Machine learning algorithms pervade contemporary society. They are integral to social institutions, inform processes of governance, and animate the mundane technologies of daily life. Consistently, the outcomes of machine learning reflect, reproduce, and amplify structural inequalities. The field of fair machine learning has emerged in response, developing mathematical techniques that increase fairness based on anti-classification, classification parity, and calibration standards. In practice, these computational correctives invariably fall short, operating from an algorithmic idealism that does not, and cannot, address systemic, Intersectional (...) stratifications. Taking present fair machine learning methods as our point of departure, we suggest instead the notion and practice of algorithmic reparation. Rooted in theories of Intersectionality, reparative algorithms name, unmask, and undo allocative and representational harms as they materialize in sociotechnical form. We propose algorithmic reparation as a foundation for building, evaluating, adjusting, and when necessary, omitting and eradicating machine learning systems. (shrink)

This paper posits that organizational variables are the factors that lead to the moral decline of companies like Enron and Worldcom. The individuals involved created environments within the organizations that precipitated a spiral of unethical decision-making. It is proposed that at the executive level, it is the organizational factors associated with power and decision-making that have the critical influence on moral and ethical behavior. The study has used variables that were deemed to be surrogate measures of the ethical violations (OSHA (...) and EPA violations), the risky shift phenomenon (executive team size), banality of wrong-doing (reputation score for firms) and escalating commitment (tenure with the firm/change in revenue for declining firms). The research found that there were small correlations between ethical violations and the three organizational variables. (shrink)

Like Jeffrey Friedman's proposed postlibertarianism, mainstream libertarianism has always emphasized the consequences of alternative institutions for human well‐being. Mainstream libertarianism does, however, share some similarities with the radical libertarianism criticized by Friedman, as can be seen by considering possible answers to the questions Alec Nove recently posed for postlibertarians.

Can corporations remain socially responsible in today's fiercely competitive global economy? For several decades after World War II, companies like IBM, which exemplified what journalist Robert J. Samuelson called the 'good corporation,' poured forth material comforts and technological ideas while guaranteeing full employment and adequate retirement. In the 1980s all of that changed, as corporations moved to 'downsize' and become lean, mean global competitors. In this collection, thirteen prominent scholars in business ethics, finance, management, and religion and six corporate leaders (...) respond to a new essay by Samuelson that sounds the death knell of the 'good corporation.' They propose new approaches to corporate integrity and social responsibility in the global economy. The book will be useful in corporate workshops and will make an excellent business ethics text in philosophy departments and business schools. (shrink)

When "Aristotle on Emotion" was first published it showed how discussion within Plato's Academy led to a better understanding of emotional response, and how that understanding influenced Aristotle's work in rhetoric, poetics, politics and ethics. The subject has been much discussed since then: there are numerous articles, anthologies and large portions of books on emotion and related topics. In a new epilogue to this second edition, W.W. Fortenbaugh takes account of points raised by other scholars and clarifies some of his (...) earlier thoughts, focusing on the central issue: how Aristotle conceived of emotional response. Among other matters, he considers laughter, emotion in relation to belief and appearance, the effect of emotion on judgement, and the involvement of pain and pleasure in emotional response. (shrink)

Pleiotropy, in which one mutation causes multiple phenotypes, has traditionally been seen as a deviation from the conventional observation in which one gene affects one phenotype. Epistasis, or gene–gene interaction, has also been treated as an exception to the Mendelian one gene–one phenotype paradigm. This simplified perspective belies the pervasive complexity of biology and hinders progress toward a deeper understanding of biological systems. We assert that epistasis and pleiotropy are not isolated occurrences, but ubiquitous and inherent properties of biomolecular networks. (...) These phenomena should not be treated as exceptions, but rather as fundamental components of genetic analyses. A systems level understanding of epistasis and pleiotropy is, therefore, critical to furthering our understanding of human genetics and its contribution to common human disease. Finally, graph theory offers an intuitive and powerful set of tools with which to study the network bases of these important genetic phenomena. (shrink)

