A recent article has claimed that one of the significant benefits which people in the UK derive from the existence of the National Health Service must be lost if the Service adopts the QALY maximisation principle to allocate medical resources. The argument fails, partly because its author conflates two distinct benefits. The first is almost certainly important, but there is no reason to believe that it would be lost if the principle were introduced (while there is some reason to believe (...) that the benefit would actually be greater). The second, once it is isolated from others with which it may be confused, is much less obviously important; and in any case there is again no reason to believe that it would be lost. Moreover, to argue against the principle on the ground that the second benefit would disappear is really to beg the question against the principle. We could not justify our rejection of the principle on the ground that the principle's adoption would mean that we lost the second benefit. (shrink)

Effective vaccines for COVID‐19 are already available to humankind. In Peru, 86 million doses were administered to cover the demand for 33 million Peruvian people. Hence, vaccination has been prioritized in groups: health personnel, subjects with pre‐existing health conditions and those over 65 years of age. However, given the social problems and the public health situation in Peru, this work defends that the priority of vaccination should be focused on the population living in extreme poverty. The method used was an (...) ethical argumentation on the distribution of scarce antiSARS‐CoV2 vaccine in Peru. This argument is based on the analysis of the Peruvian population living in extreme poverty, which presents different layers of vulnerability, and that, in the face of an eventual SARS‐CoV2 infection, these would be exacerbated one after the other, through a cascade effect. This scenario would give rise to new vulnerabilities to those already existing, causing greater damage. Vaccination efforts on this key population would give them the opportunity to continue to find ways to bring food to their homes, significantly reducing the risk of contagion in their environment and mitigating the devastating effect of the local diseases to which they are already exposed. Four objections related to this argument are raised with their corresponding responses. Priority access to the vaccine would significantly reduce the humanitarian harm to people living in extreme poverty, prevailing the principles of justice and equity. (shrink)

La humanidad ya dispone de vacunas eficaces contra el COVID‐19. En Perú se administraron 86 millones de dosis para cubrir la demanda de 33 millones de peruanos. Para ello, se ha priorizado la vacunación en grupos clave: personal de salud, sujetos con condiciones de salud preexistentes y mayores de 65 años. Sin embargo, dada la problemática social y la situación de la salud pública en Perú, este trabajo defiende que la prioridad de la vacunación debe centrarse en la población que (...) vive en extrema pobreza. El método utilizado fue una argumentación ética sobre la distribución de la vacuna contra el COVID‐19 en Perú. Esta argumentación se basa en el análisis de la población peruana que vive en extrema pobreza, la cual presenta diferentes estratos de vulnerabilidad, y que, ante una eventual infección por SARS‐CoV‐2, se irían agravando uno tras otro, a través de un efecto en cascada. Este escenario daría lugar a nuevas vulnerabilidades de las ya existentes, causando mayores daños. Los esfuerzos de vacunación en esta población clave les brindaría oportunidad de seguir encontrando formas de llevar alimentos a sus hogares, reduciendo significativamente el riesgo de contagio en su entorno y mitigando el efecto devastador de las enfermedades locales a las que ya está expuesta. Se plantean cuatro objeciones relacionadas con este argumento, con sus correspondientes respuestas. El acceso prioritario a la vacuna reduciría significativamente el daño a las personas que viven en la extrema pobreza, haciendo prevalecer los principios de justicia y equidad. (shrink)

How can you steal something that doesn’t exist? This question confronts those of us who take an irrealist view of virtual objects and agree with the Supreme Court of the Netherlands that robbery took place when two boys used non-virtual violence to coerce a third boy into relinquishing his virtual amulet and mask. Here we outline this Puzzle of Virtual Theft, along with the closely related Puzzle of Virtual Value. After demonstrating how these puzzles are deeply problematic for the irrealist, (...) we go on to sketch a solution that not only circumscribes the puzzles but also offers a framework by which legal scholars can make sense within existing legal codes of the new phenomenon of virtual theft. (shrink)

This collection of essays presents a thorough explication of one of Deleuze's most difficult works, 'The Fold.'.

