BackgroundProphylactic Bilateral Salpingo-Oophorectomy reduces the risk of developing ovarian cancer. However, the psychological mechanisms that may affect post-surgery Quality of Life among patients who underwent PBSO are still largely unknown. Thus, this study aimed at exploring the direct and indirect associations of satisfaction with medical communication and cancer anxiety on post-surgery QoL among women at high risk of developing ovarian cancer.MethodFifty-nine women who underwent PBSO took part in this cross-sectional study, filling out a sociodemographic and clinical questionnaire, a battery of (...) validated psychological measures and an ad hoc developed scale for the assessment of cancer anxiety. We first examined the correlations among all variables of interest, and then tested if cancer anxiety mediated the association between satisfaction with medical communication and post-surgery psychological QoL, controlling both for time from surgery and education.ResultsPost-surgery psychological QoL was unrelated from any sociodemographic or clinical variable. Cancer anxiety had a significant direct negative effect on psychological QoL, while satisfaction with medical communication had a significant positive direct effect on it. Finally, cancer anxiety significantly mediated the association between satisfaction with medical communication and post-surgery psychological QoL.DiscussionResults suggest that post-surgery psychological QoL of patients who underwent PBSO may be increased with interventions, delivered in a genetic counselling setting, targeting quality of medical communication and cancer anxiety. (shrink)

: The concepts of intention and intentionality were particularly significant notions within the Christian, Jewish, and Islamic medieval philosophical traditions, and they regained philosophical importance in the twentieth century. The theories of intention and intentionality of the medieval Islamic philosopher and physician Ibn Sina and the phenomenological philosopher and mathematician Edmund Husserl are examined, compared, and contrasted here, showing that Ibn Sina's conception of intention is naturalistic and, in its naturalism, is influenced by the medical professional culture to (...) which Ibn Sina belonged. As well, Husserl's anti-naturalistic conception of intentionality is influenced by his background as a mathematician and by his desire to ground mathematics and the empirical sciences in a truly scientific philosophy. In conclusion, an argument is presented for the superiority of the Husserlian transcendentalist account of intentionality over the Avicennian naturalistic account, on the grounds that the latter falls prey to psychologism and reductionism, the two specters that according to Husserl must haunt all naturalistic accounts of consciousness. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Reception of René Girard's Thought in Italy:1965-Present1Federica Casini (bio) and Pierpaolo Antonello (bio)Italy provides an important national cultural context for the global mapping of constantly growing interest in René Girard's thought and in mimetic theory. Girard is widely and unquestionably recognized as one of the most influential thinkers of our times. Interviews, public interventions, and excerpts of his books are featured quite regularly in Italian national newspapers and (...) magazines, and, as a result, Girard's name is known outside narrow academic circles.2 All his books have been translated into Italian, including several unique titles, which are available neither in French nor in English, and which are collections of previously unpublished occasional papers or essays.3 The reception of his thought has not been confined to any specific disciplinary ambit; it has been discussed, among others, by philosophers, literary critics, social scientists, cognitive scientists, theologians, and psychoanalysts.4 This article aims at providing a chronology of Girard's reception in Italy, while surveying the critical literature and the intellectual response to his theory, from the publication of his first book to the present. [End Page 139]From the 1960s to the 1980s: Lies and Truth (About Girard) and the Early Reception of His BooksThe first Italian translation of Mensonge romantique et vérité romanesque5 was released by Bompiani in 1965, with a title that was both misleading and symptomatic: Struttura e personaggi del romanzo moderno (Structures and Characters in the Modern Novel). The reference to structuralism, which was the theoretical fashion of the day in Italian literary circles in the mid-1960s, and the pigeonholing of Girard's exegetical scrutiny as novelistic criticism testify emblematically to the difficulty of classification, plus the substantial misunderstanding that the book withstood both in Italy and in other parts of Europe at that time. To omit mensonge and vérité from the title of the Italian edition is to ignore the "truth" of the matter, that the book was also a mediation on the structure of human desire, extending outside the limits of representation and literature, branching out into a theory of human behavior and the social dynamic that had a profound psychological, anthropological, and sociological reach. Moreover, Mensonge romantique is a meditation on modernity (the novel being its most emblematic form of representation) and the consequences of the unleashing of increasing levels of "internal mediation" within bourgeois society. The reception of this volume was quite cold, and it was reprinted only in 1981, after the wave of discussion stirred by the publication of the Italian translation of Violence and the Sacred. The only review published between 1965 and 1979, by the literary critic Enzo Golino, appeared in 1966 in L'Espresso,6 a weekly magazine that has played, and still plays today, a determinant role in the presentation of Girardian texts to the general public in Italy.Given this minimal reception, it is not surprising that the publication of Girard's groundbreaking work, La Violence et le sacré, in 1972,7 was largely ignored in Italy, in spite of the discussion it stirred in French intellectual quarters and the cultural exchange that Italian intellectuals have always maintained with Parisian cultural circles. The only review that appeared in Italy was by Paola Daniela Giovannelli, a literary critic and an expert on Italian theater, showing that the new work clearly still suffered from the same kind of disciplinary classification and reception as Mensonge romantique. In fact, it appeared in the literary journal Lingua e stile, and it discusses the anthropology of sacrifice and the interdisciplinary perspective, ranging from ethnology to psychoanalysis to myth, that feature in La Violence et le sacré in terms of a "theatricalization" of anthropology, mainly due to Giovannelli's disciplinary interests and the book's focus on Greek tragedies.8 [End Page 140]However, Girard's name finally burst onto the intellectual scene in Italy in 1980, when the Italian translation of Violence and the Sacred was released by Adelphi, with the title La violenza e il sacro.9 This marks the "official" entrance of Girardian thought into the Italian cultural debate, as the volume was hailed by a series of... (shrink)