Contents: Stephen White: Opuscula and Opera in the Catalogue of Theophrastus' Works Han Baltussen: Theophrastean Echoes? The De Sensibus in the Platonic and Aristotelian Tradition Pamela M. Huby: Arabic Evidence about Theophrastus' De Sensibus Todd Ganson: A Puzzle Concerning the Aristotelian Notion of a Medium of Sense-Perception Istvan M. Bodnar: Theophrastus' De igne: Orthodoxy, Reform and Readjustment in the Doctrine of Elements Georg Wohrle: Ps-Aristoteles De Coloribus -aA Theophrastean Opusculum? David Sider: On On Signs - R.A.H. King: Nutrition and Fatigue (...) Amneris Roselli: Greek Medical Theories of Fatigue Sabine Vogt: Theophrast, De Vertigine Armelle Debru: La sueur des corps: le De sudore de Theophraste face a la tradition medicale John Dillon: Theophrastus' Critique of the Old Academy in the Metaphysics H. Takahashi: Syriac Fragments of Theophrastean Meteorology and Mineralogy Index Contributors and Editors. (Franz Steiner 2002). (shrink)

Sustained attention, a key cognitive skill that improves during childhood and adolescence, tends to be worse in some emotional and behavioural disorders. Sustained attention is typically studied in non-affective task contexts; here, we used a novel task to index performance in affective versus neutral contexts across adolescence (N = 465; ages 11–18). We asked whether: (i) performance would be worse in negative versus neutral task contexts; (ii) performance would improve with age; (iii) affective interference would be greater in younger adolescents; (...) (iv) adolescents at risk for depression and higher in anxiety would show overall worse performance; and (v) would show differential performance in negative contexts. Results indicated that participants performed more poorly in negative contexts and showed age-related performance improvements. Those at risk of depression performed more poorly than those at lower risk. However, there was no difference between groups as a result of affective context. For anxiety there was no difference in performance as a function of severity. However, those with higher anxiety showed less variance in their reaction times to negative stimuli than those with lower anxiety. One interpretation is that moderate levels of emotional arousal associated with anxiety make individuals less susceptible to the distracting effects of negative stimuli. (shrink)

In the past two decades, reinforcement learning has become a popular framework for understanding brain function. A key component of RL models, prediction error, has been associated with neural signals throughout the brain, including subcortical nuclei, primary sensory cortices, and prefrontal cortex. Depending on the location in which activity is observed, the functional interpretation of prediction error may change: Prediction errors may reflect a discrepancy in the anticipated and actual value of reward, a signal indicating the salience or novelty of (...) a stimulus, and many other interpretations. Anterior cingulate cortex has long been recognized as a region involved in processing behavioral error, and recent computational models of the region have expanded this interpretation to include a more general role for the region in predicting likely events, broadly construed, and signaling deviations between expected and observed events. Ongoing modeling work investigating the interaction between ACC and additional regions involved in cognitive control suggests an even broader role for cingulate in computing a hierarchically structured surprise signal critical for learning models of the environment. The result is a predictive coding model of the frontal lobes, suggesting that predictive coding may be a unifying computational principle across the neocortex. (shrink)

Vladimir Solov'ev (1853-1900- is regarded as the most original and systematic of the Russian philosophers in the 19th century. He has once again become the subject of international scholarly attention both in Slavic countries and the West. This volume contains selected papers presented at the international conference on Vladimir Solov'ev held at Nijmegen University, the Netherlands, in September 1998. The scope of this conference was wide-ranging, dealing with theological, metaphysical, philosophical and historical themes. Though Solov'ev's broad intellectual activity defies any (...) strict attempt at categorisation, the editors have classified its major themes under the dual characteristic of reconciliation and polemics. Solov'ev was passionately committed to the reconciliation of all beings under the idea of all-unity, which he attemted to achieve by engaging in uncompromising polemics with his contemporaries, The thirty contributors to this volume are specialists from Russia, Ukraine, Bulgaria, Western Europe and the United States. The volume makes a significant contribution to the intellectual reassesment of Vladimir Solov'ev since the rediscovery of his philosophical heritage in his own homeland in the 1980s. (shrink)