Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report on the (...) difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence? (shrink)

The COVID-19 pandemic has been overwhelming public health-care systems around the world. With demand exceeding the availability of medical resources in several regions, hospitals have been forced to invoke triage. To ensure that this difficult task proceeds in a fair and organised manner, governments scrambled experts to draft triage guidelines under enormous time pressure. Although there are similarities between the documents, they vary considerably in how much weight their respective authors place on the different criteria that they propose. Since most (...) of the recommendations do not come with ethical justifications, analysing them requires that one traces back these criteria to their underlying theories of distributive justice. In the literature, COVID-19 triage has been portrayed as a value conflict solely between utilitarian and egalitarian elements. While these two accounts are indeed the main antipodes, I shall show that in fact all four classic theories of distributive justice are involved: utilitarianism, egalitarianism, libertarianism, and communitarianism. Detecting these in the documents and classifying the suggested criteria accordingly enables one to understand the balancing between the different approaches to distributive justice—which is crucial for both managing the current pandemic and in preparation for the next global health crisis. (shrink)

Good physical experiments conform to the basic methodological standards of experimental design: they are objective, reliable, and valid. But is this also true of thought experiments? Especially problems of personal identity have engendered hypothetical scenarios that are very distant from the actual world. These imagined situations have been conspicuously ineffective at resolving conflicting intuitions and deciding between the different accounts of personal identity. Using prominent examples from the literature, I argue that this is due to many of these thought experiments (...) not adhering to the methodological standards that guide experimental design in nearly all other disciplines. I also show how empirically unwarranted background assumptions about human physiology render some of the hypothetical scenarios that are employed in the debate about personal identity highly misleading. (shrink)

The Planteome project provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology, and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides (...) access to species-specific Crop Ontologies developed by various plant breeding and research communities from around the world. We provide integrated data on plant traits, phenotypes, and gene function and expression from 95 plant taxa, annotated with reference ontology terms. (shrink)

Meier’s Gedancken von dem Zustande der Seele nach dem Tode (Gedancken) deserves a prominent place among treatments of the immortality of the soul in 18th century German philosophy, both within and without the Wolffian tradition of rational psychology. It does not wilt next to Mendelssohn’s Phädon in its quality of expression, and might even be compared with Kant’s discussion in the Paralogisms chapter of his Kritik der reinen Vernunft in terms of the boldness of its argument and its philosophical rigour. (...) The Gedancken contributed greatly to Meier’s growing reputation as an original thinker and helped him emerge from the shadow of his famous colleague in the philosophy faculty at the Friedrichs-Universität in Halle, Christian Wolff; moreover, it provoked detailed responses on the part of its critics and even made Meier himself the subject of official investigation as an accused aider and abettor of freethinkers. Meier’s Gedancken thus stands as a work of central importance within his own philosophical corpus and in the history of 18th century German rational psychology more generally. Accordingly, in this Introductory Essay, I will present the context and argument, as well as the reception, of the Gedancken, and then consider Meier’s subsequent defense of his controversial text. (shrink)

The purpose of this work is to outline a new approach to the debate on structural realism. This position has been criticized in the recent literature. First, the two arguments which led to the introduction of structural realism into the debate on scientific realism are introduced, namely, the “no-miracles Second, argument” the and framework the of “pessimistic structuralist meta induction”. meta-theory is introduced in order to argue as follows. Once this framework is adapted, it is possible to respond to the (...) critiques that have been made to structural realism and to clarify this position, especially the notion of structural continuity. (shrink)