Within the framework of 'Temporalities and the Urban Fabric: Co-Producing Liminal Spaces in Transitional Epochs,' this rigorous examination unravels the multilayered nuances of temporality and its intimate relationship with urban spaces in times of transition. The research delineates the intricate interplay between public exhibitions, urban realms, and socio-political paradigms, particularly within the dynamic settings of the metropolitan entities of Houston and Amsterdam. These cities, as epitomes of temporal urban flux, become fertile grounds for exploring the ephemeral essence of liminal spaces (...) and their transformative manifestations. By weaving together diverse academic domains – from Design Computation and Fabrication to Urban Communities and Spatial Justice – this study underscores the symbiotic fusion of Augmented Reality (AR) and Gamification within the broader canvas of urban temporalities. Crucially, the research accentuates the transformative potential of Extended Reality (XR) in augmenting the theoretical and methodological contours of urban studies within these transitional epochs. (shrink)

We suggest that philosophical accounts of epistemic effects of diversity have given insufficient attention to the relationship between demographic diversity and information elaboration, the process whereby knowledge dispersed in a group is elicited and examined. We propose an analysis of IE that clarifies hypotheses proposed in the empirical literature and their relationship to philosophical accounts of diversity effects. Philosophical accounts have largely overlooked the possibility that demographic diversity may improve group performance by enhancing IE, and sometimes fail to explore the (...) relationship between diversity and IE altogether. We claim these omissions are significant from both a practical and theoretical perspective. Moreover, we explain how the overlooked explanations suggest that epistemic benefits of diversity can depend on epistemically unjust social dynamics. (shrink)

