Philosophical arguments regarding academic freedom can sometimes appear removed from the real conflicts playing out in contemporary universities. This paper focusses on a set of issues at the front line of these conflicts, namely, questions regarding sex, gender and gender identity. We document the ways in which the work of academics has been affected by political activism around these questions and, drawing on our respective disciplinary expertise as a sociologist and a philosopher, elucidate the costs of curtailing discussion on fundamental (...) demographic and conceptual categories. We discuss some philosophical work that addresses the conceptual distinction between academic freedom and free speech and explore how these notions are intertwined in significant ways in universities. Our discussion elucidates and emphasises the educational costs of curtailing academic freedom. (shrink)

The UK Government's Higher Education (Freedom of Speech) Bill is currently progressing through Parliament. The bill is designed to strengthen free speech and academic freedom in higher education, in response to what former Education Secretary Gavin Williamson describes as ‘the rise of intolerance and cancel culture upon our campuses’. But is there really a crisis of academic freedom in British universities?To see that there is, say Judith Suissa and Alice Sullivan, we need only look at the contemporary reality (...) of suppression of debate on sex and gender. The evidence they catalogue of suppression of research, of blacklisting, harassment and smear campaigns, of no-platforming, disinvitations and shutting down of events, is incontrovertible. The recent experience of scholars and students wishing to discuss the material reality and political salience of sex makes complacency about academic freedom a luxury we cannot afford.Suissa and Sullivan set out a powerful argument for the role of academic freedom in pursuing truth within the academy and developing democracy beyond it. They effectively counter attempts to narrow the scope of academic freedom so as to render it compatible with no-platforming. And they lay out a series of practical steps administrators can take to ensure that universities are places where an expansive and pluralistic intellectual climate prevails.This is a timely and compelling intervention in a vexed but urgent public debate. For their clear-sighted diagnosis of where and how academic freedom has been eroded in our universities, and for their judicious account of what must be done to rebuild it, Suissa and Sullivan deserve a wide and attentive hearing. (shrink)

Companion friendship is a paradigm example of a trusting relationship and is a central good in human life. These friendships are also complex; navigating this complexity carries risk. Philosophical work has largely overlooked questions about how friends might navigate this morally risky space in ways that protect and develop their relationship over time. More specifically, although it is generally accepted that friendship involves acting to promote the well-being of one’s friend, ethical analysis of such interpersonal action has not addressed questions (...) such as: How does acting for a friend’s well-being follow from and affect the trust within these relationships? What are the risks of acting for a friend’s wellbeing? Do genuine but unsuccessful attempts to promote a friend’s well-being, that bring about a rupture to the trust, necessarily cause lasting damage to trusting relationships? If not, why not? We argue that getting it wrong when acting for a friend’s well-being can provide an opportunity to protect and develop the trusting relationship, even while it causes harm to one’s friend and temporarily damages the relationship. (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)

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)

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)

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)

In this paper, I take issue with the widespread philosophical consensus that only victims of wrongdoing are in a position to forgive it. I offer both a defense and a philosophical account of third-party forgiveness. I argue that when we deny this possibility, we misconstrue the complex, relational nature of wrongdoing and its harms. We also risk over-moralizing the victim's position and overlooking the roles played by secondary participants. I develop an account of third-party forgiveness that both demonstrates how successful, (...) morally legitimate, acts of third-party forgiveness are possible and simultaneously highlights the particular moral risks that would-be third-party forgivers face. I conclude insofar as they are appropriately grounded and cautiously bestowed, at least some acts of third-party forgiveness contribute significantly to post-conflict repair. (shrink)

The development of personal technologies has recently shifted from devices that seek to capture user attention to those that aim to improve user well-being. Digital wellness technologies use the same attractive qualities of other persuasive apps to motivate users towards behaviors that are personally and socially valuable, such as exercise, wealth-management, and meaningful communication. While these aims are certainly an improvement over the market-driven motivations of earlier technologies, they retain their predecessors’ focus on influencing user behavior as a primary metric (...) of success. Digital wellness technologies are still persuasive technologies, and they do not evade concerns over whether their influence on users is ethically justified. In this paper, we describe several ethical frameworks with which to assess the justification of digital wellness technologies’ influence on users. We propose that while some technologies help users to complete tasks and satisfy immediate preferences, other technologies encourage users to reflect on the values underlying their habits and teach them to evaluate their lives’ competing demands. While the former approach to digital wellness technology is not unethical, we propose that the latter approach is more likely to lead to skillful user engagement with technology. (shrink)

