Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers – often implicitly – assume that either there is little variation across human populations, or that these “standard subjects” are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is (...) substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species – frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior – hence, there are no obviousa priorigrounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions ofhumannature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges. (shrink)

BackgroundECMO is a particularly scarce resource during the COVID-19 pandemic. Its allocation involves ethical considerations that may be different to usual times. There is limited pre-pandemic literature on the ethical factors that ECMO physicians consider during ECMO allocation. During the pandemic, there has been relatively little professional guidance specifically relating to ethics and ECMO allocation; although there has been active ethical debate about allocation of other critical care resources. We report the results of a small international exploratory survey of ECMO (...) clinicians’ views on different patient factors in ECMO decision-making prior to and during the COVID-19 pandemic. We then outline current ethical decision procedures and recommendations for rationing life-sustaining treatment during the COVID-19 pandemic, and examine the extent to which current guidelines for ECMO allocation (and reported practice) adhere to these ethical guidelines and recommendations.MethodsAn online survey was performed with responses recorded between mid May and mid August 2020. Participants (n = 48) were sourced from the ECMOCard study group—an international group of experts (n = 120) taking part in a prospective international study of ECMO and intensive care for patients during the COVID-19 pandemic. The survey compared the extent to which certain ethical factors involved in ECMO resource allocation were considered prior to and during the pandemic.ResultsWhen initiating ECMO during the pandemic, compared to usual times, participants reported giving more ethical weight to the benefit of ECMO to other patients not yet admitted as opposed to those already receiving ECMO, (p < 0.001). If a full unit were referred a good candidate for ECMO, participants were more likely during the pandemic to consider discontinuing ECMO from a current patient with low chance of survival (53% during pandemic vs. 33% prior p = 0.002). If the clinical team recommends that ECMO should cease, but family do not agree, the majority of participants indicated that they would continue treatment, both in usual circumstances (67%) and during the pandemic (56%).ConclusionsWe found differences during the COVID-19 pandemic in prioritisation of several ethical factors in the context of ECMO allocation. The ethical principles prioritised by survey participants were largely consistent with ECMO allocation guidelines, current ethical decision procedures and recommendations for allocation of life-sustaining treatment during the COVID-19 pandemic. (shrink)

We provide a description and informal analysis of the commonalities in moral discourse concerning issues in the field of information and communications technology, present a logic model (DEAL) of this type of moral discourse that makes use of recent research in deontic, epistemic, and action logic, and indicate – drawing upon recent research in computer implementations of modal logic – how information systems may be developed that implement the proposed formalization.

Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger role in our lives demands that robots be endowed with moral reasoning capabilities. Robots endowed in this way may be referred to as artificial moral agents. Reasons often given for developing AMAs are: the prevention of harm, the necessity for public trust, the prevention of immoral use, such machines are better moral reasoners than humans, and (...) building these machines would lead to a better understanding of human morality. Although some scholars have challenged the very initiative to develop AMAs, what is currently missing from the debate is a closer examination of the reasons offered by machine ethicists to justify the development of AMAs. This closer examination is especially needed because of the amount of funding currently being allocated to the development of AMAs coupled with the amount of attention researchers and industry leaders receive in the media for their efforts in this direction. The stakes in this debate are high because moral robots would make demands on society; answers to a host of pending questions about what counts as an AMA and whether they are morally responsible for their behavior or not. This paper shifts the burden of proof back to the machine ethicists demanding that they give good reasons to build AMAs. The paper argues that until this is done, the development of commercially available AMAs should not proceed further. (shrink)

Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger role in our lives demands that robots be endowed with moral reasoning capabilities. Robots endowed in this way may be referred to as artificial moral agents. Reasons often given for developing AMAs are: the prevention of harm, the necessity for public trust, the prevention of immoral use, such machines are better moral reasoners than humans, and (...) building these machines would lead to a better understanding of human morality. Although some scholars have challenged the very initiative to develop AMAs, what is currently missing from the debate is a closer examination of the reasons offered by machine ethicists to justify the development of AMAs. This closer examination is especially needed because of the amount of funding currently being allocated to the development of AMAs coupled with the amount of attention researchers and industry leaders receive in the media for their efforts in this direction. The stakes in this debate are high because moral robots would make demands on society; answers to a host of pending questions about what counts as an AMA and whether they are morally responsible for their behavior or not. This paper shifts the burden of proof back to the machine ethicists demanding that they give good reasons to build AMAs. The paper argues that until this is done, the development of commercially available AMAs should not proceed further. (shrink)