Although the prevalence of facial recognition-based COVID-19 surveillance tools and techniques, China does not have a facial recognition law to protect its residents’ facial data. Oftentimes, neither the public nor the government knows where people’s facial images are stored, how they have been used, who might use or misuse them, and to what extent. This reality is alarming, particularly factoring in the wide range of unintended consequences already caused by good-intentioned measures and mandates amid the pandemic. Biometric data are matters (...) of personal rights and national security. In light of worrisome technologies such as deep-fake pornography, the protection of biometric data is also central to the protection of the dignity of the citizens and the government, if not the industry as well. This paper discusses the urgent need for the Chinese government to establish rigorous and timely facial recognition laws to protect the public’s privacy, security, and dignity amid COVID-19 and beyond. (shrink)

Causal exclusion arguments are taken to threaten the autonomy of the special sciences, and the causal efficacy of mental properties. A recent line of response to these arguments has appealed to “independently plausible” and “well grounded” theories of causation to rebut key premises. In this paper I consider two papers which proceed in this vein and show that they share a common feature: they both require causes to be proportional to their effects. I argue that this feature is a bug, (...) and one that generalises: any attempt to rescue the autonomy of the special sciences, or the efficacy of the mental, from exclusion worries had better not look to proportionality for help. (shrink)

Are the objects and events that take place in Virtual Reality genuinely real? Those who answer this question in the affirmative are realists, and those who answer in the negative are irrealists. In this paper we argue against the realist position, as given by Chalmers (2017), and present our own preferred irrealist account of the virtual. We start by disambiguating two potential versions of the realist position—weak and strong— and then go on to argue that neither is plausible. We then (...) introduce a Waltonian variety of ictionalism about the virtual, arguing that this sort of irrealist approach avoids the problems of the realist positions, fits with a unifying theory of representational works, and offers a better account of the phenomenology of engaging in virtual experiences. (shrink)

Many of the computing systems programmed using Machine Learning are opaque: it is difficult to know why they do what they do or how they work. Explainable Artificial Intelligence aims to develop analytic techniques that render opaque computing systems transparent, but lacks a normative framework with which to evaluate these techniques’ explanatory successes. The aim of the present discussion is to develop such a framework, paying particular attention to different stakeholders’ distinct explanatory requirements. Building on an analysis of “opacity” from (...) philosophy of science, this framework is modeled after accounts of explanation in cognitive science. The framework distinguishes between the explanation-seeking questions that are likely to be asked by different stakeholders, and specifies the general ways in which these questions should be answered so as to allow these stakeholders to perform their roles in the Machine Learning ecosystem. By applying the normative framework to recently developed techniques such as input heatmapping, feature-detector visualization, and diagnostic classification, it is possible to determine whether and to what extent techniques from Explainable Artificial Intelligence can be used to render opaque computing systems transparent and, thus, whether they can be used to solve the Black Box Problem. (shrink)

This paper argues that a counterpart-theoretic treatment of events, combined with a counterfactual theory of causation, can help resolve three puzzles from the causation literature. First, CCT traces the apparent contextual shifts in our causal attributions to shifts in the counterpart relation which obtains in those contexts. Second, being sensitive to shifts in the counterpart relation can help diagnose what goes wrong in certain prominent examples where the transitivity of causation appears to fail. Third, CCT can help us resurrect the (...) much-maligned fragility response to the problems of late pre-emption by understanding fragility in counterpart-theoretic terms. Some reasons to prefer this CCT approach to rivals are discussed. (shrink)

It is commonly assumed that causation is transitive and in this paper I aim to reconcile this widely-held assumption with apparent evidence to the contrary. I will discuss a familiar approach to certain well-known counterexamples, before introducing a more resistant sort of case of my own. I will then offer a novel solution, based on Yablo’s proportionality principle, that succeeds in even these more resistant cases. There is a catch, however. Either proportionality is a constraint on which causal claims are (...) true, and the solution works, or it is not and causation is not transitive after all. I will argue that the first horn has unacceptable consequences and should be rejected, but that the second horn is less costly than it might initially appear. (shrink)

The received view of dynamical explanation is that dynamical cognitive science seeks to provide covering law explanations of cognitive phenomena. By analyzing three prominent examples of dynamicist research, I show that the received view is misleading: some dynamical explanations are mechanistic explanations, and in this way resemble computational and connectionist explanations. Interestingly, these dynamical explanations invoke the mathematical framework of dynamical systems theory to describe mechanisms far more complex and distributed than the ones typically considered by philosophers. Therefore, contemporary dynamicist (...) research reveals the need for a more sophisticated account of mechanistic explanation. (shrink)