Descriptive accounts of the nature of explanation in neuroscience and the global goals of such explanation have recently proliferated in the philosophy of neuroscience and with them new understandings of the experimental practices of neuroscientists have emerged. In this paper, I consider two models of such practices; one that takes them to be reductive; another that takes them to be integrative. I investigate those areas of the neuroscience of learning and memory from which the examples used to substantiate these models (...) are culled, and argue that the multiplicity of experimental protocols used in these research areas presents specific challenges for both models. In my view, these challenges have been overlooked largely because philosophers have hitherto failed to pay sufficient attention to fundamental features of experimental practice. I demonstrate that when we do pay attention to such features, evidence for reduction and integrative unity in neuroscience is simply not borne out. I end by suggesting some new directions for the philosophy of neuroscience that pertain to taking a closer look at the nature of neuroscientific experiments. (shrink)

This text offers major re-evaluation of Wittgenstein's thinking. It is a collection of essays that presents a significantly different portrait of Wittgenstein. The essays clarify Wittgenstein's modes of philosophical criticism and shed light on the relation between his thought and different philosophical traditions and areas of human concern. With essays by Stanley Cavell, James Conant, Cora Diamond, Peter Winch and Hilary Putnam, we see the emergence of a new way of understanding Wittgenstein's thought. This is a controversial collection, with essays (...) by highly regarded Wittgenstein scholars that may change the way we look at Wittgenstein's body of work. (shrink)

Trust is a core feature of the physician-patient relationship, and risk is central to trust. Patients take risks when they trust their providers to care for them effectively and appropriately. Not all patients take these risks: some medical relationships are marked by mistrust and suspicion. Empirical evidence suggests that some patients and families of color in the United States may be more likely to mistrust their providers and to be suspicious of specific medical practices and institutions. Given both historical and (...) ongoing oppression and injustice in American medical institutions, such mistrust can be apt. Yet it can also frustrate patient care, leading to family and provider distress. In this paper, I propose one way that providers might work to reestablish trust by taking risks in signaling their own trustworthiness. This interpersonal step is not meant to replace efforts to remedy systemic injustice, but is an immediate measure for addressing mistrust in occurrent cases. (shrink)

The Morris water maze has been put forward in the philosophy of neuroscience as an example of an experimental arrangement that may be used to delineate the cognitive faculty of spatial memory (e.g., Craver and Darden, Theory and method in the neurosciences, University of Pittsburgh Press, Pittsburgh, 2001; Craver, Explaining the brain: Mechanisms and the mosaic unity of neuroscience, Oxford University Press, Oxford, 2007). However, in the experimental and review literature on the water maze throughout the history of its use, (...) we encounter numerous responses to the question of “what” phenomenon it circumscribes ranging from cognitive functions (e.g., “spatial learning”, “spatial navigation”), to representational changes (e.g., “cognitive map formation”) to terms that appear to refer exclusively to observable changes in behavior (e.g., “water maze performance”). To date philosophical analyses of the water maze have not been directed at sorting out what phenomenon the device delineates nor the sources of the different answers to the question of what. I undertake both of these tasks in this paper. I begin with an analysis of Morris’s first published research study using the water maze and demonstrate that he emerged from it with an experimental learning paradigm that at best circumscribed a discrete set of observable changes in behavior. However, it delineated neither a discrete set of representational changes nor a discrete cognitive function. I cite this in combination with a reductionist-oriented research agenda in cellular and molecular neurobiology dating back to the 1980s as two sources of the lack of consistency across the history of the experimental and review literature as to what is under study in the water maze. (shrink)

Historically left to the margins, the topics of imagination and creativity have gained prominence in philosophy of science, challenging the once dominant distinction between ‘context of discovery’ and ‘context of justification’. The aim of this chapter is to explore imagination and creativity starting from issues within contemporary philosophy of science, making connections to these topics in other domains along the way. It discusses the recent literature on the role of imagination in models and thought experiments, and their comparison with fictions. (...) It then turns to the importance of constraints on imaginings in the scientific domain, as well as whether constraints can hinder creativity. The second part of the paper focuses on the social dimensions of science. It considers imagination and creativity of scientific communities, asks whether the institution of science promotes creativity (and whether we want it to) or if it encourages conservativeness, and ends with a reflection on the politics of imagination and creativity in science. (shrink)

In this chapter I investigate the kinds of changes that psychiatric kinds undergo when they become explanatory targets of areas of sciences that are not “mature” and are in the early stages of discovering mechanisms. The two areas of science that are the targets of my analysis are cognitive neuroscience and cognitive neurobiology.

