Issues of reliability are claiming center-stage in the epistemology of machine learning. This paper unifies different branches in the literature and points to promising research directions, whilst also providing an accessible introduction to key concepts in statistics and machine learning – as far as they are concerned with reliability.

In this chapter, we address the roles that exemplars might play in a comprehensive response to epistemic injustice. Fricker defines epistemic injustices as harms people suffer specifically in their capacity as (potential) knowers. We focus on testimonial epistemic injustice, which occurs when someone’s assertoric speech acts are systematically met with either too little or too much credence by a biased audience. Fricker recommends a virtue­theoretic response: people who do not suffer from biases should try to maintain their disposition towards naive (...) testimonial justice, and those who find themselves already biased should cultivate corrective testimonial justice by systematically adjusting their credence in testimony up or down depending on whether they are hearing from someone whom they may be biased against or in favor of. We doubt that the prominent admiration­emulation model of exemplarism will be much use in this connection, so we propose two ways of learning from negative exemplars to better conduct one’s epistemic affairs. In the admiration­emulation model, both the identification of what a virtue is and the cultivation of virtues identified thusly proceed through the admiration of virtuous exemplars. We show that this model has serious flaws and argue for two alternatives: the envy­agonism model and the ambivalence­avoidance model. (shrink)

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)

Trust makes cooperation possible. It enables us to learn from others and at a distance. It makes democratic deliberation possible. But it also makes us vulnerable: when we place our trust in another’s word, we are liable to be deceived—sometimes intentionally, sometimes unintentionally. Our evolved mechanisms for deciding whom to trust and whom to distrust mostly rely on face-to-face interactions with people whose reputation we can both access and influence. Online, these mechanisms are largely useless, and the institutions that might (...) supplant them need to have their own trustworthiness verified. Currently, those institutions are mostly corporations such as Facebook and Twitter, which have checkered track records at best. To make matters worse, the social media sector is a natural monopoly, and companies like Facebook have shown that they are willing to use their market power unscrupulously. For these reasons, we argue that social media should be treated like other natural monopolies: it should either be nationalized, highly regulated, or broken up through antitrust legal actions. (shrink)

What do humility, intellectual humility, and open-mindedness mean in the context of inter-group conflict? We spend most of our time with ingroup members, such as family, friends, and colleagues. Yet our biggest disagreements —— about practical, moral, and epistemic matters —— are likely to be with those who do not belong to our ingroup. An attitude of humility towards the former might be difficult to integrate with a corresponding attitude of humility towards the latter, leading to smug tribalism that masquerades (...) as genuine virtue. These potentially conflicting priorities have recently come to the fore because “tribal epistemology” has so thoroughly infected political and social discourse. Most research on these dispositions focuses on individual traits and dyadic peer-disagreement, with little attention to group membership or inter-group conflict. In this chapter, we dilate the social scale to address this pressing philosophical and social problem. (shrink)

Recent work by Kahan et al. (2017) on the psychology of motivated numeracy in the context of intracultural disagreement suggests that people are less likely to employ their capabilities when the evidence runs contrary to their political ideology. This research has so far been carried out primarily in the USA regarding the liberal–conservative divide over gun control regulation. In this paper, we present the results of a modified replication that included an active reasoning intervention with Western European participants regarding both (...) the hierarchy–egalitarianism and individualism–collectivism divides over immigration policy (n = 746; considerably less than the preregistration sample size). We reproduce the motivated numeracy effect, though we do not find evidence of increased polarization of high-numeracy participants. (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.

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)

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)

Scientists appeal to models when explaining phenomena. Such explanations are often dubbed model explanations or model-based explanations. But what are the precise conditions for ME? Are ME special explanations? In our paper, we first rebut two definitions of ME and specify a more promising one. Based on this analysis, we single out a related conception that is concerned with explanations that are induced from working with a model. We call them ‘model-induced explanations’. Second, we study three paradigmatic cases of alleged (...) ME. We argue that all of them are MIE, upon closer examination. Third, we argue that this undermines the building consensus that model explanations are special explanations that, e.g., challenge the factivity of explanation. Instead, it suggests that what is special about models in science is the epistemology behind how models induce explanations. (shrink)