Models developed using machine learning are increasingly prevalent in scientific research. At the same time, these models are notoriously opaque. Explainable AI aims to mitigate the impact of opacity by rendering opaque models transparent. More than being just the solution to a problem, however, Explainable AI can also play an invaluable role in scientific exploration. This paper describes how post-hoc analytic techniques from Explainable AI can be used to refine target phenomena in medical science, to identify starting points for future (...) investigations of causal relationships, and to generate possible explanations of target phenomena in cognitive science. In this way, this paper describes how Explainable AI—over and above machine learning itself—contributes to the efficiency and scope of data-driven scientific research. (shrink)

In a context of pervasive digitalization of the social world, both before and during the COVID-19 pandemic, the field of education has undergone major changes with the development of digital practices and settings. However, the physical presence of the subjects and the body remain something primordial and irreplaceable in traditional educational processes. Thus, it is often assumed that virtuality is opposed to the corporeal reality of the subjects involved in teaching, learning and studying. In this paper we aim to critically (...) challenge this assumption by addressing the phenomenon of virtuality in a more original sense: as a fundamental dimension of corporeality itself. Drawing on Merleau-Ponty’s phenomenological insights, we argue that the experience of the virtual is inherently embodied and fully real. We understand corporeality and virtuality as entangled and multidimensional phenomena. At the same time, this leads us to rethink the digital as only one possible medium in which virtuality can appear as inherent to embodied experience. We develop our phenomenological approach in three instances. First, we question and bracket two common assumptions about corporeality. From our critical perspective, assumptions about a disembodied digitality and a devirtualized corporeality represent extremes within which educational discourses currently move. Second, we address the inherent virtuality of embodied experience. We outline the heuristic concept of the virtual body to describe corporeality and virtuality as entangled and multidimensional phenomena that encompass extension, intercorporeality and intermediality. Finally, we make some remarks on the relationships of corporeality and virtuality considering the challenges of digital education. (shrink)

In Western democracies, people harbor feelings of disgust or hatred for politics. Populists and technocrats even seemingly question the value of politics. Populists cry that they are not politicians and that politics is necessarily corrupt. From the opposite side, technocrats view politics as a pointless constraint on enacting the obviously right policies. Are Western democracies facing a rejection of politics? And is politics worth defending? This paper offers a vindicatory genealogy of politics, vindicating the need human beings have for this (...) practice and clarifying the extent of its contemporary rejections. To achieve these contributions, the paper connects the literatures on pragmatic genealogy and on political realism, revealing how they can complement each other. Following pragmatic genealogy, the practice of politics is vindicated, because it meets an inevitable functional need for collectively binding decision‐making. However, and importantly, political realism allows us to see that the functional mechanisms through which politics fulfills this need vary contextually and thus require careful empirical scrutiny. The paper thus dispels confusion about seeming rejections of politics by clarifying what is unavoidable, and what is revisable about politics. (shrink)

"Epistola a Memeceo, Maximas capitales, Sentencias vaticanas, fragmentos y testimonios; texto griego y traduccion": p. [87]-161.

This paper discusses the varieties of capitalism in transitional societies in Latin America and Central / Eastern Europe. The intended purpose of these transitions from semi-closed import-substituting economies in the first case and state socialist ones in the second was to institutionalize open-market economies. Twenty or thirty years later, there is a variety of types of capitalism in these countries, which I classify into three: open-market, neo-mercantilist, and anemic. The question for sociology is whether these quite different variants represent temporary (...) stages or distortions in the same process of transition or whether, on the contrary, they may institutionalize as discrete forms of peripheral capitalism. Neither standard “legacy” argu­ments nor institutionalist theories offer satisfactory answers to this question. The multiple modernities approach, on the other hand, is more appropriate as a theoretical perspective, but it has not produced yet specific propositions applicable to this question. My paper makes two claims. First, the successful transfer of institutions depends on the congruence between these institutions and the broader institutional framework of the recipient economies, a point not developed by institutionalist theories. I offer a hypothesis in this regard: Two critical nodes of congruence are the regulatory and extractive capacity of the state and the strength of civil society. Second, market capitalism (as liberal democracy as well) is a complex institution, and some of its components “travel” more easily across societies and institutional frameworks, and therefore are easier to institutionalize. This is the source of the hybrid variants. (shrink)

