR. (shrink)

This essay interprets changes in how “the political” was employed by a group of political theorists connected to the University of California, Berkeley, from the late 1950s up to the present. Initially, the political names both what students of politics ought to study and invokes a way of studying meant to have broad appeal. In later uses, however, the political takes on an evanescent quality compared to the solid realm of generality represented in earlier work. Also, only from the 1970s (...) on is the political explicitly identified with democracy. Finally, later uses of the political no longer invoke a mode of study with broad appeal but one that even most self-described political theorists fail to practice. Though the changes the author analyzes in how the political was conceived are specific to the work of a small group of theorists, they suggest a more general story about the late twentieth-century development of political theory in the American academy. (shrink)

There is little agreement about Aristotle’s philosophy of geometry, partly due to the textual evidence and partly part to disagreement over what constitutes a plausible view. I keep separate the questions ‘What is Aristotle’s philosophy of geometry?’ and ‘Is Aristotle right?’, and consider the textual evidence in the context of Greek geometrical practice, and show that, for Aristotle, plane geometry is about properties of certain sensible objects—specifically, dimensional continuity—and certain properties possessed by actual and potential compass-and-straightedge drawings qua quantitative and (...) continuous. For their part, the objects of stereometry are potential sensible three-dimensional figures qua quantitative and continuous. (shrink)

Exploring key topics in contemporary aesthetics, this work analyzes the issues that arise from the unique works of Frank Sibley (1923-1996), who developed a distinctive aesthetic theory through a number of papers published between 1955 and 1995. Here, thirteen philosophical aestheticians bring Sibley's insight into a contemporary framework, exploring the ways his ideas foster important new discussion about issues in aesthetics. This collection will interest anyone interested in philosophy, art theory, and art criticism.

The sublime has been a relatively neglected topic in recent work in philosophical aesthetics, with existing discussions confined mainly to problems in Kant's theory.1 Given the revival of interest in his aesthetic theory and the influence of the Kantian sublime compared to other eighteenth-century accounts, this focus is not surprising. Kant's emphasis on nature also sets his theory apart from other eighteenth-century theories that, although making nature central, also give explicit attention to moral character and mathematical ideas and generally devote (...) more discussion to art and artifacts than Kant did.2 Recent postmodern and poststructuralist theories of the sublime tend to concentrate on the concept in art and .. (shrink)

Explainable AI (xAI) methods are important for establishing trust in using black-box models. However, recent criticism has mounted against current xAI methods that they disagree, are necessarily false, and can be manipulated, which has started to undermine the deployment of black-box models. Rudin (2019) goes so far as to say that we should stop using black-box models altogether in high-stakes cases because xAI explanations ‘must be wrong’. However, strict fidelity to the truth is historically not a desideratum in science. Idealizations (...) – the intentional distortions introduced to scientific theories and models – are commonplace in the natural sciences and are seen as a successful scientific tool. Thus, it is not falsehood qua falsehood that is the issue. In this paper, I outline the need for xAI research to engage in idealization evaluation. Drawing on the use of idealizations in the natural sciences and philosophy of science, I introduce a novel framework for evaluating whether xAI methods engage in successful idealizations or deceptive explanations (SIDEs). SIDEs evaluates whether the limitations of xAI methods, and the distortions that they introduce, can be part of a successful idealization or are indeed deceptive distortions as critics suggest. I discuss the role that existing research can play in idealization evaluation and where innovation is necessary. Through a qualitative analysis we find that leading feature importance methods and counterfactual explanations are subject to idealization failure and suggest remedies for ameliorating idealization failure. (shrink)

This chapter places Alexander in his intellectual context, focusing on his early 1880s work, and exploring how that flows into his mature work. It considers Alexander’s views on two major late nineteenth century debates about the mind. First, what is the relationship of mind to nature? During this period, idealists were battling with realists over whether mind should be identified with nature. I argue Alexander was always a realist, and speculate on his association with Oxford realism. Second, how did our (...) minds evolve biologically? Some theorists argued for naturalism, whilst others argued for supernaturalism. I argue Alexander was always a naturalist. Despite Alexander’s realism and naturalism, he leans towards both idealism and supernaturalism, sharply distinguishing his realism from that of early analytic philosophers. The final part of the chapter explains that while Alexander’s system won few converts, it was widely admired and remains a grand edifice in the history of speculative metaphysics. (shrink)

This book explicates Leibnizian analysis as a search for conditions of intelligibility, and reconsiders his use of principles and methods as well as his account of truth in this way. Via careful reading of well-known, lesser known, and previously unedited texts, it gives a more accurate picture of his philosophical intentions, as well as the relevance of his project to contemporary debate. Two case studies are included, one concerning logic and the other arithmetic; they illustrate a theory of intelligibility that (...) takes as its central notion "possibility for thought", a notion which allows Leibniz to escape certain traps of psychologism, the pseudo-ontology of empiricism, and the empty forms of logicism, and suggests new approaches for contemporary philosophy. "In this remarkable study, Grosholz and Yakira offer a fresh interpretive and conceptual angle on Leibniz's metaphysics. [...] this study deserves high marks for its subtlety, novelty, and creative insight into Leibniz's modes of inquiry as well as for its philosophical acumen." Annals of Science. (shrink)

