Broad in its geographic scope and yet grounded in original archival research, this book situates the inception of modern aesthetic theory – the philosophical analysis of art and beauty - in theological contexts that are crucial to explaining why it arose. Simon Grote presents seminal aesthetic theories of the German and Scottish Enlightenments as outgrowths of a quintessentially Enlightenment project: the search for a natural 'foundation of morality' and a means of helping naturally self-interested human beings transcend their own (...) self-interest. This conclusion represents an important alternative to the standard history of aesthetics as a series of preludes to the achievements of Immanuel Kant, as well as a reinterpretation of several canonical figures in the German and Scottish Enlightenments. It also offers a foundation for a transnational history of the Enlightenment without the French philosophes at its centre, while solidly endorsing historians' growing reluctance to call the Enlightenment a secularising movement. (shrink)

In recent years, a plethora of high-profile scientific publications has been reporting about machine learning algorithms outperforming clinicians in medical diagnosis or treatment recommendations. This has spiked interest in deploying relevant algorithms with the aim of enhancing decision-making in healthcare. In this paper, we argue that instead of straightforwardly enhancing the decision-making capabilities of clinicians and healthcare institutions, deploying machines learning algorithms entails trade-offs at the epistemic and the normative level. Whereas involving machine learning might improve the accuracy of medical (...) diagnosis, it comes at the expense of opacity when trying to assess the reliability of given diagnosis. Drawing on literature in social epistemology and moral responsibility, we argue that the uncertainty in question potentially undermines the epistemic authority of clinicians. Furthermore, we elucidate potential pitfalls of involving machine learning in healthcare with respect to paternalism, moral responsibility and fairness. At last, we discuss how the deployment of machine learning algorithms might shift the evidentiary norms of medical diagnosis. In this regard, we hope to lay the grounds for further ethical reflection of the opportunities and pitfalls of machine learning for enhancing decision-making in healthcare. (shrink)

Best known for his influential History of Greece, the historian and politician George Grote wrote this account of Plato's dialogues as a philosophical supplement to the History. First published in 1865 and written in dialogic form, Grote's account of Plato's works includes substantial footnotes and marginalia. This first volume focuses on Plato's early and transitional dialogues, all of which feature Socrates. It also includes a preface to the whole project which discusses the meaning and importance of philosophy itself, (...) and extensive introductory material on pre-Socratic philosophy, the life of Plato and history of the Platonic canon. With three volumes each running to over six hundred pages, Grote's scholarship is formidably comprehensive. The publication of Plato and the Other Companions of Sokrates confirmed him as one of the greatest authorities on Plato in the nineteenth century. (shrink)

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.

In recent years, there has been a surge of high-profile publications on applications of artificial intelligence (AI) systems for medical diagnosis and prognosis. While AI provides various opportunities for medical practice, there is an emerging consensus that the existing studies show considerable deficits and are unable to establish the clinical benefit of AI systems. Hence, the view that the clinical benefit of AI systems needs to be studied in clinical trials—particularly randomised controlled trials (RCTs)—is gaining ground. However, an issue that (...) has been overlooked so far in the debate is that, compared with drug RCTs, AI RCTs require methodological adjustments, which entail ethical challenges. This paper sets out to develop a systematic account of the ethics of AI RCTs by focusing on the moral principles of clinical equipoise, informed consent and fairness. This way, the objective is to animate further debate on the (research) ethics of medical AI. (shrink)