Causal theories of action, perception and knowledge are each beset by problems of so-called ‘deviant’ causal chains. For each such theory, counterexamples are formed using odd or co-incidental causal chains to establish that the theory is committed to unpalatable claims about some intentional action, about a case of veridical perception or about the acquisition of genuine knowledge. In this paper I will argue that three well-known examples of a deviant causal chain have something in common: they each violate Yablos proportionality (...) constraint on causation. I will argue that this constraint provides the key to saving causal theories from deviant chains. (shrink)

Bayesian reverse-engineering is a research strategy for developing three-level explanations of behavior and cognition. Starting from a computational-level analysis of behavior and cognition as optimal probabilistic inference, Bayesian reverse-engineers apply numerous tweaks and heuristics to formulate testable hypotheses at the algorithmic and implementational levels. In so doing, they exploit recent technological advances in Bayesian artificial intelligence, machine learning, and statistics, but also consider established principles from cognitive psychology and neuroscience. Although these tweaks and heuristics are highly pragmatic in character and (...) are often deployed unsystematically, Bayesian reverse-engineering avoids several important worries that have been raised about the explanatory credentials of Bayesian cognitive science: the worry that the lower levels of analysis are being ignored altogether; the challenge that the mathematical models being developed are unfalsifiable; and the charge that the terms ‘optimal’ and ‘rational’ have lost their customary normative force. But while Bayesian reverse-engineering is therefore a viable and productive research strategy, it is also no fool-proof recipe for explanatory success. (shrink)

What is it for an event not to occur? This is an urgent, yet under explored, question for counterfactual analyses of causation quite generally. In this paper I take a lead from Lewis in identifying two different possible standards of non-occurrence that we might adopt and I argue that we need to apply them asymmetrically: one standard for the cause, another for the effect. This is a surprising result. I then offer a contextualist refinement of the Lewis approach in light (...) of initial problems, and discuss how the asymmetry remained hidden until now. I then relate the non-occurrence problem to issues of transitivity and proportionality in causation, before showing that a parallel problem exists for contrastivist and interventionist approaches to causation too. (shrink)

The philosophical conception of mechanistic explanation is grounded on a limited number of canonical examples. These examples provide an overly narrow view of contemporary scientific practice, because they do not reflect the extent to which the heuristic strategies and descriptive practices that contribute to mechanistic explanation have evolved beyond the well-known methods of decomposition, localization, and pictorial representation. Recent examples from evolutionary robotics and network approaches to biology and neuroscience demonstrate the increasingly important role played by computer simulations and mathematical (...) representations in the epistemic practices of mechanism discovery and mechanism description. These examples also indicate that the scope of mechanistic explanation must be re-examined: With new and increasingly powerful methods of discovery and description comes the possibility of describing mechanisms far more complex than traditionally assumed. (shrink)

Theories of culture and action, especially after the cognitive turn, have developed more complex understandings of how unconscious, embodied, internalized culture motivates action. As our theories have become more sophisticated, our methods for capturing these internal processes have not kept up and we struggle to adjudicate among theories of how culture shapes action. This article discusses what I call “productive” methods: methods that observe people creating a cultural object. Productive methods, I argue, are well suited for drawing out moments of (...) shared automatic cognition and resonance. To demonstrate the value of productive methods, I describe my method of asking focus group participants to devise and draw AIDS campaign posters collectively. I then 1) show how this productive method made visible distinct moments of both automatic and deliberative cognition, 2) offer an operational definition of resonance and demonstrate how the process of drawing revealed moments of resonance, and 3) suggest how this method allowed me to investigate the relationship between cognition and resonance and their effect on action. To conclude, I discuss strategies for using productive methods and advocate for their use in measuring culture. (shrink)

There are at least two different concepts that philosophers might target when analyzing causation: a pre-selective notion and a selective notion. This paper argues that these two distinct conceptions have been conflated to date, citing the puzzles of overdetermination, extensionality, and transitivity as evidence. The primary aim of the paper is to help reset the methodological scene concerning analyses of causation.