Knowledge is power. Knowledge about human psychology is increasingly being produced using natural language processing (NLP) and related techniques. The power that accompanies and harnesses this knowledge should be subject to ethical controls and oversight. In this chapter, we address the ethical pitfalls that are likely to be encountered in the context of such research. These pitfalls occur at various stages of the NLP pipeline, including data acquisition, enrichment, analysis, storage, and sharing. We also address secondary uses of the results (...) and tools developed through psychometric NLP, such as profit-driven targeted advertising, political campaigns, and domestic and international psyops. Along the way, we reflect on potential ethical guidelines and considerations that may help researchers navigate these pitfalls. (shrink)

There is considerable agreement among epistemologists that certain abilities are constitutive of understanding-why. These abilities include: constructing explanations, drawing conclusions, and answering questions. This agreement has led epistemologists to conclude that understanding is a kind of know-how. However, in this paper, I argue that the abilities constitutive of understanding are the same kind of cognitive abilities that we find in ordinary cases of knowledge-that and not the kind of practical abilities associated with know-how. I argue for this by disambiguating between (...) different senses of abilities that are too often lumped together. As a consequence, non-reductionists about understanding—those that claim that understanding-why is not reducible to knowledge-that—need to find another way to motivate the view. In the end, the fact that abilities are constitutive of understanding-why does not give us reason to conclude that understanding is a kind of know-how. (shrink)

In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half the (...) accounts engaging with this topic are pro-vaccine, while the other half are con-vaccine. We also show that these two camps rarely engage with one another, and that the con-vaccine camp has greater epistemic reach and receptivity than the pro-vaccine camp. In light of these findings, we question whether testimonial networks as they are currently constituted on popular fora such as Twitter are living up to their promise of delivering the wisdom of crowds. We conclude by pointing to directions for further research in digital social epistemology. (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)

The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence; and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper reports (...) on an open-source reimplementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as evidence of interdisciplinary diversity in an academic communications network. (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)

Epistemologists have addressed a variety of modal epistemic standings, such as sensitivity, safety, risk, and epistemic virtue. These concepts mark out the ways that beliefs can fail to track the truth, articulate the conditions needed for knowledge, and indicate ways to become a better epistemic agent. However, it is our contention that current ways of carving up epistemic modality ignore the complexities that emerge when individuals are embedded within a community and listening to a variety of sources, some of whom (...) are intentionally engaged in deception or bullshit. In this context we want our beliefs to be secure. In this paper we translate the epistemic modal standing of safety into a framework appropriate for social epistemology and argue for the importance of epistemic network-security and belief-security to be added to this framework. We discuss the virtues that are salient for promoting network-security and the vices that undermine it. In particular, we highlight monitoring, adjusting, and restructuring virtues and vices. Importantly, each of these vices can be other-regarding or self-regarding. For example, one tempting way of dealing with insecurity within a network is to completely cut oneself off from biased sources. However, we argue that this is a self-regarding restructuring vice because it closes oneself off from opportunities for epistemic growth. By contrast, an other-regarding restructuring vice would be to cut off others from hearing from sources of information that would make their network more secure. (shrink)

People have always shared information through chains and networks of testimony. It’s arguably part of what makes us human and enables us to live in cooperative communities with populations greater than the Dunbar number. The invention of the Internet and the rise of social media have turbo-charged our ability to share information. In this chapter, we develop a normative framework for sharing information online. This framework takes into account both ethical and epistemic considerations that are intertwined in typical cases of (...) online testimony. We argue that, while the current state of affairs is not entirely novel, recent technological developments call for a rethinking of the norms of testimony, as well as the articulation of a set of virtuous dispositions that people would do well to cultivate in the capacity as conduits (not just sources or receivers) of information. (shrink)

To what extent do differences in who we are predict differences in courage? We propose to de-velop a measure of the virtue-relevant self, which is composed of self-conception, social roles, virtue-relevant values, and personality traits. We will then conduct three studies using this meas-ure to determine the extent to which these various components of the virtue-relevant self pre-dict the types of acts people consider courageous as well as the willingness of people to engage in courageous acts themselves. We believe that (...) individual differences in each of these compo-nents – that is, the content of the virtue-relevant self – will correlate with differences in first, how people rate actions that they themselves have undertaken in the past; second, how people rate actions that other people have taken; and third, the willingness of people to take certain kinds of courageous action. If found, these relations will have broader implications for the self and virtues by indicating that traits of the self beyond character traits affect both the conception of virtuous behavior and virtuous behavior itself. (shrink)