Artificial Intelligence (AI) has the potential to influence people’s lives in various ways as it is increasingly integrated into important decision-making processes in key areas of society. While AI offers opportunities, it is also associated with risks. These risks have sparked debates about how AI should be regulated, whether through government regulation or industry self-regulation. AI-related risk perceptions can be shaped by national cultures, especially the cultural dimension of uncertainty avoidance. This raises the question of whether people in countries with (...) higher levels of uncertainty avoidance might have different preferences regarding AI regulation than those with lower levels of uncertainty avoidance. Therefore, using Hofstede’s uncertainty avoidance scale and data from ten European countries (N = 7.855), this study investigates the relationships between uncertainty avoidance, people’s AI risk perceptions, and their regulatory preferences. The findings show that people in countries with higher levels of uncertainty avoidance are more likely to perceive AI risks in terms of a lack of accountability and responsibility. While people’s perceived AI risk of a lack of accountability exclusively drives their preferences for government regulation of AI, the perceived AI risk of a lack of responsibility can foster people’s requests for government regulation and/or industry self-regulation. This study contributes to a better understanding of which mechanisms shape people’s preferences for AI regulation. (shrink)

We argue that the health sciences make causal claims on the basis of evidence both of physical mechanisms, and of probabilistic dependencies. Consequently, an analysis of causality solely in terms of physical mechanisms or solely in terms of probabilistic relationships, does not do justice to the causal claims of these sciences. Yet there seems to be a single relation of cause in these sciences - pluralism about causality will not do either. Instead, we maintain, the health sciences require a theory (...) of causality that unifies its mechanistic and probabilistic aspects. We argue that the epistemic theory of causality provides the required unification. (shrink)

Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...) many assumptions about Big Data that permeate contemporary literature on information and society by locating instances where Big Data may be naively taken to denote objective and transparent informational entities. In this introduction to the Big Data & Society CDS special theme, we briefly describe CDS work, its orientations, and principles. (shrink)

Testimony spreads information. It is also commonly agreed that it can transfer knowledge. Whether it can work as an epistemic source of understanding is a matter of dispute. However, testimony certainly plays a pivotal role in the proliferation of understanding in the epistemic community. But how exactly do we learn, and how do we make advancements in understanding on the basis of one another’s words? And what can we do to maximize the probability that the process of acquiring understanding from (...) one another succeeds? These are very important questions in our current epistemological landscape, especially in light of the attention that has been paid to understanding as an epistemic achievement of purely epistemic value. Somewhat surprisingly, the recent literature in social epistemology does not offer much on the topic. The overarching aim of this paper is to provide a tentative model of understanding that goes in-depth enough to safely address the question of how understanding and testimony are related to one another. The hope is to contribute, in some measure, to the effort to understand understanding, and to explain two facts about our epistemic practices: the fact that knowledge and understanding relate differently to testimony, and the fact that some pieces of testimonial information are better than others for the sake of providing one with understanding and of yielding advancements in one’s epistemic standing. (shrink)

Can we transmit understanding via testimony in more or less the same way in which we transmit knowledge? The standard view in social epistemology has a straightforward answer: no, we cannot. Three arguments supporting the standard view have been formulated so far. The first appeals to the claim that gaining understanding requires a greater cognitive effort than acquiring testimonial knowledge does. The second appeals to a certain type of epistemic trust that is supposedly characteristic of knowledge transmission (and maybe of (...) the transmission of epistemic goods in general) and that is allegedly incompatible with understanding. The third aims to show that there is a certain aspect of understanding (what epistemologists these days like to call “grasping”) that cannot be passed on to another person via testimony alone. In this article, I show that all of these arguments can be resisted. Thus, there seem to be no compelling reasons to embrace the standard view. (shrink)

The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant (...) Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science. (shrink)

We invited five Cavell scholars to write on this topic. What follows is a vibrant exchange among Paola Marrati, Andrew Norris, Jörg Volbers, Cary Wolfe and Thomas Dumm addressing the question whether, in the contemporary political context, Cavell’s skepticism and his Emersonian perfectionism amount to a politics at all.