POHLMAN S, CIBULKA NJ, PALMER JL, LORENZ RA and SMITHBATTLE L. Nursing Inquiry 2013; 20: 71–81 The placebo puzzle: examining the discordant space between biomedical science and illness/healingThe placebo response presents an enigma to biomedical science: how can ‘inert’ or ‘sham’ procedures reduce symptoms and produce physiological changes that are comparable to prescribed treatments? In this study, we examine this puzzle by explicating the discordant space between the prevailing biomedical paradigm, which focuses on a technical understanding of diagnosis and (...) treatment, and a broader understanding of illness and healing as relational and embodied. Although biomedical achievements are impressive, the knowledge resulting from this paradigm is limited by its ontological and epistemological assumptions. When the body and world are objectified, illness meanings, therapeutic relationships, and healing practices are dismissed or distorted. In spite of a robust critique of the tenets of biomedicine for guiding practice, the biomedical paradigm retains a tenacious hold on evidence-based medicine and nursing, downplaying our clinical understanding of the sentient body, patients’ life-worlds, and illness and healing. In reality, skilled nurses rely on multiple forms of knowledge in providing high-quality care to particular patients. Clinically wise nurses integrate their experience and knowledge of patients’ priorities, fears, and illness trajectories along with biomedical findings to make astute judgments and promote health and healing. (shrink)

There is much to learn from Durán and Jongsma’s paper.1 One particularly important insight concerns the relationship between epistemology and ethics in medical artificial intelligence. In clinical environments, the task of AI systems is to provide risk estimates or diagnostic decisions, which then need to be weighed by physicians. Hence, while the implementation of AI systems might give rise to ethical issues—for example, overtreatment, defensive medicine or paternalism2—the issue that lies at the heart is an epistemic problem: how can physicians (...) know whether to trust decisions made by AI systems? In this manner, various studies examining the interaction of AI systems and physicians have shown that without being able to evaluate their trustworthiness, especially novice physicians become over-reliant on algorithmic support—and ultimately are led astray by incorrect decisions.3–5 This leads to a second insight from the paper, namely that even if some AI system happens to be opaque, it is still not built on the moon. To assess its trustworthiness, AI developers or physicians have different sorts of higher order evidence at hand. Most importantly, …. (shrink)

I would recommend this book to anyone wanting to major in business or start their own company.

Cheaters and noncheaters were assessed on 2 types of motivation, on perceived social norms regarding cheating, on attitudes about cheating, and on knowledge of institutional policy regarding cheating behavior. All 5 factors were significant predictors of cheating rates. In addition, cheaters were found lower in mastery motivation and higher in extrinsic motivation in courses in which they cheated than in courses in which they did not cheat. Cheaters, in courses in which they cheated, were also lower in mastery motivation and (...) higher in extrinsic motivation than were noncheaters. Finally, cheaters differed from noncheaters on perceived social norms regarding cheating, on their knowledge of institutional policy regarding cheating, and on their attitudes toward cheating. Implications of these findings for institutional interventions are discussed. (shrink)

Topics in Cognitive Science, Volume 13, Issue 1, Page 243-247, January 2021.

This essay considers how scholarly approaches to the development of molecular biology have too often narrowed the historical aperture to genes, overlooking the ways in which other objects and processes contributed to the molecularization of life. From structural and dynamic studies of biomolecules to cellular membranes and organelles to metabolism and nutrition, new work by historians, philosophers, and STS scholars of the life sciences has revitalized older issues, such as the relationship of life to matter, or of physicochemical inquiries to (...) biology. This scholarship points to a novel molecular vista that opens up a pluralist view of molecularizations in the twentieth century and considers their relevance to current science. (shrink)

The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, diagnosis, and treatment, of medical conditions. However, there is growing concern that algorithmic bias may perpetuate or exacerbate existing health inequalities. Hence, it matters that we make precise the different respects in which algorithmic bias can arise in medicine, and also make clear the normative relevance of these different kinds of algorithmic bias for broader questions about justice and fairness in healthcare. (...) In this paper, we provide the building blocks for an account of algorithmic bias and its normative relevance in medicine. (shrink)