The use of neuroscientific evidence in criminal trials has been steadily increasing. Despite progress made in recent decades in understanding the mechanisms of psychological and behavioral functioning, neuroscience is still in an early stage of development and its potential for influencing legal decision-making is highly contentious. Scholars disagree about whether or how neuroscientific evidence might impact prescriptions of criminal culpability, particularly in instances in which evidence of an accused’s history of mental illness or brain abnormality is offered to support a (...) plea of not criminally responsible. In the context of these debates, philosophers and legal scholars have identified numerous problems with admitting neuroscientific evidence in legal contexts. To date, however, less has been said about the challenges of evaluating the evidence upon which integrative mechanistic explanations that bring together evidence from different areas of neuroscience are based. As we explain, current criteria for evaluating such evidence to determine its admissibility in legal contexts are inadequate. Appealing to literature in the philosophy of scientific experimentation and theoretical work in the social, cognitive and behavioral sciences, we lay the groundwork for reforming these criteria and identify some of the implications of modifying them. (shrink)

One of the main worries with machine learning model opacity is that we cannot know enough about how the model works to fully understand the decisions they make. But how much is model opacity really a problem? This chapter argues that the problem of machine learning model opacity is entangled with non-epistemic values. The chapter considers three different stages of the machine learning modeling process that corresponds to understanding phenomena: (i) model acceptance and linking the model to the phenomenon, (ii) (...) explanation, and (iii) attributions of understanding. At each of these stages, non-epistemic values can, in part, determine how much machine learning model opacity poses a problem. (shrink)

This chapter responds to Michael Tamir and Elay Shech’s chapter “Understanding from Deep Learning Models in Context.”.

People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation or rationale for these decisions. There are different purposes that explanations can have, such as increasing user trust in the system or allowing users to contest the decision. One specific purpose that is gaining more traction is algorithmic recourse. We first pro- pose that recourse should be viewed as a recommendation problem, not an explanation problem. Then, we argue that the capability (...) approach provides plausible and fruitful ethical standards for re- course. We illustrate by considering the case of diversity constraints on algorithmic recourse. Finally, we discuss the significance and implications of adopting the capability approach for algorithmic recourse research. (shrink)

Talk at the Philosophy [in:of:for:and] Digital Knowledge Infrastructures online workshop (08/09/2022).

The Free Market and the Human Condition explores the human condition as situated in the free market from a variety of academic disciplines. By relying upon contributors who approach the topic from their respective disciplines, the book provides an accumulated picture of the free market, the human condition, and the relationship between them.

To what extent does payment method (managed care vs. out of pocket) influence the likelihood that an independent practitioner will assign a Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 1994) diagnosis to a client? When a practitioner does diagnose, how does payment method influence the specific choice of a diagnostic category? Independent practitioners responded to a vignette describing a fictitious client with symptoms of depression or anxiety. In half of the vignettes, the fictitious client intended to pay (...) via managed care; in the other half, the fictitious client intended to pay out of pocket. Payment method had a very significant impact on diagnosis such that relative to out-of-pocket clients, managed care clients were much more likely to receive diagnoses and more likely to receive adjustment disorder diagnoses in particular. We discuss implications involving informed consent and other ethical issues. (shrink)

Bioethicists influence practices and policies in medicine, science, and public health. However, little is known about bioethicists’ views. We recently surveyed 824 U.S. bioethicists on a wide range of ethical issues, including topics related to abortion, medical aid in dying, and resource allocation, among others. We also asked bioethicists about their demographic, religious, academic, and professional backgrounds. We find that bioethicists’ normative commitments predict their views on bioethical issues. We also find that, in important ways, bioethicists’ views do not align (...) with those of the U.S. public: for instance, bioethicists are more likely than members of the public to think abortion is ethically permissible but are less likely to believe compensating organ donors is. Our demographic results indicate the field of bioethics is far less diverse than the U.S. population—less diverse even than other academic disciplines—suggesting far more work needs to be done to build an inclusive field. (shrink)

The last decade has witnessed renewed attempts to regulate the conduct of transnational corporations. One way to do this is via global ethics codes. This paper examines seven such codes (the Sullivan Principles, UN Center for Transnational Corporations’ Draft Code, OECD Guidelines, ILO's Tripartite Declaration, the Caux Round Table Principles for Business, Global Compact, and the United Nations Norms) to determine their coverage of human rights and concludes that if these initiatives succeed, particularly the more recent codes, transnational corporations (...) may emerge as a major force in promoting human rights globally. (shrink)