Can we gain understanding from testifiers who themselves fail to understand? At first glance, this looks counterintuitive. How could a hearer who has no understanding or very poor understanding of a certain subject matter non-accidentally extract items of information relevant to understanding from a speaker’s testimony if the speaker does not understand what she is talking about? This paper shows that, when there are theories or representational devices working as mediators, speakers can intentionally generate understanding in their hearers by engaging (...) in relevant speech acts without understanding the topic of these speech acts themselves. More specifically, I argue that testifiers can intentionally elicit understanding of empirical phenomena in their hearers even if they themselves lack such understanding – granted that they properly understood the epistemic mediators involved. (shrink)

Data‐driven algorithms are widely used to make or assist decisions in sensitive domains, including healthcare, social services, education, hiring, and criminal justice. In various cases, such algorithms have preserved or even exacerbated biases against vulnerable communities, sparking a vibrant field of research focused on so‐called algorithmic biases. This research includes work on identification, diagnosis, and response to biases in algorithm‐based decision‐making. This paper aims to facilitate the application of philosophical analysis to these contested issues by providing an overview of three (...) key topics: What is algorithmic bias? Why and how can it occur? What can and should be done about it? Throughout, we highlight connections—both actual and potential—with philosophical ideas and concerns. (shrink)

This book investigates the unresolved issue of democratic legitimacy in contexts of pervasive disagreement and contributes to this debate by defending a relational version of political liberalism that rests on the ideal of co-authorship. According to this proposal, democratic legitimacy depends upon establishing appropriate interactions among citizens who ought to ascribe to one another the status of putative practical and epistemic authorities. To support this relational reading of political liberalism, the book proposes a revised account of the civic virtue of (...) reasonableness along with an investigation of the epistemic-specific dimension of political equality. By engaging with political epistemology and social theory, this book explores ways to address inherent tensions within the liberal paradigm, using the following strategies of addressing these tensions: first, it defends a twofold model of legitimacy that distinguishes the goals, methodologies, and justificatory tasks of both ideal and nonideal phases of the two-level justificatory framework; second, it contends that democratic legitimacy requires an engaged and contextual critical appraisal of the injustices that characterize our daily social lives, illustrating how structural forms of injustice represent a profound betrayal of the liberal ideal of democratic legitimacy. (shrink)

Causal claims in biomedical contexts are ubiquitous albeit they are not always made explicit. This paper addresses the question of what causal claims mean in the context of disease. It is argued that in medical contexts causality ought to be interpreted according to the epistemic theory. The epistemic theory offers an alternative to traditional accounts that cash out causation either in terms of “difference-making” relations or in terms of mechanisms. According to the epistemic approach, causal claims tell us about which (...) inferences (e.g., diagnoses and prognoses) are appropriate, rather than about the presence of some physical causal relation analogous to distance or gravitational attraction. It is shown that the epistemic theory has important consequences for medical practice, in particular with regard to evidence-based causal assessment. (shrink)

The need for fair and just AI is often related to the possibility of understanding AI itself, in other words, of turning an opaque box into a glass box, as inspectable as possible. Transparency and explainability, however, pertain to the technical domain and to philosophy of science, thus leaving the ethics and epistemology of AI largely disconnected. To remedy this, we propose an integrated approach premised on the idea that a glass-box epistemology should explicitly consider how to incorporate values and (...) other normative considerations, such as intersectoral vulnerabilities, at critical stages of the whole process from design and implementation to use and assessment. To connect ethics and epistemology of AI, we perform a double shift of focus. First, we move from trusting the output of an AI system to trusting the process that leads to the outcome. Second, we move from expert assessment to more inclusive assessment strategies, aiming to facilitate expert and non-expert assessment. Together, these two moves yield a framework usable for experts and non-experts when they inquire into relevant epistemological and ethical aspects of AI systems. We dub our framework ‘epistemology-cum-ethics’ to signal the equal importance of both aspects. We develop it from the vantage point of the designers: how to create the conditions to internalize values into the whole process of design, implementation, use, and assessment of an AI system, in which values (epistemic and non-epistemic) are explicitly considered at each stage and inspectable by every salient actor involved at any moment. (shrink)