It is widely thought that functionalism and the qualia theory are better positioned to accommodate the ‘affective’ aspect of pain phenomenology than representationalism. In this paper, we attempt to overturn this opinion by raising problems for both functionalism and the qualia theory on this score. With regard to functionalism, we argue that it gets the order of explanation wrong: pain experience gives rise to the effects it does because it hurts, and not the other way around. With regard to the (...) qualia theory, we argue that it fails to capture the sense in which pain 's affective phenomenology rationalises various bodily-directed beliefs, desires, and behaviours. Representationalism, in contrast, escapes both of these problems: it gets the order of explanation right and it explains how pain 's affective phenomenology can rationalise bodily-directed beliefs, desires, and behaviours. For this reason, we argue that representationalism has a significant advantage in the debates about pain 's affective phenomenology. We end the paper by examining objections, including the question of what representationalists should say about so-called ‘disassociation cases’, such as pain asymbolia. (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)

In the literature on expert trust, it is often assumed that track records are the gold standard for evaluating expertise, and the difficulty of expert identification arises from either the lack of access to track records, or the inability to assess them. I show, using a computational model, that even in an idealized environment where agents have a God’s eye view on track records, they may fail to identify experts. Under plausible conditions, selecting testimony based on track records ends up (...) reducing overall accuracy, and preventing the community from identifying the real experts. (shrink)

The past decade has witnessed a growing awareness of conceptual and methodological hurdles within psychology and neuroscience that must be addressed for taxonomic and explanatory progress in understanding psychological functions to be possible. In this paper, I evaluate several recent knowledge-building initiatives aimed at overcoming these obstacles. I argue that while each initiative offers important insights about how to facilitate taxonomic and explanatory progress in psychology and neuroscience, only a “coordinated pluralism” that incorporates positive aspects of each initiative will have (...) the potential for success. (shrink)

Monothematic delusions are bizarre beliefs which are often accompanied by highly anomalous experiences. For philosophers and psychologists attracted to the exploration of mental phenomena in an evolutionary framework, these beliefs represent—notwithstanding their rarity—a puzzle. A natural idea concerning the biology of belief is that our beliefs, in concert with relevant desires, help us to navigate our environments, and so, in broad terms, an evolutionary story of human belief formation will likely insist on a function of truth (true beliefs tend to (...) lead to successful action). Monothematic delusions are systematically false and often harmful to the proper functioning of the agent and the navigation of their environment. So what are we to say? A compelling thought is that delusions are _malfunctioning_ beliefs. Compelling though it may be, I argue against this view on the grounds that it does not pay due attention to the circumstances in which monothematic delusions are formed, and fails to establish _doxastic_ malfunction. I argue instead that monothematic delusions are _misfunctioning_ beliefs, that is, the result of mechanisms of belief formation operating in historically abnormal conditions. Monothematic delusions may take their place alongside a host of other strange beliefs formed in difficult epistemic conditions, but for which no underlying doxastic malfunction is in play. (shrink)

Do neurobiologists aim to discover natural kinds? I address this question in this chapter via a critical analysis of classification practices operative across the 43-year history of research on long-term potentiation. I suggest that this 43-year history supports the idea that the structure of scientific practice surrounding LTP research has remained an obstacle to the discovery of natural kinds as philosophers of science have traditionally conceived them.

We argue that the trend toward providing users with feasible and actionable explanations of AI decisions—known as recourse explanations—comes with ethical downsides. Specifically, we argue that recourse explanations face several conceptual pitfalls and can lead to problematic explanation hacking, which undermines their ethical status. As an alternative, we advocate that explanations of AI decisions should aim at understanding.

