David Benatar argues that coming into existence is always a harm, and that – for all of us unfortunate enough to have come into existence – it would be better had we never come to be. We contend that if one accepts Benatar’s arguments for the asymmetry between the presence and absence of pleasure and pain, and the poor quality of life, one must also accept that suicide is preferable to continued existence, and that his view therefore implies both anti-natalism (...) and pro-mortalism . This conclusion has been argued for before by Elizabeth Harman – she takes it that because Benatar claims that our lives are ‘awful’, it follows that ‘we would be better off to kill ourselves’ (Harman 2009: 784). Though we agree with Harman’s conclusion, we think that her argument is too quick, and that Benatar’s arguments for non-pro-mortalism deserve more serious consideration than she gives them. We make our case using a tripartite structure. We start by examining the prima facie case for the claim that pro-mortalism follows from Benatar’s position, presenting his response to the contrary, and furthering the dialectic by showing that Benatar’s position is not just that coming into existence is a harm, but that existence itself is a harm. We then look to Benatar’s treatment of the Epicurean line, which is important for him as it undermines his anti-death argument for non-pro-mortalism. We demonstrate that he fails to address the concern that the Epicurean line raises, and that he cannot therefore use the harm of death as an argument for non-pro-mortalism. Finally, we turn to Benatar’s pro-life argument for non-pro-mortalism, built upon his notion of interests, and argue that while the interest in continued existence may indeed have moral relevance, it is almost always irrational. Given that neither Benatar’s anti-death nor pro-life arguments for non-pro-mortalism work, we conclude that pro-mortalism follows from his anti-natalism, As such, if it is better never to have been, then it is better no longer to be. -/- . (shrink)

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.

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)

Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that the (...) OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data FAIR. Competing Interest StatementThe authors have declared no competing interest. (shrink)

Resident microbiota do not just shape host immunity, they can also contribute to host protection against pathogens and infectious diseases. Previous reviews of the protective roles of the microbiota have focused exclusively on colonization resistance localized within a microenvironment. This review shows that the protection against pathogens also involves the mitigation of pathogenic impact without eliminating the pathogens (i.e., “disease tolerance”) and the containment of microorganisms to prevent pathogenic spread. Protective microorganisms can have an impact beyond their niche, interfering with (...) the entry, establishment, growth, and spread of pathogenic microorganisms. More fundamentally, we propose a series of conceptual clarifications in support of the idea of a “co-immunity,” where an organism is protected by both its own immune system and components of its microbiota. -/- . (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)