In both scientific and popular circles it is often said that we are in the midst of a sixth mass extinction. Although the urgency of our present environmental crises is not in doubt, such claims of a present mass extinction are highly controversial scientifically. Our aims are, first, to get to the bottom of this scientific debate by shedding philosophical light on the many conceptual and methodological challenges involved in answering this scientific question, and, second, to offer new philosophical perspectives (...) on what the value of asking this question has been — and whether that value persists today. We show that the conceptual challenges in defining ‘mass extinction’, uncertainties in past and present diversity assessments, and data incommensurabilities undermine a straightforward answer to the question of whether we are in, or entering, a sixth mass extinction today. More broadly we argue that an excessive focus on the mass extinction framing can be misleading for present conservation efforts and may lead us to miss out on the many other valuable insights that Earth’s deep time can offer in guiding our future. (shrink)

Mobile applications are increasingly regarded as important tools for an integrated strategy of infection containment in post-lockdown societies around the globe. This paper discusses a number of questions that should be addressed when assessing the ethical challenges of mobile applications for digital contact-tracing of COVID-19: Which safeguards should be designed in the technology? Who should access data? What is a legitimate role for “Big Tech” companies in the development and implementation of these systems? How should cultural and behavioural issues be (...) accounted for in the design of these apps? Should use of these apps be compulsory? What does transparency and ethical oversight mean in this context? We demonstrate that responses to these questions are complex and contingent and argue that if digital contract-tracing is used, then it should be clear that this is on a trial basis and its use should be subject to independent monitoring and evaluation. (shrink)

Mobile health is rapidly being implemented and changing our ways of doing, understanding and organising healthcare. mHealth includes wearable devices as well as apps that track fitness, offer wellness programmes or provide tools to manage chronic conditions. According to industry and policy makers, these systems offer efficient and cost-effective solutions for disease prevention and self-management. While this development raises many ethically relevant questions, so far mHealth has received only little attention in medical ethics. This paper provides an overview of bioethical (...) issues raised by mHealth and aims to draw scholarly attention to the ethical significance of its promises and challenges. We show that the overly positive promises of mHealth need to be nuanced and their desirability critically assessed. Finally, we offer suggestions to bioethicists to engage with this emerging trend in healthcare to develop mHealth to its best potential in a morally sound way. (shrink)

Previous simulation models have found positive effects of cognitive diversity on group performance, but have not explored effects of diversity in demographics (e.g., gender, ethnicity). In this paper, we present an agent-based model that captures two empirically supported hypotheses about how demographic diversity can improve group performance. The results of our simulations suggest that, even when social identities are not associated with distinctive task-related cognitive resources, demographic diversity can, in certain circumstances, benefit collective performance by counteracting two types of conformity (...) that can arise in homogeneous groups: those relating to group-based trust and those connected to normative expectations towards in-groups. (shrink)

The Critical Naturalism Manifesto is a common platform put forward as a basis for broad discussions around the problems faced by critical theory today. We are living in a time, e.g. a pandemic time, when present-day challenges exert immense pressure on social critique. This means that models of social critique should not be discussed from the point of view of their normative justification or political effects alone, but also with reference to their ability to tackle contemporary problematic issues (like the (...) dismantlement of the welfare state, the environmental catastrophe, and the sanitary crisis). With this manifesto, we invite varying practices of philosophical, artistic and scientific social critique to take seriously the enormous challenges our societies face with regard to inner and outer nature. We first identity eleven theses of critical naturalism which contemporary critical theory should take into consideration. We then identify the historical crises and catastrophes that critical naturalism seeks to respond to, dispelling the prejudices against naturalism in contemporary critical thought, and considering alternative answers to these questions such as social constructivism, accelerationism, xenofeminism, flat ontologism, and monist world ecology. By sketching the notions of nature and naturalism, we anchor critical naturalism in the history of materialism and critical theory, understood initially as that of the Frankfurt School, but expanded and enriched by other approaches to social critique. Finally, we sketch models and projects of critical naturalism, which are exemplary fragments of varying ways to practice naturalist social critique. (shrink)

