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)

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)

Experiments are commonly thought to have epistemic privilege over simulations. Two ideas underpin this belief: first, experiments generate greater inferential power than simulations, and second, simulations cannot surprise us the way experiments can. In this article I argue that neither of these claims is true of experiments versus simulations in general. We should give up the common practice of resting in-principle judgments about the epistemic value of cases of scientific inquiry on whether we classify those cases as experiments or simulations, (...) per se. To the extent that either methodology puts researchers in a privileged epistemic position, this is context sensitive. (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...

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.

Abstract‘The Future of Legal Gender’ project has assessed the potential implications for feminist legal scholarship and activism of decertifying sex/gender. Decertification refers to the state moving away from officially determining or registering sex/gender. This article explores the potential impact of such moves on equal pay law and gender pay gap reporting. Equal pay and gender pay gap reporting laws provide an important focus for the project because they aim to address structural dynamics associated with persistent pay inequality that women experience (...) across occupations in the United Kingdom. These legal measures illuminate gendering as a large-scale social problem widely understood to operate structurally and systemically. What effect, then, could decertifying sex/gender have on the law and conceptual power of equal pay? Might decertification undermine the structure of equal pay law, with all hard-won gains it has brought for women? Or is it possible to imagine that decertification could accompany a more inclusive and effective legal architecture for equal pay? (shrink)

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)

Many states offer generous provision of fertility treatment, but this article asks whether and how such state funding can be justified. I argue that, at most, there is limited justification for state funding of fertility treatment as one good among many that could enable citizens to pursue valuable life projects, but not one that should have the privileged access to funding it is currently given. I then consider and reject reasons one might think that fertility treatment has a special claim (...) to funding, over the other goods that might enable life projects. First, I deny that fertility treatment has a special claim to funding on the grounds that infertility is a disease or disability. Second, I argue that individuals do not have a right to assistance with the project of having a child of their own. Third, I deny that providing fertility treatment is a special case on the grounds that having children is good for society. However, there may be one exception: states have a reason to fund fertility treatment for same sex couples that does not apply to heterosexual couples. (shrink)

Abstract:Vulnerability is an important criterion to assess the ethical justification of the inclusion of participants in research trials. Currently, vulnerability is often understood as an attribute inherent to a participant by nature of a diagnosed condition. Accordingly, a common ethical concern relates to the participant’s decisionmaking capacity and ability to provide free and informed consent. We propose an expanded view of vulnerability that moves beyond a focus on consent and the intrinsic attributes of participants. We offer specific suggestions for how (...) relational aspects and the dynamic features of vulnerability could be more fully captured in current discussions and research practices. (shrink)

Philosophical discussions of climate change have mainly conceived of it as a moral or ethical problem, but climate change also raises new challenges for aesthetics. In this paper I show that, in particular, climate change (1) raises difficult questions about the status of aesthetic judgments about the future, or ‘future aesthetics’; and (2) puts into relief some challenging issues at the intersection of aesthetics and ethics. I maintain that we can rely on aesthetic predictions to enable us to grasp, in (...) some sense, aesthetic value in environments affected by climate change and, through a discussion of three hypothetical cases, I argue that, although moral considerations will press on aesthetic judgments, aesthetic value will not necessarily be trumped by them. (shrink)

Do we see more than we can report? Psychologists and philosophers have been hotly debating this question, in part because both possibilities are supported by suggestive evidence. On one hand, phenomena such as inattentional blindness and change blindness suggest that visual awareness is especially sparse. On the other hand, experiments relating to iconic memory suggest that our in-the-moment awareness of the world is much richer than can be reported. Recent research has attempted to resolve this debate by showing that observers (...) can accurately report the color diversity of a quickly flashed group of letters, even for letters that are unattended. If this ability requires awareness of the individual letters’ colors, then this may count as a clear case of conscious awareness overflowing cognitive access. Here we explored this requirement directly: can we perceive ensemble properties of scenes even without being aware of the relevant individual features? Across several experiments that combined aspects of iconic memory with measures of change blindness, we show that observers can accurately report the color diversity of unattended stimuli, even while their self-reported awareness of the individual elements is coarse or nonexistent — and even while they are completely blind to situations in which each individual element changes color mid-trial throughout the entire experiment. We conclude that awareness of statistical properties may occur in the absence of awareness of individual features, and that such results are fully consistent with sparse visual awareness. (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)

_Philosophers consider race and racism from the perspective of lived, bodily experience._.

