Eric Crégheur, Jonathan Bourgel, Lucian Dîncă, Louis Painchaud, George Simons Pardo, Dominic Perron, Paul-Hubert Poirier †, Gaëlle Rioual, Simon St-Arnaud-Chiasson, Eric P. Tchamdja, Philippe Therrien, Yann Vadnais et Jonathan I. von Kodar.

The use of the human microbiome as a subject of study for forensic purposes raises a number of issues, ranging from a challenge to our traditional concept of identity to respect for privacy and the type of consent to be obtained when a microbiome sample is taken. The particular nature of this study requires the joint work of a multidisciplinary team made up of specialists in ethics, forensic science, law, microbiology, philosophy and political science.

The immediate and guiding aim of this book is to introduce the contemporary reader to the work and thought of Simone Weil.

: In the commentaries, a number of intriguing projections of Future State Maximization on a multitude of different systems are suggested, which raised the need to clarify certain ….

This book is the first systematic treatment of the strengths and limitations of personal and a-personal conceptions of the divine. It features contributions from Jewish, Islamic, Chinese, Indian and naturalistic backgrounds in addition to those working within a decidedly Christian framework. This book discusses whether the concept of God in classical theism is coherent at all and whether the traditional understanding of some of the divine attributes need to be modified. The contributors explore what the proposed spiritual and practical merits (...) and demerits of personal and a-personal conceptions of God might be. Additionally, their diverse perspectives reflect a broader trend within the analytic philosophy of religion to incorporate various non-Western religious traditions. Tackling these issues carefully is needed to do justice to the strengths and limitations of personal and a-personal accounts to the divine. The Divine Nature: Personal and A-Personal Perspectives will be of interest to scholars and advanced students working in philosophy of religion and philosophical theology. (shrink)

Context: Many AI and machine-learning techniques are primarily focused on past-to-future extrapolations of statistical regularities in large amounts of data. We introduce a method that builds on an….

When bad people do bad things -- When well-intentioned, basically good people do harm -- When good people don't do enough -- When decent people fail the character test -- Beliefs and behavior -- Faith and the human condition.

Anthropological insights into the use of race/ethnicity to explore genetic contributions to disparities in health were developed using in-depth qualitative interviews with editorial staff from nineteen genetics journals, focusing on the methodological and conceptual mechanisms required to make race/ethnicity a genetic variable. As such, these analyses explore how and why race/ethnicity comes to be used in the context of genetic research, set against the background of continuing critiques from anthropology and related human sciences that focus on the social construction, structural (...) correlates and limited genetic validity of racial/ethnic categories. The analyses demonstrate how these critiques have failed to engage geneticists, and how geneticists use a range of essentially cultural devices to protect and separate their use of race/ethnicity as a genetic construct from its use as a societal and social science resource. Given its multidisciplinary, biosocial nature and the cultural gaze of its ethnographic methodologies, anthropology is well placed to explore the cultural separation of science and society, and of natural and social science disciplines. Anthropological insights into the use of race/ethnicity to explore disparities in health suggest that moving beyond genetic explanations of innate difference might benefit from a more even-handed critique of how both the natural and social sciences tend to essentialize selective elements of race/ethnicity. Drawing on the example of HIV/AIDS, this paper demonstrates how public health has been undermined by the use of race/ethnicity as an analytical variable, both as a cipher for innate genetic differences in susceptibility and response to treatment, and in its use to identify at greater risk of becoming infected and infecting others. Clearly, a tendency for biological reductionism can place many biomedical issues beyond the scope of public health interventions, while socio-cultural essentialization has tended to stigmatize and the communities where these are more prevalent. (shrink)

Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor–patient relationships, trust is therefore regularly suggested as a way of dealing with the risks of medical artificial intelligence (AI). Yet, this approach has come under charge from different angles. At least two lines of thought can be distinguished: (1) that trusting AI is conceptually confused, that is, that we cannot trust AI; and (2) (...) that it is also dangerous, that is, that we should not trust AI—particularly if the stakes are as high as they routinely are in medicine. In this paper, we aim to defend a notion of trust in the context of medical AI against both charges. To do so, we highlight the technically mediated intentions manifest in AI systems, rendering trust a conceptually plausible stance for dealing with them. Based on literature from human–robot interactions, psychology and sociology, we then propose a novel model to analyse notions of trust, distinguishing between three aspects: reliability, competence, and intentions. We discuss each aspect and make suggestions regarding how medical AI may become worthy of our trust. (shrink)

Bioethics, Volume 36, Issue 2, Page 154-161, February 2022.