"This book is a succinct, pedagogically designed introduction. As classroom text, Sullivan's work is heady with vibrant debate and slim heuristics; her intellectual clarity is stunning." - Choice A Critical Introduction to Queer Theory explores the ways in which sexuality, subjectivity and sociality have been discursively produced in various historical and cultural contexts. The book begins by putting gay and lesbian sexuality and politics in historical context and demonstrates how and why queer theory emerged in the West in the (...) late twentieth century. Sullivan goes on to provide a detailed overview of the complex ways in which queer theory has been employed, covering a diversity of key topics including: race, sadomasochism, straight sex, fetishism, community, popular culture, transgender, and performativity. Each chapter focuses on a distinct issue or topic, provides a critical analysis of the specific ways in which it has been responded to by critics (including Freud, Foucault, Derrida, Judith Butler, Jean-Luc Nancy, Adrienne Rich and Laura Mulvey), introduces key terms, and uses contemporary cinematic texts as examples. (shrink)

Emily Brady provides a systematic account of aesthetics in relation to the natural environment, offering a critical understanding of what aesthetic appreciation ...

Should you care less about your distant future? What about events in your life that have already happened? How should the passage of time affect your planning and assessment of your life? Most of us think it is irrational to ignore the future but harmless to dismiss the past. But this book argues that rationality requires temporal neutrality.

For early modern metaphysician Anne Conway, the world comprises creatures. In some sense, Conway is a monist about creatures: all creatures are one. Yet, as Jessica Gordon-Roth has astutely pointed out, that monism can be understood in very different ways. One might read Conway as an ‘existence pluralist’: creatures are all composed of the same type of substance, but many substances exist. Alternatively, one might read Conway as an ‘existence monist’: there is only one created substance. Gordon-Roth has done the (...) scholarship a great favor by illuminating these issues in Conway. However, this article takes issue with Gordon-Roth's further view that Conway ‘oscillates’ between the extremes of existence pluralism and monism. In its place, I argue we should read Conway as a priority monist: the whole of creation is ontologically prior to its parts. (shrink)

Dōgen has been described as a social reformer based on his more “enlightened” attitude towards women, inviting women students into his sangha and advocating for more egalitarian views of gender (Eido Frances Carney, Receiving the Marrow: Teachings on Dōgen by Soto Zen Women Priests (2012), p. xi). In this chapter, I describe how contemporary Western Zen women and their allies have understood Dōgen’s texts as a tool of personal and social transformation through examination of work by Zen practitioners such as (...) Greenwood’s Bow First (2018), Carney’s Receiving the Marrow (2012), Schireson’s Zen Women (2009), and Glassman and Fields’ Instructions to the Cook (1996). In particular, I posit that Zen women have expressed the practical nature of Dōgen’s philosophy for contemporary non-monastics, showing how to de-center oneself through full participation in the activity of the world. This is in contrast to self-centered preoccupation with individual enlightenment or spiritual attainment. Paradoxically, it is the fact that women have often been confined to social roles that prevent their separation from the minutiae of everyday life that allows them to embody Dōgen’s dictum to “forget the self and be actualized by myriad things.”. (shrink)

Starting with Goffman and ending with Foucault -- The spacetimeplace "thing" -- Time goes vertical; space yields in -- What Marx brought in from the cold : reproduction -- Bringing in the body -- Bring in geography.

Viewed this way, the texts yield striking examples of language and notation that are irreducibly ambiguous and productive because they are ambiguous.

There is an undeniable tendency to dismiss women’s sexual assault allegations out of hand. However, this tendency is not monolithic—allegations that black men have raped white women are often met with deadly seriousness. I argue that contemporary rape culture is characterized by the interplay between rape myths that minimize rape, and myths that catastrophize rape. Together, these two sets of rape myths distort the epistemic resources that people use when assessing rape allegations. These distortions result in the unjust exoneration of (...) people we cannot conceive of as monstrous, while making it too easy to believe that some marginalized people could be rapists. I also argue that rape myths enable a novel kind of epistemic injustice. This injustice concerns how our assessments of trustworthiness and our assessments of plausibility interact. I argue that rape myths can result in runaway credibility deflations that can explain both why people fail to believe most women, and also why people may unjustly believe false allegations that white women have been raped by black men. (shrink)