According to the account of artifacts developed by Lynne Rudder Baker, artifacts have a certain “proper function” essentially. The proper function of an artifact is the purpose or use intended for the artifact by its “author(s)”, viz., the artifact’s designer(s) and/or producer(s). Baker’s account therefore traces the essences of artifacts back indirectly to the intentions of an artifact’s original author (e.g., its inventor, maker, producer or designer). Like other “author-intention-based” accounts (e.g., those defended by Amie Thomasson, Simon Evnine, and (...) others), Baker’s treatment, or so I have argued, is subject to the concern that, when stated in its most general form, human creative intentions are not nearly as powerful and discriminating as proponents of author-intention-based accounts make them out to be (see Kathrin Koslicki, Form, Matter, Substance, Oxford University Press, 2018, Chapter 8). When Baker responds to a version of this objection launched against her account by Theodore Sider and Dean Zimmerman, she proposes that we cannot simply think things into existence for which “our conventions and practices do not have a place” (Lynne Rudder Baker, The Metaphysics of Everyday Life: An Essay in Practical Realism, 2007, p. 44). For example, I cannot, according to Baker, make up the word, “bonangle”, apply it to a piece of driftwood and thereby succeed in bringing into existence a new artifact, viz., a bonangle, merely by thinking to myself “It would be nice if the world contained bonangles; I hereby make that piece of driftwood a bonangle”. In order for this response to be effective, however, more needs to be said about how our conventions and practices support the creation of some artifacts and artifact kinds, while disallowing the attempted creation of others. In this paper, I examine the effectiveness of Baker’s response in addressing the challenges posed by the inclusion of artifacts in Baker’s practical realist ontology. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Why Gaia?Massimo Pigliucci (bio)The Gaia Hypothesis: Science on a Pagan Planet, Michael Ruse, Chicago: University of Chicago Press, 2013. 272 pages.“The Gaia Hypothesis: Science on a Pagan Planet tells a story that comes out of the 1960s, a story that reflects all of the beliefs and enthusiasms and tensions of that decade.” So begins Michael Ruse’s fascinating, if at times puzzling, exploration of James Lovelock’s famous idea that our (...) planet is, in a serious scientific sense, a living organism with a tendency of taking care of (her)self. But why tell this particular story, especially considering that Gaia hardly makes an appearance in today’s scientific or philosophical publications, and doesn’t even seem quite that popular with the lay public as it used to be? Because, as Ruse tells us near the end of the book, at the onset of chapter seven: “the paradox that set us on our path [is] why the scientific community reacted so negatively to the Gaia hypothesis, whereas the public reaction was so positive.”As it turns out, there is a good answer to that conundrum, one that Ruse himself lays out clearly in the last chapter of the book, and which makes the reader wonder why this should count a paradox at all. But we will get there in due time. First, the basics: the so-called Gaia hypothesis is the brainchild of iconoclastic inventor-turned-independent-scientist James Lovelock, who later got significant help in elaborating (and promoting) his ideas from another iconoclast, biologist Lynn Margulis. By the time you get to the end of Ruse’s engaging book, however, you won’t have gained a particularly good understanding of what the hypothesis actually consists. But that’s not Ruse’s fault, it is Lovelock’s (and Margulis’). At times it sounds like the entirely uncontroversial claim that the Earth’s [End Page 117] biosphere is a somewhat homeostatic system—i.e., a biophysical system that is resistant to major changes, at the least within a certain range (the planet’s atmosphere, after all, did change dramatically early on, increasing its oxygen content as a result of the evolution of photosynthetic organisms—the anaerobic life forms that had up to that point been dominant did not appreciate the novelty). At other times the claim is downright preposterous: the Earth literally is a living organism (according to Lovelock) (Chapter 7),1 a finding that allegedly puts in question the whole Darwinian view of biological evolution (according to Margulis) (Chapter 7), a position that can only be characterized as nonsense on stilts. At yet other moments, Gaia is presented as just a metaphor to help us wrap our minds around the complexities (and homeostatic properties) of the world’s ecosystems (Chapter 8). It is this never-ending oscillation between the trivial and the bizarre that has led the majority of scientists to write off Gaia, to the chagrin of Lovelock, Margulis, and a large number of New Age tree huggers from the 1960s.Indeed, the scientific reaction to Gaia was swift and ranging from the condescending to the unforgiving. Evolutionary biologist John Maynard Smith—never one to mince words—called it “an evil religion” (Chapter 2). Another evolutionary biologist, Stephen Jay Gould (whose own disagreements with Maynard Smith became legendary) said that “Gaia strikes me as a metaphor, not a mechanism” (Chapter 2). Ecologist Robert May, who eventually became president of the Royal Society, called Lovelock “a holy fool” (Chapter 2). The highly respected theoretical biologist W.D. Hamilton said that in order for the hypothesis to work, it would require “treaties between Neptune and Zeus, a Gaian Interpol, conventions about bills of lading for chemical transport by air and water, and so on” (Chapter 7). Finally, Richard Dawkins accused Lovelock of committing the fallacy of “the BBC theorem,” assuming (or wishfully thinking) that the world is a harmonious place, just like in naive BBC nature documentaries (Chapter 2).You get the gist: pretty much from the beginning, and with very few exceptions, the scientific establishment rejected Gaia on the grounds that it is not a scientific hypothesis at all, and that its main tenets actually go against pretty... (shrink)