Das deutsche Gesundheitswesen steht durch die schnell steigende Anzahl an CO- VID-19-Erkrankten vor erheblichen Herausforderungen. In dieser Krisensituation sind alle Beteiligten mit ethischen Fragen konfrontiert, beispielsweise nach gerech- ten Verteilungskriterien bei begrenzten Ressourcen und dem gesundheitlichen Schutz des Personals angesichts einer bisher nicht therapierbaren Erkrankung. Daher werden schon jetzt klinische und ambulante Ethikberatungsangebote verstärkt mit Anfragen nach Unterstützung konfrontiert. Wie können Ethikberater*innen Entscheidungen in der Krankenversorgung im Rahmen der COVID-19-Pandemie unterstützen? Welche Grenzen von Ethikberatung sind zu beachten? Bislang liegen hierzu (...) noch wenige praktische Erfahrungen vor. Angesichts der dynamischen Entwicklung erscheint es der Akademie für Ethik in der Medizin (AEM) wichtig, einen Diskurs über die angemessene Rolle der Ethikberatung bei der Bewältigung der vielfachen Heraus- forderungen durch die COVID-19-Pandemie zu führen und professionelle Hinweise zu geben. Mit dem vorliegenden Diskussionspapier möchte die AEM einen Beitrag zur Beantwortung wesentlicher Fragen leisten, die sich für die Ethikberatung in den verschiedenen Bereichen des Gesundheitswesens stellen. Sie regt an, diesen Dis- kurs weiter zu führen und hat ein Online-Forum (s. unten) eingerichtet, in dem Ethikberater*innen ihre Erfahrungen teilen und die professionelle Selbstreflexion der Ethikberatung in Pandemiezeiten mit Anregungen fördern können. (shrink)

The ability to reason independently from one's own goals or beliefs has long been recognised as a key characteristic of the development of formal operational thought. In this article we present the results of a study that examined the correlates of this ability in a group of 10-year-old children ( N = 61). Participants were presented with conditional and relational reasoning items, where the content was manipulated such that the conclusion to the arguments were either congruent, neutral, or incongruent with (...) beliefs, and either logically valid or logically invalid. Participants also received a measure of working memory capacity (the counting span task) and a measure of inhibitory control (the stop signal task). Indices of belief bias and logical reasoning on belief-based problems were predicted independently by both measures. In contrast logical reasoning on belief neutral problems was predicted by working memory alone. The findings suggest that executive functions play a key role in the development of children's ability to decontextualise their thinking. (shrink)

At the forefront of international concerns about global legislation and regulation, a host of noted environmentalists and business ethicists examine ethical issues in consumption from the points of view of environmental sustainability, economic development, and free enterprise.

Contrairement à une tendance majoritaire de l’exégèse du vocabulaire de la douleur dans le Corpus hippocratique (CH), qui le réduit à trois familles de mots et qui conçoit la douleur chez les médecins hippocratiques comme un phénomène exclusivement physique, nous avons des raisons de penser qu’on peut trouver plusieurs manières de signifier la douleur dans le CH et que les médecins hippocratiques ont thématisé des éléments émotionnels dans leurs diagnostics de la douleur.

The increasing integration of Machine Learning (ML) techniques into clinical care, driven in particular by Deep Learning (DL) using Artificial Neural Nets (ANNs), promises to reshape medical practice on various levels and across multiple medical fields. Much recent literature examines the ethical consequences of employing ML within medical and psychiatric practice but the potential impact on psychiatric diagnostic systems has so far not been well-developed. In this article, we aim to explore the challenges that arise from the recent use of (...) ANNs for the old problems of psychiatric nosology. To enable an empirically supported critical reflection on the topic, we conducted semi-structured qualitative interviews with Swiss and German experts in computational psychiatry. Here, we report our findings structured around two themes, namely (1) the possibility of using ML for defining or refining of psychiatric classification, and (2) the desirability of employing ML for psychiatric nosology. We discuss these themes by relating them to recent debates about network theory for psychiatric nosology and show why empirical research in the field should critically reflect on its contribution to psychopathology research. In sum, we argue that beyond technical, regulatory, and ethical challenges, philosophical reflection is crucial to harness the potential of ML in psychiatry. (shrink)

Neuroenhancement involves the use of neurotechnologies to improve cognitive, affective or behavioural functioning, where these are not judged to be clinically impaired. Questions about enhancement have become one of the key topics of neuroethics over the past decade. The current study draws on in-depth public engagement activities in ten European countries giving a bottom-up perspective on the ethics and desirability of enhancement. This informed the design of an online contrastive vignette experiment that was administered to representative samples of 1000 respondents (...) in the ten countries and the United States. The experiment investigated how the gender of the protagonist, his or her level of performance, the efficacy of the enhancer and the mode of enhancement affected support for neuroenhancement in both educational and employment contexts. Of these, higher efficacy and lower performance were found to increase willingness to support enhancement. A series of commonly articulated claims about the individual and societal dimensions of neuroenhancement were derived from the public engagement activities. Underlying these claims, multivariate analysis identified two social values. The Societal/Protective highlights counter normative consequences and opposes the use enhancers. The Individual/Proactionary highlights opportunities and supports use. For most respondents these values are not mutually exclusive. This suggests that for many neuroenhancement is viewed simultaneously as a source of both promise and concern. (shrink)