Is ChatGPT a good teacher? Or could it be? As understanding is widely acknowledged as one of the fundamental aims of education, the answer to these questions depends on whether ChatGPT fosters or could foster the acquisition of understanding in its users. In this paper, I tackle this issue in two steps. In the first part of the paper, I explore and analyze the set of skills and social-epistemic virtues that a teacher must exemplify to perform her job well – (...) in those contexts in which epistemic aims are at play and in which understanding plays a pivotal role. In the second part of the paper, I put my conception of good teacher to test and deal with the question whether, and to which extent, the software ChatGPT is (or could serve as, if suitably modified or fine-tuned) a good teacher for its users. I close with some final reflections that point to further directions of research. -/- . (shrink)

ABSTRACT The article critically discusses Rahel Jaeggi’s recent philosophical contribution to a critical theory of capitalism. The first part reconstructs Jaeggi’s account of Lebensform, life-form, that builds up the main ontological framework for addressing and problematizing capitalism intended not as an economic system but as a social whole. The second part focuses on the three different theoretical strategies that Jaeggi puts forward to detect and deal with capitalism’s immanent flaws. The third and last part problematizes the metaphysical assumptions and implications (...) of Jaeggi’s understanding of life-form and outlines a more dialectical, or “transactional” notion of form of life, which is inspired by Dewey’s non-reductionist naturalist method of inquiry. The overall aim is to strengthen the philosophical critique of the capitalist form of life. (shrink)

Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Diffusion AI algorithms and generative image models on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that (...) are both realistic and imaginative, creating new possibilities for architectural design and aesthetics. This comprehensive overview of the impact of Diffusion AI algorithms and generative image models on the field of architecture shows how they are changing the way architects approach their work. With a foreword by Lev Manovich—artist, writer and one of the world's most influential digital culture theorists. Sharing the work and insights of a team of designers and theorists from a range of backgrounds, offering disciplinary depth, and covering the full impact of these tools and models on architecture, Diffusions in Architecture includes information on: Fresh perspectives on design and aesthetics, with designs, images, and commentary from 22 leading architects, theorists, and designersThe potential of prompt engineering and text-to-image models applicable to a broad interdisciplinary audienceWhether image generators, or AI in general, will be an aid for human design, or potentially displace humans from the market fundamentals of a larger debate in the architectural discourse (and practice) on the use of image generatorsCollecting the different ideas that have emerged in the field, Diffusions in Architecture provides architects, designers, concept artists, and theorists with an overview of this cornucopia of architectural imaginations produced in a common effort between humans and artificial intelligence. (shrink)

This paper addresses a problem that has so far been neglected by scholars investigating the ethics of Big Data and policy makers: that is the ethical implications of Big Data initiatives’ environmental impact. Building on literature in environmental studies, cultural studies and Science and Technology Studies, the article draws attention to the physical presence of data, the material configuration of digital service, and the space occupied by data. It then explains how this material and situated character of data raises questions (...) concerning the ethics of the increasingly fashionable Big Data discourses. It argues that attention should be paid to the vocabulary currently used when discussing the governance of data initiatives; the internal tension between current data initiatives and environmental policies; issues of fair distribution. The article explains how taking into account these aspects would allow for a more responsible behaviour in the context of data storage and production. (shrink)