An antinaturalist defense of causality of mental states. The argument is based on the properties of causal models in cognitive research. Bibliografia prac przywołanych w tekście -/- Damasio A., 1994/1999, Błąd Kartezjusza. Emocje, rozum i ludzki mózg, tłum. M. Karpiński, Poznań: Rebis. Davidson D., 1963/2001, „Actions, reasons, and causes”, w: (Davidson 2001), s. 3-19. Davidson D., 1967/2001, „Causal relations”, w: (Davidson 2001), s. 149-62. Davidson D., 1970/2001, „Mental events”, w: (Davidson 2001), s. 207-25. Davidson D., 1976/2001, „Hempel on explaining action”, (...) w: (Davidson 2001), s. 261-75. Davidson D., 2001, Essays on actions and events, Oxford: Clarendon. Farmer A., McGuffin P., Williams J., 2002, Measuring psychopathology, Oxford: Oxford University Press. Freedman D. A., Petitti D. B., 2002, „Salt, blood pressure, and public policy”, International Journal of Epidemiology, t. 31, s. 319–320. Greyson B., 2000, „Near-death experiences”, w: Varieties of anomalous experience. Examining the scientific evidence, red. E. Cardeña, S. J. Lynn i S. Krippner, Washington, DC: American Psychological Association, s. 315-52. Judycki S., 1995, Umysł i synteza, Lublin: RW KUL. Judycki S., 2000, „Transkauzalność a determinizm”, Kognitywistyka i media w edukacji, t. 3, s. 73-86. Kawalec P. 2005, „Understanding science of the new millennium”, http://philsci archive.pitt.edu/archive/00002558/ Kawalec P., 2006, Jak odkryć przyczynę? Studium z ogólnej metodologii i filozofii nauki, Lublin 2006, w przygotowaniu. Kim J., 1998/2002, Umysł w świecie fizycznym, tłum. R. Poczobut, Warszawa: IFiS PAN. Lauritzen S., 1996, Graphical models, Oxford: Clarendon. Menzies P., 2003, „The causal efficacy of mental states”, w: Physicalism and mental causation. The metaphysics of mind and action, red. S. Walter i H.-D. Heckmann, w druku. Pearl J., 2000, Causality. Models, reasoning, and inference, Cambridge: Cambridge University Press. Piłat R., 1999, Umysł jako model świata, Warszawa: IFiS PAN. Rosenbaum P., 2002, Observational studies, Nowy Jork: Springer. Sabom M., 1998, Life and death. One doctors’s fascinating account of near-death experiences, Grand Rapids: Zondervan. Spirtes P., Glymour C., Scheines R., 2000, Causation, prediction, and search, Cambridge, MA.: MIT. van Fraassen B., 1980, The scientific image, Oxford: Clarendon. van Fraassen B., 2002, The empirical stance, New Haven: Yale University Press. Woodward J., 2003, Making things happen: a theory of causal explanation, Nowy Jork: Oxford University Press. Żegleń U., 2003, Filozofia umysłu, Toruń: A. Marszałek. (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)

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)

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)

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 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)

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)

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)

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.

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)

Derogatory terms (racist, sexist, ethnic, and homophobic epithets) are bully words with ontological force: they serve to establish and maintain a corrupt social system fuelled by distinctions designed to justify relations of dominance and subordination. No wonder they have occasioned public outcry and legal response. The inferential role analysis developed here helps move us away from thinking of the harms as being located in connotation (representing mere speaker bias) or denotation (holding that the terms fail to refer due to inaccurate (...) descriptive content). The issue is not bad attitudes or referential misfires. An inferential role semantic analysis of derogatory terms shows exactly what is at stake between those who argue that the terms should be eliminated (Absolutists) and those who claim they can be successfully rehabilitated (Reclaimers). The Reclaimer maintains, and the Absolutist denies, that certain contexts can detach the derogatory force from deeply derogatory terms. The article looks at these claims with respect to ‘nigger’ and ‘dyke,’ setting out the inferential role of each term and examining detachability potential. Explaining detachability in terms of linguistic commitments, this article also addresses the issue of whether such terms count as political discourse, and examines the implications of that issue. (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)

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)

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.

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.

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)

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)

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 chapter we argue that some beliefs present a problem for the truth-aim teleological account of belief, according to which it is constitutive of belief that it is aimed at truth. We draw on empirical literature which shows that subjects form beliefs about the real world when they read fictional narratives, even when those narratives are presented as fiction, and subjects are warned that the narratives may contain falsehoods. We consider Nishi Shah’s teleologist’s dilemma and a response to it (...) from Asbjørn Steglich-Petersen which appeals to weak truth regulation as a feature common to all belief. We argue that beliefs from fiction indicate that there is not a basic level of truth regulation common to all beliefs, and thus the teleologist’s dilemma remains. We consider two objections to our argument. First, that the attitudes gained through reading fiction are not beliefs, and thus teleologists are not required to account for them in their theory. We respond to this concern by defending a doxastic account of the attitudes gained from fiction. Second, that these beliefs are in fact appropriately truth-aimed, insofar as readers form beliefs upon what they take to be author testimony. We respond to this concern by suggesting that the conditions under which one can form justified beliefs upon testimony are not met in the cases we discuss. Lastly, we gesture towards a teleological account grounded in biological function, which is not vulnerable to our argument. We conclude that beliefs from fiction present a problem for the truth-aim teleological account of belief. (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)

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 (LTP). I argue 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.