Should philosophers be more polite to one another? The topic of good manners—or, more grandly, civility—has enjoyed a recent renaissance in philosophical circles, but little of the formal discussion has been self-directed: that is, it has not examined the virtues and vices of polite and impolite philosophizing, in particular. This is an oversight; practices of rudeness do rather a lot of work in enacting distinctly philosophical modes of engagement, in ways that both shape and detract from the aims of our (...) discipline. If we fail to recognize practices of rudeness, we become vulnerable to some of... (shrink)

Is there a role for aesthetic judgements in science? One aspect of scientific practice, the use of thought experiments, has a clear aesthetic dimension. Thought experiments are creatively produced artefacts that are designed to engage the imagination. Comparisons have been made between scientific (and philosophical) thought experiments and other aesthetically appreciated objects. In particular, thought experiments are said to share qualities with literary fiction as they invite us to imagine a fictional scenario and often have a narrative form (Elgin 2014). (...) But philosophical discussions of aesthetics in science have focused mainly on the epistemic role of beauty and elegance when it comes to theories and mathematical proofs, and thought experiments have been widely overlooked. My aim in this chapter is to address how the aesthetic choices scientists make in the design of a thought experiment contribute to its function: to communicate, convince, or explain a theory or phenomenon. A key issue is whether any aesthetic features in science provide anything beyond catching our attention, or are at best, a mere heuristic aid. I respond to accounts that argue this way and show how formulation is important in scientific thought experiments and, similarly to literary fictions, there is more than one way of interpreting a thought experiment scenario. I end by considering which literary examples are most appropriate when making comparisons with thought experiments. As a result, the difference between representations in art and science raised in current discussions is not as stark as it has been made out to be, and science is a more heterogeneous practice than has been allowed. Part of the value of thought experiments in scientific practice includes the qualities they share with literary works. (shrink)

How ought we to evaluate and respond to expressions of anger and resentment? Can philosophical analysis of resentment as the emotional expression of a moral claim help us to distinguish which resentments ought to be taken seriously? Philosophers have tended to focus on what I call ‘reasonable’ resentments, presenting a technical, narrow account that limits resentment to the expression of recognizable moral claims. In the following paper, I defend three claims about the ethics and politics of resentment. First, if we (...) care about socially just processes of reconciliation, we have good reason to pay attention to the logic of resentments. Second, the account philosophers offer of resentment – its distinctive features, aims, rationality, and gratification – will affect the conclusions we draw about which actual resentments to take seriously, which aspects of resentful claims need addressing, and what it means to address and repair them. In contesting definitions of resentment, I argue, we do more than simply perform housekeeping in philosophical taxonomies of emotion. Restricting our understanding to essentially ‘moral’ cases may cause us to lose sight of expressly political resentments. Instead, I argue, a plausible account of resentment must acknowledge that we resent violations and threats that are not necessarily self-pertaining, may not be expressible as individual, discrete injuries, and cannot always be construed as moral threats. Second, given the dependence of moral judgments on a broader horizon of moral possibility, philosophical standards of ‘reasonable’ or ‘appropriate’ resentment cannot avoid being politically charged. Thus, the widely accepted account of ‘reasonable’ resentment cannot make philosophical sense of the most interesting and perplexing cases. Ironically, a theoretical measure designed to revalue emotional expressions of moral protest may result in the exclusion and silencing of those with the most reasons to protest. (shrink)

We can formulate an argument against AI creativity from agency. By some accounts, creativity requires agency, and agency is, many think, not possible for AI. This is due to the typical conception of agency as a capacity for intentional action. Intentional action is thought to require mental states, a severe challenge for machine intelligence. On the face of things, the agency argument seems to provide a straightforward route to argue for the impossibility of AI creativity. However, this path, I argue, (...) is not so clear. In this paper, I outline the agency argument against AI creativity, before calling into question the apparent simplicity of this argument. I argue, ultimately, that the reasoning behind the inclusion of agency in accounts of creativity does not necessitate the use of intentional action, but can instead be satisfied by a minimal teleological account of agency. (shrink)

Ian Hacking instigated a revolution in 20th century philosophy of science by putting experiments (“interventions”) at the top of a philosophical agenda that historically had focused nearly exclusively on representations (“theories”). In this paper, I focus on a set of conceptual tools Hacking (1992) put forward to understand how laboratory sciences become stable and to explain what such stability meant for the prospects of unity of science and kind discovery in experimental science. I first use Hacking’s tools to understand sources (...) of instability and disunity in rodent behavioral neuroscience. I then use them to understand recent grass-roots collaborative open science initiatives aimed at establishing stability in this research area and tease out some implications for unity of science and kind creation and discovery in cognitive neuroscience. -/- . (shrink)