Children bring intuitive arithmetic knowledge to the classroom before formal instruction in mathematics begins. For example, children can use their number sense to add, subtract, compare ratios, and even perform scaling operations that increase or decrease a set of dots by a factor of 2 or 4. However, it is currently unknown whether children can engage in a true division operation before formal mathematical instruction. Here we examined the ability of 6- to 9-year-old children and college students to perform symbolic (...) and non-symbolic approximate division. Subjects were presented with non-symbolic or symbolic dividends ranging from 32 to 185, and non-symbolic divisors ranging from 2 to 8. Subjects compared their imagined quotient to a visible target quantity. Both children and adults were successful at the approximate division tasks in both dots and numeral formats. This was true even among the subset of children that could not recognize the division symbol or solve simple division equations, suggesting intuitive division ability precedes formal division instruction. For both children and adults, the ability to divide non-symbolically mediated the relation between Approximate Number System acuity and symbolic math performance, suggesting that the ability to calculate non-symbolically may be a mechanism of the relation between ANS acuity and symbolic math. Our findings highlight the intuitive arithmetic abilities children possess before formal math instruction. (shrink)

Aristotle claims that in making an animal, nature acts like a “good housekeeper” who “is accustomed to throw out nothing from which it is possible to make something useful” (744b16–17). How does nature act when it “make[s] something useful” in these cases – and does it differ from other ways it acts? I defend two main claims. The first is that Meteor. 4.2’s distinction between two sorts of ‘concoction’ processes offers an underappreciated source of evidence for answering this question. My (...) second claim concerns the nature of those processes and the ends they realize. While they are both the ends of their respective types of concoction, they differ in that some essential (process-defining) features of the second end – but not the first – are supplied by what the capacities of the “underlying” patient (on which the agent acts) are for. The result is a distinction between two kinds of end-directed efficient causation. (shrink)

Previous research reported that college students' symbolic addition and subtraction fluency improved after training with non-symbolic, approximate addition and subtraction. These findings were widely interpreted as strong support for the hypothesis that the Approximate Number System (ANS) plays a causal role in symbolic mathematics, and that this relation holds into adulthood. Here we report four experiments that fail to find evidence for this causal relation. Experiment 1 examined whether the approximate arithmetic training effect exists within a shorter training period than (...) originally reported (2 vs 6 days of training). Experiment 2 attempted to replicate and compare the approximate arithmetic training effect to a control training condition matched in working memory load. Experiments 3 and 4 replicated the original approximate arithmetic training experiments with a larger sample size. Across all four experiments (N = 318) approximate arithmetic training was no more effective at improving the arithmetic fluency of adults than training with control tasks. Results call into question any causal relationship between approximate, non-symbolic arithmetic and precise symbolic arithmetic. (shrink)

Emerging demonstrations of the malleability of distance perception in affective situations require an organizing structure. These effects can be predicted by approach and avoidance orientation. Approach reduces perceptions of distance; avoidance exaggerates perceptions of distance. Moreover, hedonic valence, motivational intensity, and perceiver arousal cannot alone serve as organizing principles. Organizing the literature based on approach and avoidance can reconcile seeming inconsistent effects in the literature, and offers these motives as psychological mechanisms by which affective situations predict perceptions of distance. Moreover, (...) this perspective complements functional models of perception claiming perceptions of distance serve adaptive responding, and in so doing suggests why perceptions of distance respond to affective situations. This review contributes to the building of a broader theory of motivated distance perception. (shrink)

The COVID-19 pandemic has had a devastating impact on care homes in the United Kingdom, particularly for those residents living with dementia. The impetus for this article comes from a recent review conducted by the authors. That review, a qualitative media analysis of news and academic articles published during the first few months of the outbreak, identified ethical care as a key theme warranting further investigation within the context of the crisis. To explore ethical care further, a set of salient (...) ethical values for delivering care to care home residents living with dementia during the pandemic was derived from a synthesis of relevant ethical standards, codes and philosophical approaches. The ethical values identified were caring, non-maleficence, beneficence, procedural justice, dignity in death and dying, well-being, safety, and personhood. Using these ethical values as a framework, alongside examples from contemporaneous media and academic sources, this article discusses the delivery of ethical care to care home residents with dementia within the context of COVID-19. The analysis identifies positive examples of ethical values displayed by care home staff, care sector organisations, healthcare professionals and third sector advocacy organisations. However, concerns relating to the death rates, dignity, safety, well-being and personhood – of residents and staff – are also evident. These shortcomings are attributable to negligent government strategy, which resulted in delayed guidance, lack of resources and Personal Protective Equipment, unclear data, and inconsistent testing. Consequently, this review demonstrates the ways in which care homes are underfunded, under resourced and undervalued. (shrink)

With the normative demand to attend to social difference and an absence of universal evaluative terms with which to do so, recent theory has increasingly turned to the study of the affective rather than epistemological conditions of ethical encounter. This I call a “dispositional ethics” that construes responsibility as responsiveness. Recent articulations of such an ethics, notably in the most current work of Judith Butler, James Tully, Jade Larissa Schiff, and Ella Myers, highlight its connection to situated practices of concrete (...) bodies-in-relation, but often stop short of developing an account of what such embodied practices might be. Based on interviews with thirteen experts who take the body as their primary vocational and intellectual field and characterize their practice as an art of listening, I distinguish three dimensions of a dispositional ethics in practice and some of the specific strategies available to cultivate the conditions for responsiveness in political life. (shrink)