Machiavelli's ambiguous treatment of religion has fueled a contentios and long-standing debate among scholars. Whereas some insist that Machiavelli is a Christian, others maintain he is a pagan. Sullivan mediates between these divergent views by arguing that he is neither but that he utilizes elements of both understandings arrayed in a wholly new way. She develops her argument by distinguishing among the three Romes that can be understood as existing in Machiavelli's political thought: the first is the Rome of (...) the Christian era, dominated by the pope; the second is the republican Rome of pagan times, which Machiavelli praises; and the third is an idealized Rome that is neither entirely pagan nor entirely Christian. Sullivan draws primarily from the Florentine Histories, The Prince, and the Discourses to offer a unique study of Machiavelli's political thought. Her examination of Machiavelli's three Romes will engage readers concerned with political thought, philosophy of the state, and Machiavelli. (shrink)

Empirical psychology documents widespread evidence of bias in the ways that people select, interpret, and selectively interpret evidence in forming and revising their beliefs. These biases can function to create and perpetuate epistemologies of ignorance. I argue that virtue epistemology can help us explain what goes epistemically wrong in these cases, and can offer positive advice, orienting us toward ways to right it. In particular, I defend the virtue approach from epistemic situationist worries about the empirical plausibility of individual agents' (...) ability to develop corrective virtues. I argue that situational virtues are genuine responsibilist virtues, and are one of the tools at our disposal for overcoming epistemologies of ignorance. (shrink)

0. My aims in this paper are largely expository: I am more interested in presenting the picture theory than deciding its truth. Even so, I hope that the arguments by which I develop the theory will do something to support it, since I believe that what I will present as Wittgenstein's view is indeed the truth. This is not an admission of insanity, though some things that have been thought intrinsic to the picture theory are things it would be insane (...) to believe. So clearly the view I will present, when compared to the most embracing interpretations, is a partial and selective one. It would be another kind of madness, one I am just as eagre to disown, to suppose that my own favoured selection is the only possible one. That is pretty well the last remark in this paper about other commentators. I trust my reticence entitles me to be presumed catholic until proven nonconformist. (shrink)

Quantum mechanics is an extraordinarily successful scientific theory. But more than 100 years after it was first introduced, the interpretation of the theory remains controversial. This Element introduces some of the most puzzling questions at the foundations of quantum mechanics and provides an up-to-date and forward-looking survey of the most prominent ways in which physicists and philosophers of physics have attempted to resolve them. Topics covered include nonlocality, contextuality, the reality of the wavefunction and the measurement problem. The discussion is (...) supplemented with descriptions of some of the most important mathematical results from recent work in quantum foundations, including Bell's theorem, the Kochen-Specker theorem and the PBR theorem. (shrink)

Belief polarization occurs when subjects who disagree about some matter of fact are exposed to a mixed body of evidence that bears on that dispute. While we might expect mutual exposure to common evidence to mitigate disagreement, since the evidence available to subjects comes to consist increasingly of items they have in common, this is not what happens. The subjects’ initial disagreement becomes more pronounced because each person increases confidence in her antecedent belief. Kelly aims to identify the mechanisms that (...) underlie this phenomenon and assess whether these processes undermine the justification of polarized beliefs. He concludes that given evidentialism, justification is not undermined by the polarizing mechanisms. I take on board Kelly’s description of the polarizing mechanisms, but challenge his conclusion. I argue that on plausible versions of evidentialism, the beliefs that result from these routes to polarization are not justified. (shrink)

The laws of nature have come a long way since the time of Newton: quantum mechanics and relativity have given us good reasons to take seriously the possibility of laws which may be non-local, atemporal, ‘all-at-once,’ retrocausal, or in some other way not well-suited to the standard dynamical time evolution paradigm. Laws of this kind can be accommodated within a Humean approach to lawhood, but many extant non-Humean approaches face significant challenges when we try to apply them to laws outside (...) the time evolution picture. Thus for proponents of non-Humean approaches to lawhood there is a clear need for a novel non-Humean account which is capable of accommodating these sorts of laws. In this paper we propose such an account, characterizing lawhood in terms of constraints, which are understood as a form of modal structure. We demonstrate that our proposed realist account can indeed accommodate a large variety of laws outside the time evolution paradigm, and describe some possible applications to important philosophical problems. (shrink)