Efforts by governments, firms, and patients to deliver pioneering drugs for critical health needs face a challenge of diminishing efficiency in developing those medicines. While multi-sectoral collaborations involving firms, researchers, patients, and policymakers are widely recognized as crucial for countering this decline, existing incentives to engage in drug development predominantly target drug manufacturers and thereby do little to stimulate collaborative innovation. In this mini review, we consider the unexplored potential within pharmaceutical regulations to create novel incentives to encourage a diverse (...) set of actors from the public and private spheres to engage in the kind of collaborative knowledge exchange requisite for fostering enhanced innovation in early drug development. (shrink)

Recent studies have explored the effectiveness of open-label placebos for a variety of conditions, including chronic pain, cancer-related fatigue and irritable bowel syndrome. OLPs are thought to sidestep traditional ethical worries about placebos because they do not involve deception: with an OLP, patients or subjects are told outright that they are not given an active substance. As deception is framed as the primary hurdle to ethical placebo use, the door is ostensibly opened to ethical studies of OLPs. In this article, (...) I suggest that even though OLPs seemingly do not involve deception, there are other ethical considerations in their clinical investigation and subsequent use. Research ethics often focusses on informed consent—of which, deception and honesty are a piece—as a means to justify research practices with human subjects. Yet, it is but one of the ethical considerations that should be taken into account. With research into placebo effects in particular, I argue that the history of clinical placebo use grounds special considerations for OLP research that go beyond respect for the autonomy of individual patients through informed consent and encompass structural concerns about the type of patient for whom a placebo has historically been thought appropriate. (shrink)

In 2007, ten world-renowned neuroscientists proposed “A Decade of the Mind Initiative.” The contention was that, despite the successes of the Decade of the Brain, “a fundamental understanding of how the brain gives rise to the mind [was] still lacking” (2007, 1321). The primary aims of the decade of the mind were “to build on the progress of the recent Decade of the Brain (1990-99)” by focusing on “four broad but intertwined areas” of research, including: healing and protecting, understanding, enriching, (...) and modeling the mind. These four aims were to be the result of “transdisciplinary and multiagency” research spanning “across disparate fields, such as cognitive science, medicine, neuroscience, psychology, mathematics, engineering, and computer science.” The proposal for a decade of the mind prompted many questions (See Spitzer 2008). In this chapter, I address three of them: (1) How do proponents of this new decade conceive of the mind? (2) Why should a decade be devoted to understanding it? (3) What should this decade look like? (shrink)

What role does the concept of representation play in the contexts of experimentation and explanation in cognitive neurobiology? In this article, a distinction is drawn between minimal and substantive roles for representation. It is argued by appeal to a case study that representation currently plays a role in cognitive neurobiology somewhere in between minimal and substantive and that this is problematic given the ultimate explanatory goals of cognitive neurobiological research. It is suggested that what is needed is for representation to (...) instead play a more substantive role. (shrink)

The question of forgiveness in politics has attained a certain cachet. Indeed, in the fifty years since Arendt commented on the notable absence of forgiveness in the political tradition, a vast and multidisciplinary literature on the politics of apology, reparation, and reconciliation has emerged. To a novice scouring the relevant literatures, it might appear that the only discordant note in this new veritable symphony of writings on political forgiveness has been sounded by philosophers. There is a more-than-healthy cynicism directed at (...) what many philosophers see as an uncritical promotion of forgiveness, which – they fear – risks distorting and cheapening forgiveness as a moral ideal, on the one hand, and ignoring the moral and political values of justice, accountability and the cessation of harmful relationships, on the other. Are philosophical fears about the dangers of thinking about forgiveness in political terms warranted – or do they perhaps depend in part on conceptual conservatism regarding what exactly political forgiveness might be? I argue that most, if not all, standard objections to political forgiveness emerge from theoretical reliance on a picture of forgiveness I will call the Emotional Model. Once we make conceptual space for descriptions of forgiveness in performative and social terms, the concept is more easily adapted to a political account without at least some of the risks feared by philosophers. (shrink)

Forgiveness is typically regarded as a good thing - even a virtue - but acts of forgiveness can vary widely in value, depending on their context and motivation. Faced with this variation, philosophers have tended to reinforce everyday concepts of forgiveness with strict sets of conditions, creating ideals or paradigms of forgiveness. These are meant to distinguish good or praiseworthy instances of forgiveness from problematic instances and, in particular, to protect the self-respect of would-be forgivers. But paradigmatic forgiveness is problematic (...) for a number of reasons, including its inattention to forgiveness as a gendered trait. We can account for the values and the risks associated with forgiving far better if we treat it as a moral practice and not an ideal. (shrink)