Where ethical or regulatory questions arise about an individual’s interests in accessing bioinformation about herself, the value of this information has traditionally been construed in terms of its clinical utility. It is increasingly argued, however, that the “personal utility” of findings should also be taken into account. This article characterizes one particular aspect of personal utility: that derived from the role of personal bioinformation in identity construction. The suggestion that some kinds of information are relevant to identity is not in (...) itself new. However, the account outlined here seeks to advance the debate by proposing a conception of the relationship between bioinformation and identity that does not depend on essentialist assumptions and applies beyond the narrow genetic contexts in which identity is customarily invoked. The proposal is that the identity-value of personal bioinformation may be understood in terms of its instrumental role in the construction of our narrative identities, specifically that its value lies in helping us to develop self-narratives that support us in navigating our embodied existences. I argue that this narrative conception provides useful insights that are pertinent to the ethical governance of personal bioinformation. It illuminates a wider range of ethical considerations in relation to information access; it accounts for variations in the utility of different kinds of information; and it highlights that the context in which information is conveyed can be as important as whether it is disclosed at all. These arguments are illustrated using an example drawn from psychiatric neuroimaging research. (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)

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)

This article contributes to a growing conversation about the role of numbers in promoting gendered agendas in potentially contradictory ways. Drawing from interviews with gender advisors—the professionals tasked with mainstreaming gender in development projects—in an East African country, I begin from the paradox that gender advisors articulate a strong preference for qualitative data to best capture the lives of the women they aim to assist while voicing a need for quantitative metrics. I demonstrate that gender advisors come to imagine metrics (...) as expeditious bureaucratic tools able to inspire cooperation from otherwise reluctant coworkers. I argue that development organizations are gendered in ways—acutely seen in how advisors struggle, are sidelined, and attempt to advance their goals with numbers—that lead to the utility of valuing quantitative metrics over qualitative ones. I establish two theoretical contributions: Gendered organizations theory is essential to understanding the adoption and globalization of performance metrics, and in an age of evidence-based decision making, the utility of quantified data to garner resources is heightened, rewarding those who adopt quantified knowledge production. I coin the term “the paradox of quantified utility” to describe how these material advantages encourage even skeptics to value quantitative metrics. (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)

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)

Institutional Review Board decisions hinge on the availability and interpretation of information. This is demonstrated by the following well-known historical example. In 2001, 24-year-old Ellen Roche died from respiratory distress and organ failure as a result of her participation in a study at Johns Hopkins Asthma and Allergy Center. The non-therapeutic physiological study, “Mechanisms of Deep Inspiration-Induced Airway Relaxation,” was designed to examine airway hyperresponsiveness in healthy individuals in order to better understand the pathophysiology of asthma. Participants inhaled hexamethonium, a (...) chemical ganglionic blocker that was not FDA-approved for use as specified in the experimental protocol. Risks of inhaling hexamethonium, including lung damage, had been reported in the 1950s and ‘60s. An investigation conducted after Roche's death determined that the study's principal investigator had failed to adequately search the medical literature; the protocol submitted for IRB review cited articles indexed in online literature databases that went back only as far as the 1970s. (shrink)

Neuroscientists are increasingly put into situations which demand critical reflection about the ethical and appropriate use of research tools and scientific knowledge. Students or trainees also have to know how to navigate the ethical domains of this context. At a time when neuroscience is expected to advance policy and practice outcomes, in the face of academic pressures and complex environments, the importance of scientific integrity comes into focus and with it the need for training at the graduate level in the (...) responsible conduct of research . I describe my experience teaching RCR in a graduate neuroscience program and identify three personal reflections where further dialogue could be warranted: mobilizing a common set of competencies and virtues standing for professionalism in the neurosciences; tailoring RCR for the neurosciences and empowering students through the active engagement of mentors; soliciting shared responsibility for RCR training between disciplines, institutions and governmental or funding agencies. (shrink)

Over the last several decades there has been an increase in the amount of research conducted concerning academically dishonest behaviors at the undergraduate level. However, this research and subsequent interventions are based on the assumptions that there exists a clear understanding of what constitutes academic dishonesty. In an attempt to address this gap in the current literature, a concept synthesis of students’ perceptions of academic behavior was completed. The end result was 18 categories of potentially dishonest academic behaviors. Definitions and (...) examples are explored. Inter-rater reliability was completed and Kappa values are reported as well as implications for teaching and future research. (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)

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)

What are the consequences of the tendency for ubiquitous online reputation calculation to lead not to more precise expressions of reputation capital but, rather, to greater reputational instability? This article contrasts two conceptions of online reputation, which enact opposing attitudes about the relation between reputation and the calculable. According to an early online reputation paradigm – reputation capital – users strove to achieve high scores, performing the presumption that reputation could be incrementally accumulated and consistently measured within relatively stable spheres (...) of value. Yet, ubiquitous calculation led not to more precise measurements of reputation, but rather to the increasing volatility of online reputation. Thus, a second online reputation paradigm – reputation warfare – has become increasingly prevalent, in which strategic actors indirectly capitalize on systemic volatility produced by reputation’s ubiquitous online calculation. Steve Bannon’s 2016 Trump campaign strategy, which mobilized trolls, exemplifies the indirect optimization of online reputation, placing an option on reputational volatility. (shrink)