Purpose: Explore public attitudes towards the trade-offs between justice and medical outcome inherent in organ allocation decisions.Background: The US Task Force on Organ Transplantation recommended that considerations of justice, autonomy and medical outcome be part of all organ allocation decisions. Justice in this context may be modeled as a function of three types of need, related to age, clinical urgency, and quality of life.Methods: A web-based survey was conducted in which respondents were asked to choose between two hypothetical patients who (...) differed in clinical urgency , age, pretransplant and post-transplant quality of life, and life expectancy.Results: A pool of 1600 people were notified via email about the survey; 623 responded. Respondents preferred giving organs to younger people up to an age difference of <15.4 years and more clinically urgent people up to a difference in urgency of <2.54 months . Priority varied with the quality of life of the worst-off patient and the relative status of the patients. If both had worse than average quality of life, respondents preferred the better-off patient. When both had better than average quality of life, they preferred the worse-off patient. In analysis according to age versus clinical urgency, the older the patient, the more urgency needed to receive priority. In quality of life versus clinical urgency, the better the control’s quality of life, the more urgency the competing patient required. The worse the patient’s post-transplant outcome, the more urgency needed to receive priority.Conclusions: It appears that clinical urgency is only one of many factors influencing attitudes about allocation decisions and that respondents may invoke different principles of fairness depending the relative clinical status of patients. (shrink)

This article provides a conceptual framework for studying the influence of mood on managerial ethical decision making. We draw on mood-congruency theory and the affect infusion model to propose that mood influences managerial ethical decision making through deliberate and conscious assessments of the moral intensity of an ethical issue. By accounting for proscriptive and prescriptive morality—i.e., harmful and prosocial behavior, respectively—we demonstrate that positive and negative mood may have asymmetrical and paradoxical effects on ethical decision making. Specifically, our analysis suggests (...) that individuals in a positive mood will be more likely to engage in prosocial behavior but less likely to refrain from activities that have harmful consequences for others, whereas individuals in a negative mood will be more likely to avoid activities that put others at risk or harm but at the same time less prone to engaging in activities that have positive consequences for others. Importantly, we account for the context within which managers make their decisions by examining how situational strength may moderate the influence of mood on managerial ethical decision making. Finally, we discuss how organizations can leverage the double-edged sword effect of mood on ethical decision making and prevent, control and manage the risk of unethical decision making on the part of managers. (shrink)

Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to the underlying theoretical models, such as symbolic vs.connectionist), and operational (e.g., related to robustness and ability to generalize). Biologically inspired AI, and more specifically brain-inspired AI, promises to provide further biological aspects beyond those that are already traditionally included in AI, making it possible to assess and possibly (...) overcome some of its present shortcomings. This article examines some conceptual, technical, and ethical issues raised by the development and use of brain-inspired AI. Against this background, the paper asks whether there is anything ethically unique about brain-inspired AI. The aim of the paper is to introduce a method that has a heuristic nature and that can be applied to identify and address the ethical issues arising from brain-inspired AI (and from AI more generally). The conclusion resulting from the application of this method is that, compared to traditional AI, brain-inspired AI raises new foundational ethical issues and some new practical ethical issues, and exacerbates some of the issues raised by traditional AI. (shrink)

It is not uncommon to hear that poor school performance, welfare dependancy, youth unemployment, and criminal activity result more from shortcomings in the personal makeup of individuals than from societal forces beyond their control. Are American values declining as so many suggest? And are those values at the root of many social problems today?Shaped by experience and public policies, people's values and social norms do change. What role can or should a democratic government play in shaping values? And how do (...) these values conditon the efficacy of public policy?In this book, six distinguished social scientists identify trends in America's values and their consequences, and consider public policy tools with which some of those values might be changed.Daniel Yankelovich begins with a discussion of how American values have shifted in the last half-century, and argues that affluence is the driving force behind these changes in values. James Q. Wilson argues that destructive habits which can lead to social pathologies, like crime and drug use, are set early in life; he examines how public policy might intervene when children are young to promote better values. David Popenoe maintains that America has veered too far towards industrialist values, and explores the resulting decline of families and many attendant social ills. Nathan Glazer describes the history and present status of the dispute over multicultural education. Jane Mansbridge examines the process of building cooperation, consensus, and public spirit. And George Akerlof and Janet L. Yellen discuss the problem of gang criminality.Inthe past, social scientists have often sidestepped questions about values as undefinable, unquantifiable, and somehow unscientific. The essays in this volume address these questions at last.Henry J. Aaron, director of the Economic Studies program at Brookings, is the authorof numerous books, including most recently Serious and Unstable Condition: Financing America's Health Care (1991), and coeditor of Setting Domestic Priorities (1992). Thomas E. Mann is director of the Brookings Governmental Studies program, coeditor of Media Polls in American Politics (1992), and coauthor of the Renewing Congress series (1993). Timothy Taylor is managing editor of the Journal of Economic Perspectives at Stanford University. (shrink)

(1979). The Effect of Extraversion, Detail Importance and Interference on the Recall of Prose by Eleven‐year Old Children. Educational Studies: Vol. 5, No. 1, pp. 15-22.

This volume marks a unique collaboration by internationally distinguished scholars in the history, rhetoric, philosophy, and sociology of science. Converging on the central issues of rhetoric of science, the essays focus on figures such as Galileo, Harvey, Darwin, von Neumann; and on issues such as the debate over cold fusion or the continental drift controversy. Their vitality attests to the burgeoning interest in the rhetoric of science.

This chapter contains section titled: Philosophical Canons The Place of Latino Philosophy in the Canon Reasons for the Exclusion of Latino Philosophy from the Canon Philosophical Canons and Philosophical Traditions Philosophical Canons in the United States Latino Philosophy and the Western Philosophical Tradition Incorporating Latino Philosophy into the Philosophical Canon Latin America, Globalization, and the Future of Latino Philosophy Latino Philosophy and the Canon.

We study the relationship between various properties of the real numbers and weak choice principles.

This paper discusses recent evidence that violations of core knowledge offer special learning opportunities for infants and young children. Children make predictions about the world from the youngest ages. When their fail to match observed data, they show an enhanced drive to seek and retain new information about entities that violated their expectations. Finally, the authors draw comparisons between children and adults, and with other species, to explore how surprise shapes thought more broadly.