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.

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)

To develop rehabilitative treatment programs for persons who have committed crimes, correctional psychologists build theoretical structures that weld theoretical ideas about the causes of criminal behavior, theoretical perspectives about appropriate targets for correctional intervention and normative assumptions about crime and the aims of correctional intervention. To differentiate the tri-partite theoretical structure with which correctional program designers' work, Ward and Durrant (2021) introduce the metatheoretical concept of “practice frameworks”. In this paper, I describe and evaluate this concept, situating my analysis within (...) the broader contexts of philosophical work on scientific theories and models and metatheoretical work on the structure of explanatory and intervention theories in correctional psychology. (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)

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)

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)

This paper argues that the concept of paternalism is currently overextended to include a variety of actions that, while resembling paternalistic actions, are importantly different. I use the example of Japanese physicians’ non-disclosures of cancer diagnoses directly to patients, arguing that the concept of maternalism better captures these actions. To act paternalistically is to substitute one's own judgement for that of another person and decide in place of that person for his/her best interest. By contrast, to act maternalistically is to (...) decide for another person based on a reasonable understanding of that person's own preferences. The concept of maternalism allows for a more thorough assessment of the moral justification of these types of actions. I conclude that it is possible, at least in principle, to justify Japanese physicians’ non-disclosures, and that this justification must be based on an understanding of these actions as maternalistic. (shrink)

This essay takes a first step in comparative ethics by looking to Aristotle and the Aztec's conceptions of the good life. It argues that the Aztec conception of a rooted life, neltiliztli, functions for ethical purposes in a way that is like Aristotle's eudaimonia. To develop this claim, it not only shows just in what their conceptions of the good consist, but also in what way the Aztecs conceived of the virtues (in qualli, in yectli).

Sullivan surveys the philosophical problem-areas surrounding multiculturalism as an ideology of group-identity. While endorsing the claims of underrepresented minorities for recognition, the article sides with traditionalists in prioritizing the autonomy of the self-fashioning individual over ethnic or cultural affiliations. The multicultural challenge to Western logocentrism, its assertion of the implicit power structures embedded in truth claims, and the excesses of postmodern relativism are all subjected to measured criticism. Finally, the essay examines Habermas' role in postwar Germany's embrace of multiculturalism (...) as a national platform of reinvention, and as a means to negate the trauma of the monocultural chauvinism of the Nazi era. However, Sullivan argues, it has taken cosmopolitanism too far. While post-national strategies such as Habermas' Verfassungspatriotismus are well-intentioned, they are ultimately too sterile, universalist and abstract, to satisfy a deep human need for belonging, rooted in a common cultural heritage. -/- All rights reserved. For permission to reprint please contact Rowman & Littlefield. (shrink)

A curious feature of Aztec philosophy is that the basic metaphysical question of the “Western” tradition cannot be formulated in their language, in Nahuatl. This did not, however, prevent the Aztecs from developing an account of 'reality', or whatever it is that might exist. The article is the first of its kind to compare the work of Aristotle on ousia (being) and the Aztecs on teotl and ometeotl. Through this analysis, it suggests that both of the Nahuatl terms are fundamental (...) for expressing the basic character of reality as process for the Aztecs. It also defends their notion as prima facia reasonable, despite its wide divergence from Aristotle's view. (shrink)