This paper examines one aspect of the legacy of the Value-Free Ideal in conservation science: the view that measurements and metrics are value-free epistemic tools detached from ideological, ethical, social, and, generally, non-epistemic considerations. Contrary to this view, I will argue that traditional measurement practices entrenched in conservation are in fact permeated with non-epistemic values. I challenge the received view by revealing three non-epistemic assumptions underlying traditional metrics: (1) a human-environment demarcation, (2) the desirability of a people-free landscape, and (3) (...) the exclusion of cultural diversity from biodiversity. I also draw a connection between arguments for retaining traditional metrics to “scientific colonialism,” exemplified by a fortress conservation model. I conclude by advocating for abandoning the myth of the intrinsic value-freedom of measurement practices and embracing metrics aligned with societal and scientific goals. (shrink)

The research discussed in this paper centers around the convergence of extended reality (XR) platforms, computational design, digital fabrication, and critical urban study practices. Its aim is to cultivate interdisciplinary and multiscalar approaches within these domains. The research endeavor represents a collaborative effort between two primary disciplines: critical urban studies, which prioritize socio-environmental justice, and integrated digital design to production, which emphasize the realization of volumetric or voxel-based structural systems. Moreover, the exploration encompasses augmented reality to assess its utilization in (...) both the assembly process of the structures and the integration of phygital (physical and digital) data with the physical environment. Within the context of these research scopes, this paper introduces FabriCity-XR as an interactive phygital installation. In addition to presenting an overview of the integrated research driven and performative design to production methodologies, the project showcases the practical implementation of web-based augmented reality trails, eliminating the requirement for external applications for interaction. This approach allows users to seamlessly navigate and engage with phygital content overlaid on physical objects using their personal smart devices. The result is a captivating and immersive user experience that effectively merges the physical and digital realms. (shrink)

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

How much do animals matter--morally? Can we keep considering them as second class beings, to be used merely for our benefit? Or, should we offer them some form of moral egalitarianism? Inserting itself into the passionate debate over animal rights, this fascinating, provocative work by renowned scholar Paola Cavalieri advances a radical proposal: that we extend basic human rights to the nonhuman animals we currently treat as "things." Cavalieri first goes back in time, tracing the roots of the debate (...) from the 1970s, then explores not only the ethical but also the scientific viewpoints, examining the debate's precedents in mainstream Western philosophy. She considers the main proposals of reform that recently have been advanced within the framework of today's prevailing ethical perspectives. Are these proposals satisfying? Cavalieri says no, claiming that it is necessary to go beyond the traditional opposition between utilitarianism and Kantianism and focus on the question of fundamental moral protection. In the case of human beings, such protection is granted within the widely shared moral doctrine of universal human rights' theory. Cavalieri argues that if we examine closely this theory, we will discover that its very logic extends to nonhuman animals as beings who are owed basic moral and legal rights and that, as a result, human rights are not human after all. (shrink)

This article defends a specific account of reasonableness as a virtue of liberal citizenship. I specify an account of reasonableness that I argue is more consistent with the phenomenology of intersubjective exchanges among citizens over political matters in contexts of deep disagreement. My reading requires reasonable citizens to undertake an attitude of epistemic modesty while deliberating public matters with agents who hold views different from theirs. In contrast with my view, I debate Martha Nussbaum’s and Steven Wall’s accounts of reasonableness (...) and specify why I believe that these proposals, although interesting, both require revisions. Distinguishing my account from theirs, I specify the normative relation between reasonableness and a general framework of political legitimacy that identifies citizens as ‘co-authors of democratic decisions’. Here, I argue that the liberal ideal of ascribing to each member of the constituency the status of putative epistemic authority can be properly fulfilled if coupled with a correct specification of the political ideal of mutual respect. I conclude claiming that opacity respect, a notion of respect according to which the recognition respect that is owed to individuals is expressed by the idea that we have to treat them as ‘opaque’, is the most adequate concept of political respect when dealing with interpersonal deliberations at political level in contexts of deep disagreement. (shrink)