Ethical analyses of the effects of neural interventions commonly focus on changes to personality and behavior, interpreting these changes in terms of authenticity and identity. These phenomena have led to debate among ethicists about the meaning of these terms for ethical analysis of such interventions. While these theoretical approaches have different criteria for ethical significance, they agree that patients’ reports are concerning because a sense of self is valuable. In this paper, I question this assumption. I propose that the Buddhist (...) theory of no‐self offers a novel approach to making ethical sense of patients’ claims following deep brain stimulation. This alternative approach is based on the value of insight into patterns of cause and effect among mental states and actions. (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)

Those who wish to defend the role of aesthetic values in science face a dilemma: Either aesthetic language is used metaphorically for what are ultimately epistemic features, or aesthetic language is used literally but it is difficult to see the importance of such values in science. I introduce a new account that gets around this problem by looking to an overlooked source of aesthetic value in science: the relation between form and content. I argue that a fit between the content (...) of a thought experiment, and the way in which that content is formulated, can have important epistemic pay offs through contributing to scientific understanding. (shrink)

Optogenetic techniques are described as “revolutionary” for the unprecedented causal control they allow neuroscientists to exert over neural activity in awake behaving animals. In this paper, I demonstrate by means of a case study that optogenetic techniques will only illuminate causal links between the brain and behavior to the extent that their error characteristics are known and, further, that determining these error characteristics requires comparison of optogenetic techniques with techniques having well known error characteristics and consideration of the broader neural (...) and behavioral context in which the targets of optogenetic interventions are situated. (shrink)

This paper offers a critique of an account of explanatory integration that claims that explanations of cognitive capacities by functional analyses and mechanistic explanations can be seamlessly integrated. It is shown that achieving such explanatory integration requires that the terms designating cognitive capacities in the two forms of explanation are stable but that experimental practice in the mind-brain sciences currently is not directed at achieving such stability. A positive proposal for changing experimental practice so as to promote such stability is (...) put forward and its implications for explanatory integration are briefly considered. (shrink)

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)

Objectification involves treating someone as a thing. The role of images in perpetuating objectification has been discussed by feminist philosophers. However, the precise effect that images have on an individual's visual system is seldom explored. Kathleen Stock’s work is an exception—she describes certain images of women as causing viewers to develop an objectifying ‘gestalt’ which is then projected onto real-life women. However, she doesn’t specify the level of visual processing at which objectification occurs. In this paper, I propose that images (...) can affect a viewer's early visual system. I will argue that if a viewer is exposed to a lot of images that depict women as sexual objects, this will bias their early visual selection mechanisms in a way that can result in an objectifying way of seeing. This is an important contribution to work on objectification as it incorporates empirical studies on vision and findings from philosophy of mind. It also examines some of the epistemic and moral consequences of objectification occurring at this early visual stage. (shrink)

Crime is a serious social problem, but its causes are not exclusively social. There is growing consensus that explaining and preventing it requires interdisciplinary research efforts. Indeed, the landscape of contemporary criminology includes a variety of theoretical models that incorporate psychological, biological and sociological factors. These multi-disciplinary approaches, however, have yet to radically advance scientific understandings of crime and shed light on how to manage it. In this paper, using conceptual tools on offer in the philosophy of science in combination (...) with theoretical work represented in this special volume of Psychology, Crime and Law, I provide some perspective on why explanatory progress in criminology has remained elusive and evaluate some positive proposals for attaining it. -/- . (shrink)