In light of recent advances in machine learning for medical applications, the automation of medical diagnostics is imminent. That said, before machine learning algorithms find their way into clinical practice, various problems at the epistemic level need to be overcome. In this paper, we discuss different sources of uncertainty arising for clinicians trying to evaluate the trustworthiness of algorithmic evidence when making diagnostic judgments. Thereby, we examine many of the limitations of current machine learning algorithms (with deep learning in particular) (...) and highlight their relevance for medical diagnostics. Among the problems we inspect are the theoretical foundations of deep learning (which are not yet adequately understood), the opacity of algorithmic decisions, and the vulnerabilities of machine learning models, as well as concerns regarding the quality of medical data used to train the models. Building on this, we discuss different desiderata for an uncertainty amelioration strategy that ensures that the integration of machine learning into clinical settings proves to be medically beneficial in a meaningful way. (shrink)

Wie kann man einen historischen Blick auf das eigene Fach werfen? Diese Frage ist nicht einfach zu beantworten – will man einerseits nicht in einer Nabelschau und Hagiographie enden, andererseits aber auch keinen umfassenden Entwurf einer zukünftigen Historiographie vorlegen. Die hier als Bausteine zu einer Oral History der Wissenschaftsgeschichte in loser Folge publizierten Interviews mit bekannten Protagonisten der Berliner Wissenschaftsgeschichte von ca. 1970–1990 in West und Ost rücken die Geschichte des Faches deshalb in einem bestimmten Milieu in den Fokus und (...) versuchen, die Historiographie jenseits einer Institutionen‐ oder Theoriegeschichte voranzutreiben. Welche Motivationen oder Probleme bewegten einzelne Wissenschaftler:innen, sich der Geschichte ihres Faches zu widmen oder sich etwa aus der Soziologie oder Philosophie in die Wissenschaftsgeschichte zu bewegen? Welche Ausbildungspraxen existierten in diesem heterogenen, zwischen den Disziplinen angesiedelten Feld, welche Anregungen bezog man aus welchen Kontexten? Wie war Lehre strukturiert und welche Netzwerke bildeten sich mit der Zeit? Kurz: Mit welchem Interesse kam man zur Wissenschaftsgeschichte und was wurde daraus? Die Auswahl der Interviewees erfolgt ohne Anspruch auf Vollständigkeit oder Proporz; der Fragenkatalog der Interviews richtet sich individuell nach den Biographien und dem Werk und entfaltet sich oft spontan im Gespräch. Die Interviews wurden digital aufgezeichnet, transkribiert, der Schriftsprache angepasst, gegebenenfalls gekürzt, annotiert und von den Interviewees authentifiziert. Wir beabsichtigen mit dieser Serie von Interviews zunächst die Dokumentation rezenter Geschichte durch eine Oral History, die subjektive Wahrnehmungen und persönliche Erlebnisse einschließt. Auf diese Weise werden Segmente einer größtenteils ungeschriebenen Geschichte anhand von Biographien erfahrbar und damit auch einer weiteren kritischen Bearbeitung und Integration in ein Gesamtbild zugänglich. Da uns im Zuge der jeweiligen Vorbereitung und Durchführung, Transkription und Abstimmung der Interviews daran gelegen war, aus Sicht der Akteure wichtige Sammelbände und Aufsätze, Graue Literatur oder Monographien zu erfassen, wird nebenbei eine kommentierte Bibliographie zur Geschichte der Wissenschaftsgeschichte entstehen. Unsere Hoffnung besteht darin, mittels dieser Sammlung mit Berlin einen fruchtbaren Raum und mit den 1970er und 1980er Jahren eine produktive Zeit des Faches jenseits von Reminiszenz oder Nostalgie zu erkunden nicht zuletzt auch, um den Blick für gegenwärtige Herausforderungen des Faches zu schärfen.Mathias Grote, Anke te Heesen. (shrink)

Subject of the Moment, Reloaded. The catalogue of Ludwig Darmstaedter's document collection, which contains sources as well as a categorization conspicuous of a history of knowledge avant la lettre, invites for a revisiting of the history of our discipline, thereby asking for its current role in academia and beyond. We argue that as historians of science or as historians of knowledge, our discipline disposes of the tools and topics necessary to respond to urgent epistemic and political problems.