In Responsible Brains, Hirstein, Sifferd and Fagan apply the language of cognitive neuroscience to dominant understandings of criminal responsibility in criminal law theory. The Authors make a compelling case that, under such dominant understandings, criminal responsibility eventually ‘translates’ into a minimal working set of executive functions that are primarily mediated by the frontal lobes of the brain. In so arguing, the Authors seem to unquestioningly accept the law’s view of the “responsible person” as a mixture of cognitive capacities and mechanisms—thereby (...) leaving aside other fundamental aspects of individuals’ human agency. This commentary article offers a critique of the Authors’ rationalist and individualist approach. The critique can be summarized through the following claim: We humans, as responsible beings, are more than our executive functions. This claim articulates through four main points of discussion: role of emotions in moral judgments and behavior; executive functions and normative criteria for legal insanity; impact of adverse situational factors on executive functions; Authors’ account of punishment and, especially, rehabilitation. (shrink)

Machine learning algorithms are increasingly used to shape high-stake allocations, sparking research efforts to orient algorithm design towards ideals of justice and fairness. In this research on algorithmic fairness, normative theorizing has primarily focused on identification of “ideally fair” target states. In this paper, we argue that this preoccupation with target states in abstraction from the situated dynamics of deployment is misguided. We propose a framework that takes dynamic trajectories as direct objects of moral appraisal, highlighting three respects in which (...) such trajectories can be subject to evaluation in relation to their temporal dynamics, robustness, and representation. (shrink)

The paper sketches out an account of ambiguous and agonistic love by drawing on the work of Simone de Beauvoir, Axel Honneth and Hannah Arendt. To begin with, I reconstruct the ambiguity of love within the conceptual framework of a paradigm of recognition. I argue further that the social relation of love, understood as an intertwine between dependence and independence, entails a power dynamic. Insofar as the dynamic actualises as “power in concert” or “power with”, namely as mutual empowerment, love (...) unfolds as free love. Finally, I show how agonistic love is damaged by turning into violent domination. (shrink)

The paper examines definitions of ‘cause’ in the epidemiological literature. Those definitions all describe causes as factors that make a difference to the distribution of disease or to individual health status. In the philosophical jargon, causes in epidemiology are difference-makers. Two claims are defended. First, it is argued that those definitions underpin an epistemology and a methodology that hinge upon the notion of variation, contra the dominant Humean paradigm according to which we infer causality from regularity. Second, despite the fact (...) that causes be defined in terms of ‘difference-making’, this cannot fixes the causal metaphysics. Causality in epidemiology ought to be interpreted according to the epistemic theory. In this approach relations are deemed causal depending on the evidence and on the available methods. Indeed, evidence to establish causal claims requires difference-making considerations; furthermore, those definitions of cause reflect the ‘variational’ epistemology and methodology of epidemiology. (shrink)

A shared problem across the sciences is to make sense of correlational data coming from observations and/or from experiments. Arguably, this means establishing when correlations are causal and when they are not. This is an old problem in philosophy. This paper, narrowing down the scope to quantitative causal analysis in social science, reformulates the problem in terms of the validity of statistical models. Two strategies to make sense of correlational data are presented: first, a 'structural strategy', the goal of which (...) is to model and test causal structures that explain correlational data; second, a 'manipulationist or interventionist strategy', that hinges upon the notion of invariance under intervention. It is argued that while the former can offer a solution the latter cannot. (shrink)

Based on a study of the oil and gas industry, this article examines how physical impacts of climate change become events that firms notice and interpret in a way that leads to an active response to adapt to these impacts. Theoretically, the study draws on the attention-based view to highlight the potential biases that might occur as a consequence of firms’ preconceptions as well as organizational structure and context. In the empirical analysis, the article derives a model that explains the (...) influence of the attentional process on how awareness and perceived vulnerability lead firms to adopt either routine or non-routine measures to adapt to climate change. The article also explores the relevant underlying factors of awareness and perceived vulnerability. The findings suggest that how firms channel attention to climate events has a distinctive influence on the measures firms take to cope with physical impacts. The article concludes with implications for research, management practice, and policy makers. (shrink)