Many neurodegenerative and neuropsychiatric diseases and other brain disorders are accompanied by impairments in high-level cognitive functions including memory, attention, motivation, and decision-making. Despite several decades of extensive research, neuroscience is little closer to discovering new treatments. Key impediments include the absence of validated and robust cognitive assessment tools for facilitating translation from animal models to humans. In this review, we describe a state-of-the-art platform poised to overcome these impediments and improve the success of translational research, the Mouse Translational Research (...) Accelerator Platform (MouseTRAP), which is centered on the touchscreen cognitive testing system for rodents. It integrates touchscreen-based tests of high-level cognitive assessment with state-of-the art neurotechnology to record and manipulate molecular and circuit level activity in vivo in animal models during human-relevant cognitive performance. The platform also is integrated with two Open Science platforms designed to facilitate knowledge and data-sharing practices within the rodent touchscreen community, touchscreencognition and mousebytes. Touchscreencognition includes the Wall, showcasing touchscreen news and publications, the Forum, for community discussion, and Training, which includes courses, videos, SOPs, and symposia. To get started, interested researchers simply create user accounts. We describe the origins of the touchscreen testing system, the novel lines of research it has facilitated, and its increasingly widespread use in translational research, which is attributable in part to knowledge-sharing efforts over the past decade. We then identify the unique features of MouseTRAP that stand to potentially revolutionize translational research, and describe new initiatives to partner with similar platforms such as McGill’s M3 platform. (shrink)

My concern in this paper is how to reconcile a central tension in Hannah Arendt’s thinking, one that – if left unresolved – may make us reluctant to endorse her political theory. Arendt was profoundly and painfully aware of the horrors of political evil; in fact, she is almost unparalleled in 20 th century thought in her concern for the consequences of mass political violence, the victims of political atrocities, and the most vulnerable in political society – the stateless, the (...) pariahs, the outcasts. At least, this is the case in her discussions of concrete, historical political situations. Yet in her philosophical writings, she continues to argue that the political realm ultimately redeems human existence, and furthermore, that politics should remain distinct and autonomous from moral evaluation. Political action must be evaluated according to “greatness,” not goodness or any other explicitly moral or even ethical standard. She goes so far as to suggest that politics and morality may be deeply hostile to one another, and can only be reconciled in situations of extreme emergency. This can leave many feeling both perplexed and deeply uncomfortable with the theory of human action that Arendt proposes. Drawing on her notions of political conscience, judgment and - in particular - her account of forgiveness, in this paper I argue that Arendt offers an ethics of plurality, in which what is good is developed from what is most politically important: amor mundi, or love of our shared political world. (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)

The practice of official apology has a fairly poor reputation. Dismissed as ‘crocodile tears’ or cheap grace, such apologies are often seen by the public as an easy alternative to more punitive or expensive ways of taking real responsibility. I focus on what I call the role-playing criticism: the argument that someone who offers an apology in public cannot be appropriately apologetic precisely because they are only playing a role. I offer a qualified defence of official apologies against this objection, (...) considering them through the lens of fiduciary duties. This focus draws our attention to formal or impersonal relationships that are nevertheless normatively rich, capable of sustaining trust, concern, and care. At the same time, I highlight several pitfalls for fiduciary apologisers, including the tension between apology as a mode of truth telling and the duty of confidentiality. I consider whether the fiduciary apologiser, in reflecting on her fiduciary obligations, has ‘one thought too many’ for genuine apology, and argue that the issue of mixed motives is not limited to fiduciary contexts, cautioning against excessive idealism in our conception of apology. I conclude with some reflections on possible conflicts between fiduciary obligations and the conscientious desire to apologise. (shrink)

One might be inclined to assume, given the mouse donning its cover, that the behavior of interest in Nicole Nelson's book Model Behavior (2018) is that of organisms like mice that are widely used as “stand-ins” for investigating the causes of human behavior. Instead, Nelson's ethnographic study focuses on the strategies adopted by a community of rodent behavioral researchers to identify and respond to epistemic challenges they face in using mice as models to understand the causes of disordered human behaviors (...) associated with mental illness. Although Nelson never explicitly describes the knowledge production activities in which her behavioral geneticist research subjects engage as “exemplary”, the question of whether or not these activities constitute “model behavior(s)”—generalizable norms for engaging in scientific research—is one of the many thought-provoking questions raised by her book. As a philosopher of science interested in this question, I take it up here. (shrink)

In this article, I explain why stabilizing constructs is important to the success of the Research Domain Criteria Project and identify one measure for facilitating such stability.

Neuroscience is a laboratory-based science that spans multiple levels of analysis from molecular genetics to behavior. At every level of analysis experiments are designed in order to answer empirical questions about phenomena of interest. Understanding the nature and structure of experimentation in neuroscience is fundamental for assessing the quality of the evidence produced by such experiments and the kinds of claims that are warranted by the data. This article provides a general conceptual framework for thinking about evidence and experimentation in (...) neuroscience with a particular focus on two research areas: cognitive neuroscience and cognitive neurobiology. (shrink)