The term robustness is ubiquitous in modern Machine Learning (ML). However, its meaning varies depending on context and community. Researchers either focus on narrow technical definitions, such as adversarial robustness, natural distribution shifts, and performativity, or they simply leave open what exactly they mean by robustness. In this paper, we provide a conceptual analysis of the term robustness, with the aim to develop a common language, that allows us to weave together different strands of robustness research. We define robustness as (...) the relative stability of a robustness target with respect to specific interventions on a modifier. Our account captures the various sub-types of robustness that are discussed in the research literature, including robustness to distribution shifts, prediction robustness, or the robustness of algorithmic explanations. Finally, we delineate robustness from adjacent key concepts in ML, such as extrapolation, generalization, and uncertainty, and establish it as an independent epistemic concept. (shrink)

Bioethics, Volume 36, Issue 2, Page 134-142, February 2022.

Berichte zur Wissenschaftsgeschichte, EarlyView.

Nach dem Monumentum Ancyranum, Apolloniense und Antiochenum. Die philosophischen, biographischen und poetischen Werke des Kaisers Augustus sind verloren. Erhalten ist nur sein Rechenschaftsbericht, der einst auf Bronzetafeln vor seinem Mausoleum in Rom aufgestellt war. Eine Abschrift des Originals, von dem keinerlei Reste überliefert sind, wurde in Ancyra gefunden, weshalb die Inschrift als "Monumentum Ancyranum" bezeichnet wird. Eine weitere lateinische Kopie - das Monumentum Antiochenum - und eine griechische Übersetzung - das Monumentum Apolloniense - sind in Bruchstücken erhalten. Beide Überlieferungen, (...) die lateinische und die griechische, sind hier dem deutschen Text gegenübergestellt. Eine große Anzahl antiker Zeugnisse - Zitate aus der Literatur, Inschriften, Münzlegenden -, die ebenfalls aufgenommen wurden, geben die Möglichkeit des unmittelbaren Vergleichs mit der Parallelüberlieferung. Mit Einführung, Erläuterungen, Literaturhinweisen und Register. (shrink)

This paper develops an account of how the implementation of ML models into healthcare settings requires revising the methodological apparatus of philosophical bioethics. On this account, ML models are cognitive interventions that provide decision-support to physicians and patients. Due to reliability issues, opaque reasoning processes, and information asymmetries, ML models pose inferential problems for them. These inferential problems lay the grounds for many ethical problems that currently claim centre-stage in the bioethical debate. Accordingly, this paper argues that the best way (...) to make progress in remedying these ethical problems is to distil their epistemic core and to identify appropriate epistemic norms as guardrails. The viability of this approach will be highlighted based on four key issues: trust, responsibility, paternalism, and fairness. In that respect, the paper also contributes to a more pronounced view of the specific methodological challenges for ethical theorizing, when the point of reference are complex statistical models that make predictions, rather than individual agents, acting for reasons. (shrink)

This paper develops an account of the opacity problem in medical machine learning (ML). Guided by pragmatist assumptions, I argue that opacity in ML models is problematic insofar as it potentially undermines the achievement of two key purposes: ensuring generalizability and optimizing clinician–machine decision-making. Three opacity amelioration strategies are examined, with explainable artificial intelligence (XAI) as the predominant approach, challenged by two revisionary strategies in the form of reliabilism and the interpretability by design. Comparing the three strategies, I argue that (...) interpretability by design is most promising to overcome opacity in medical ML. Looking beyond the individual opacity amelioration strategies, the paper also contributes to a deeper understanding of the problem space and the solution space regarding opacity in medical ML. (shrink)

Deliberate and indiscriminate targeting of civilians, most particularly in a non-war environment, is an unjustifiable form of violence that can be defeated most effectively through multilateral efforts, according to Norton.