This chapter subsumes David Marr’s levels of analysis account of explanation in cognitive science under the framework of mechanistic explanation: Answering the questions that define each one of Marr’s three levels is tantamount to describing the component parts and operations of mechanisms, as well as their organization, behavior, and environmental context. By explicating these questions and showing how they are answered in several different cognitive science research programs, this chapter resolves some of the ambiguities that remain in Marr’s account, and (...) shows that many different areas and traditions of cognitive scientific research can be unified under the mechanistic framework. (shrink)

ABSTRACTOn 28 October 2012, Savita Halappanavar, an Indian woman living in Ireland, died in hospital while under medical care for a miscarrying pregnancy. According to her husband, her repeated requests for an abortion were ignored because of the presence of a foetal heartbeat. Ms Halappanavar’s death was a critical event in the process leading to a referendum on 25 May 2018, when the Irish electorate voted to repeal the Eighth Amendment of the Constitution, removing the constitutional ban on abortion. The (...) name Savita has become indelibly linked to the changing course of abortion politics, so it is timely to reassess the role of the media in shaping the parameters of the debate about the impact of her death on the issue. This study presents a frame analysis of Irish newspapers in the weeks following her death, mapping the political, medical, legal and socio-ethical discourses, as well as the related contemporaneous events that set the agenda for the type of debate that was to follow. It identifies four media frames: Public Tragedy, Political Opportunity, Abortion Legacy and Maternal Health. Our central argument is that the overall effect of media framing provided much face-saving for politicians in the way that the legislative issue was viewed through a conservative party-political lens, despite public outrage. (shrink)

Whereas most branches of neuroscience are thought to provide mechanistic explanations, systems neuroscience is not. Two reasons are traditionally cited in support of this conclusion. First, systems neuroscientists rarely, if ever, rely on the dual strategies of decomposition and localization. Second, they typically emphasize organizational properties over the properties of individual components. In this paper, I argue that neither reason is conclusive: researchers might rely on alternative strategies for mechanism discovery, and focusing on organization is often appropriate and consistent with (...) the norms of mechanistic explanation. Thus, many explanations in systems neuroscience can also be viewed as mechanistic explanations. (shrink)

This paper considers the way mathematical and computational models are used in network neuroscience to deliver mechanistic explanations. Two case studies are considered: Recent work on klinotaxis by Caenorhabditis elegans, and a longstanding research effort on the network basis of schizophrenia in humans. These case studies illustrate the various ways in which network, simulation and dynamical models contribute to the aim of representing and understanding network mechanisms in the brain, and thus, of delivering mechanistic explanations. After outlining this mechanistic construal (...) of network neuroscience, two concerns are addressed. In response to the concern that functional network models are non-explanatory, it is argued that functional network models are in fact explanatory mechanism sketches. In response to the concern that models which emphasize a network’s organization over its composition do not explain mechanistically, it is argued that this emphasis is both appropriate and consistent with the principles of mechanistic explanation. What emerges is an improved understanding of the ways in which mathematical and computational models are deployed in network neuroscience, as well as an improved conception of mechanistic explanation in general. (shrink)

This article discusses the relation between empirical and normative approaches in bioethics. The issue of dwarf tossing, while admittedly unusual, is chosen as a point of departure because it challenges the reader to look with fresh eyes upon several central bioethical themes, including human dignity, autonomy, and the protection of vulnerable people. After an overview of current approaches to the integration of empirical and normative ethics, we consider five ways that the empirical and normative can be brought together to speak (...) to the problem of dwarf tossing: prescriptive applied ethics, theoretical ethics, critical applied ethics, particularist ethics and integrated empirical ethics. We defend a position of critical applied ethics that allows for a two-way relation between empirical and normative theories. Against efforts fully to integrate the normative and the empirical into one synthesis, we propose that the two should stand in tension and relation to one another. The approach we endorse acknowledges that a social practice can and should be judged both by the gathering of empirical data and by normative ethics. Critical applied ethics uses a five stage process that includes: (a) determination of the problem, (b) description of the problem, (c) empirical study of effects and alternatives, (d) normative weighing and (e) evaluation of the effects of a decision. In each stage, we explore the perspective from both the empirical (sociological) and the normative ethical point of view. We conclude by applying our five-stage critical applied ethics to the example of dwarf tossing. (shrink)