Recently, many have argued that there are certain kinds of abstract mathematical explanations that are noncausal. In particular, the irrelevancy approach suggests that abstracting away irrelevant causal details can leave us with a noncausal explanation. In this paper, I argue that the common example of Renormalization Group explanations of universality used to motivate the irrelevancy approach deserves more critical attention. I argue that the reasons given by those who hold up RG as noncausal do not stand up to critical scrutiny. (...) As a result, the irrelevancy approach and the line between casual and noncausal explanation deserves more scrutiny. (shrink)

This paper addresses the ways that we can understand and transform our strong emotions and how this project contributes to moral and spiritual development. To this end, I choose to think with two Tibetan Buddhist thinkers, both of whom take up the question of how passionate emotions can fit into spiritual and moral life: the famous, playful yogin Shabkar Tsodruk Rangdrol (1781–1851) and the wandering, charismatic master Patrul Rinpoche (1808–1887). Shabkar's The Autobiography of Shabkar provides excellent examples of using one's (...) own passionate emotions to connect to others and gain insight into the world. Patrul Rinpoche's The Words of My Perfect Teacher (kun bzang bla ma'i zhal lung) focuses on passionate empathy with the emotions of others. Drawing on these texts, I present a (distinctly Buddhist) conception of a passionate life and argue that passionate emotional experience is a central part of moral and spiritual development more broadly construed. (shrink)

Coordinated group behaviour can result in conflict or social cohesion. Thus having a better understanding of coordination in social groups could help us tackle some of our most challenging social problems. Historically, the most common way to study group behaviour is to break it down into sub-processes, such as cognition and emotion, then ideally manipulate them in a social context in order to predict some behaviour such as liking versus distrusting a target person. This approach has gotten us partway to (...) understanding many important collective behaviours, but I argue that making major changes in the world will require a more integrated approach. In this review, I introduce dynamic systems theory, with a focus on interpersonal systems, where all the processes we typically study in individuals, such as cognition and emotion, become intertwined between social partners over time. I focus on the concept of coordination, defined as a temporal correlation between interacting components of a system (or systems) arising due to coupling between them. Finally, I show how this perspective could be used to guide investigations of social problems such as polarisation. (shrink)

This article conceptualises theories of ethics relevant to the recognised problem of decision variability in child protection. Within this field, social workers are faced with multiple ethical imperatives when making decisions about children’s care. They must respond to justice principles concerned with duties and consequences, as well as ethical obligations created by the relational and contextual elements of each case. Recent scholarship on decision variability highlights the justice issues that arise when decisions in response to apparently similar cases differ. An (...) ethical imperative is that similar cases should be treated ‘like for like’ so that children’s and family’s rights are upheld consistently. This article contends that ethical concepts relating to both universalist duties such as respect for persons, extended by the concept of interactive universalism, and contextual responses based on an ethic of care, help theorise the complexities of ethical decisions in child protection. These concepts develop a nuanced understanding of the ways social workers resist risk discourses, may make decisions reflecting the participation of service users, and contextual evaluations of risk based on understanding service user’s life histories. Understanding this combination helps explain the reasons behind variability, and evaluate the moral acceptability or otherwise of apparently variable decisions. (shrink)

This book provides a systematic, philosophical account of the main issues that pertain to the aesthetics of modified environments, as well as new insights concerning the generation and appreciation of landscapes and environments that fall between nature and culture, including gardens and ecologically restored landscapes.

Ontological separation plays a key role in Aristotle’s metaphysical project: substances alone are ontologically χωριστόν. The standard view identifies Aristotelian ontological separation with ontological independence, so that ontological separation is a non-symmetric relation. I argue that there is strong textual evidence that Aristotle employs an asymmetric notion of separation in the Metaphysics—one that involves the dependence of other entities on the independent entity. I argue that this notion allows Aristotle to prevent the proliferation of substance-kinds and thus to secure the (...) unity of his metaphysical system. (shrink)

Political ethics, a subfield of applied ethics, is concerned with normative questions about voters, politicians, lobbyists, and other individual political agents. Compared with other fields in applied ethics political ethics has not developed into an area of intense interest in academic philosophy. Debates over the main questions in political ethics occur in mainstream news, on social media, in living rooms and neighborhood bars, etc., but for the most part have not bled over into the pages of philosophy journals and books. (...) This volume aims to fill this gap in the philosophical literature. It contains seventeen original papers by a diverse range of leading scholars on central questions in political ethics. (shrink)