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be (...) preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

Best known for his influential History of Greece, the historian and politician George Grote wrote this account of Plato's dialogues as a philosophical supplement to the History. First published in 1865, Grote's account of Plato's works includes substantial footnotes and marginalia. With three volumes each running to over six hundred pages, Grote's scholarship is formidably comprehensive. Volume 1, which includes a general preface and extensive introductory material, focuses on Plato's early and transitional dialogues, all of which feature (...) Sokrates. Volume 2 covers the transitional and middle dialogues including Gorgias and Symposium. Volume 3 contains extensive treatments of the Republic and the Laws as well as later dialogues and apocryphal works. It also contains the index to all three volumes. The publication of Plato and the Other Companions of Sokrates confirmed Grote as one of the greatest authorities on Plato in the nineteenth century. (shrink)

Broadly defined as adherence to teachings of Christian Wolff (1679–1754), Wolffianism characterized much of the mainstream of German academic philosophy for at least half the eighteenth century. German Pietism, by contrast, defined in its narrowest sense as a late-seventeenth- and eighteenth-century movement for the renewal of the Lutheran Churches of the Holy Roman Empire, has long figured in the history of German “Enlightenment” philosophy as Wolffianism’s anti-philosophical, religious foil. The conventional portrait of Wolffianism and Pietism as antithetical to one another, (...) which has long structured the historiography of eighteenth-century German philosophy, is by no means implausible, but it has been undermined over the past several decades by a significant and growing body of new research. This essay offers a panoramic survey and critical assessment of the state of the field. (shrink)

Contrary to the view that Francis Hutcheson attempted to expound, defend, and further develop the philosophical system described in Shaftesbury's Characteristics, some contemporaries of Hutcheson considered Hutcheson's differences from Shaftesbury to be at least as profound as the similarities. The clearest descriptions of those differences can be found in William Leechman's preface to Hutcheson's 1755 System of Moral Philosophy, and more elaborately in a review of Hutcheson's System, probably by Hugh Blair, published in the 1755 Edinburgh Review. Examining Shaftesbury's and (...) Hutcheson's moral philosophies in light of these two descriptions reveals that Shaftesbury's defense of virtue as natural to human beings, while a plausible response to Locke, clearly did not escape Hutcheson's censure of Epicurean egoism. (shrink)

ON THE ORIGIN AND NATURE OF ETHICAL SENTIMENT. Of all the remaining productions of the ancient world, there is nothing which is more characteristic and ...

Open peer commentary on the article “Ontology, Reality and Construction in Niklas Luhmann’s Theory” by Krzysztof C. Matuszek. Upshot: The question of whether contingency can be limited concerns the foundations of sociological systems theory as a theory of cognition. This commentary argues that while such limits may seem plausible and apparent at first, they would consequentially give rise to an ontological notion of society within society. Rather, the commentary proposes to understand the limits identified in the target article as social (...) functions structuring expectations in situations of double contingency. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain (...) in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

Microbial diversity has become a leitmotiv of contemporary microbiology, as epitomized in the concept of the microbiome, with significant consequences for the classification of microbes. In this paper, I contrast microbiology’s current diversity ideal with its influential predecessor in the twentieth century, that of purity, as epitomized in Robert Koch’s bacteriological culture methods. Purity and diversity, the two polar opposites with regard to making sense of the microbial world, have been operationalized in microbiological practice by tools such as the “clean” (...) Petri dish versus the “dirty” Winogradsky column, the latter a container that mimics, in the laboratory, the natural environment that teems with diverse microbial life. By tracing the impact of the practices and concepts of purity and diversity on microbial classification through a history of techniques, tools, and manuals, I show the shifts in these concepts over the last century. Juxtaposing the dominant purity ideal with the more restricted, but continuously articulated, diversity ideal in microbial ecology not only provides a fresh perspective on microbial classification that goes beyond its intellectual history, but also contextualizes the present focus on diversity. By covering the period of a century, this paper outlines a revised longue durée historiography that takes its inspiration from artifacts, such as Petri dish and the Winogradsky column, and thereby simple, but influential technologies that often remain invisible. This enables the problem of historical continuity in modern science to be addressed and the accelerationist narratives of its development to be countered. (shrink)