In this chapter, I argue that scientific practice in the neurosciences of cognition is not conducive to the discovery of natural kinds of cognitive capacities. The “neurosciences of cognition” include cognitive neuroscience and cognitive neurobiology, two research areas that aim to understand how the brain gives rise to cognition and behavior. Some philosophers of neuroscience have claimed that explanatory progress in these research areas ultimately will result in the discovery of the underlying mechanisms of cognitive capacities. Once such mechanistic understanding (...) is achieved, cognitive capacities purportedly will be relegated into natural kind categories that correspond to real divisions in the causal structure of the world. I provide reasons here, however, in support of the claim that the neurosciences of cognition currently are not on a trajectory for discovering natural kinds. As I explain, this has to do with how mechanistic explanations of cognitive capacities are developed. Mechanistic explanations and the kinds they explain are abstract representational byproducts of the conceptual, experimental and integrative practices of neuroscientists. If these practices are not coordinated towards developing mechanistic explanations that mirror the causal structure of the world, then natural kinds of cognitive capacities will not be discovered. I provide reasons to think that such coordination is currently lacking in the neurosciences of cognition and indicate where changes in these practices appropriate to the natural kinds ideal would be required if achieving this ideal is indeed the goal. However, I suggest that an evaluation of current practices in these research areas is suggestive that discovering natural kinds of cognitive capacities is not the goal. (shrink)

I characterize Nishida Kitarō’s metaethical perspective throughout his work but focus especially on his later papers, most notably his writings on kōiteki chokkan, or active intuition. These include Kōiteki Chokkan no Tachiba (published in 1935), Kōiteki Chokkan (published in 1937), as well as Nothingness and the Religious Worldview (Bashoteki Ronri to Shūkyōteki Sekaikan, published in 1945, and widely available in translation). I explore affinities between Nishida’s approach to ethics and metaethical intuitionism and sensibility theory. I then use this analysis to (...) identify a lesson that Nishida offers to contemporary metaethicists. (shrink)

This article investigates several consequences of a recent trend in philosophy of mind to shift the relata of realization from mental state–physical state to function‐mechanism. It is shown, by applying both frameworks to the neuroscientific case study of memory consolidation, that, although this shift can be used to avoid the immediate antireductionist consequences of the traditional argument from multiple realizability, what is gained is a far more modest form of reductionism than recent philosophical accounts have intimated and neuroscientists themselves have (...) claimed. (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)

Feminists have urged women to take semantic authority. This article explains what such authority is, how it depends upon community recognition, and how it differs from privilege and from authority as usually conceived under patriarchy. Understanding its natures and limits is an important part of attaining it. Understanding the role of community explains why separatism is the logical conclusion of this project, and why separatism is valuable even to those who do not separate.

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)

Clinical psychology is characterized by persistent disagreement about fundamental aspects of the discipline ranging from what mental disorders are to what constitutes effective treatment. Attempts to address the problem of epistemic disagreement have been frequently based on establishing the correct answer by fiat without identifying and addressing the sources of the disagreement. We argue that this strategy has not worked very well and the result is frequently ongoing and intractable disagreement, with each side in an argument convinced they are correct. (...) In this paper, we outline an epistemic disagreement procedural model intended to assist researchers and clinicians in the field of clinical psychology to identify, explore, and develop inquiry strategies that capitalize on situations where competing knowledge claims are made. The result is a flexible conceptual framework committed to a defensible epistemic pluralism, fallibilism, and contextualism, across the various research tasks constituting the field of clinical psychology. (shrink)

Making sense of MacKinnon’s claim that pornography silences women requires attention to the discursive and interpretive frameworks that pornography establishes and promotes. Treating pornography as a form of hate speech is promising, but also limited. A close examination of a legal case, in which pornographic images were used to sexually harass, focuses on the hate speech analogy while illustrating the broad and lasting impact of such depictions when targeted at an individual. Applying the distinction between Absolutist and Reclaimer approaches to (...) hate speech and derogatory terms, the article concludes with a discussion of the possibility of creative development of discursive practices within a context that undermines the semantic authority of members of certain groups. (shrink)

In the quest to discover the neural bases of cognition, rigorous behavioral tools are equally as important as sophisticated tools for neural intervention. This paper evaluates several episodes in the development of a novel behavioral tool for rodent cognitive testing, the rodent touchscreen operant chamber. Using conceptual tools on offer in the philosophical literature on exploratory experimentation and control, I illuminate how optimization of this behavioral tool and an understanding of the causal knowledge it may be used to generate historically (...) has involved dynamic interplay between community-driven exploratory practices operating in parallel with causal hypothesis-driven research. (shrink)