In the early twenty-first century, we stand on the threshold of welcoming robots into domains of human activity that will expand their presence in our lives dramatically. One provocative new frontier in robotics, motivated by a convergence of demographic, economic, cultural, and institutional pressures, is the development of “carebots”—robots intended to assist or replace human caregivers in the practice of caring for vulnerable persons such as the elderly, young, sick, or disabled. I argue here that existing philosophical reflections on the (...) ethical implications of carebots neglect a critical dimension of the issue: namely, the potential moral value of caregiving practices for caregivers. This value, I argue, gives rise to considerations that must be weighed alongside consideration of the likely impact of carebots on care recipients. Focusing on the goods internal to caring practices, I then examine the potential impact of carebots on caregivers by means of three complementary ethical approaches: virtue ethics, care ethics, and the capabilities approach. Each of these, I argue, sheds new light on the contexts in which carebots might deprive potential caregivers of important moral goods central to caring practices, as well as those contexts in which carebots might help caregivers sustain or even enrich those practices, and their attendant goods. (shrink)

Abstract:This paper outlines three conceptions of the relationship between normative and empirical business ethics, views we refer to asparallel, symbiotic, andintegrative. Parallelism rejects efforts to link normative and empirical inquiry, for both conceptual and practical reasons. The symbiotic position supports a practical relationship in which normative and/or empirical business ethics rely on each other for guidance in setting agenda or in applying the results of their conceptually and methodologically distinct inquiries. Theoretical integration countenances a deeper merging ofprima faciedistinct forms of (...) inquiry, involving alterations or combinations of theory, metatheoretical assumptions, and methodology. This paper explicates these positions, summarizes arguments for and against each, and considers their implications for the future of business ethics research. (shrink)

Carson Strong has recently argued that wide reflective equilibrium (WRE) is an unacceptable method of justification in bioethics. In its place, Strong recommends a methodology in which certain foundational moral judgments play a central role in the justification of moral beliefs, and coherence plays a limited justificatory role in that the rest of our judgments are made to cohere with these foundational judgments. In this paper, I argue that Strong’s chief criticisms of WRE are unsuccessful and that his proposed alternative (...) is in fact just another version of WRE. In the course of doing so, I specify which theses are central to WRE and which are not, and thus, provide a response to an additional objection, advanced by Peter Singer, that WRE is vacuous. I conclude by arguing that there may be better prospects for advancing the debate regarding methodology in bioethics if we focus on restricted epistemic and methodological theses rather than broad approaches, such as WRE, that come in many different varieties. (shrink)

People draw subtle distinctions in the normative domain. But it remains unclear exactly what gives rise to such distinctions. On one prominent approach, emotion systems trigger non-utilitarian judgments. The main alternative, inspired by Chomskyan linguistics, suggests that moral distinctions derive from an innate moral grammar. In this article, we draw on Bayesian learning theory to develop a rational learning account. We argue that the ‘size principle’, which is implicated in word learning, can also explain how children would use scant and (...) equivocal evidence to interpret candidate rules as applying more narrowly than utilitarian rules. (shrink)

Recent work shows an important asymmetry in lay intuitions about moral dilemmas. Most people think it is permissible to divert a train so that it will kill one innocent person instead of five, but most people think that it is not permissible to push a stranger in front of a train to save five innocents. We argue that recent emotion-based explanations of this asymmetry have neglected the contribution that rules make to reasoning about moral dilemmas. In two experiments, we find (...) that participants show a parallel asymmetry about versions of the dilemmas that have minimized emotional force. In a third experiment, we find that people distinguish between whether an action violates a moral rule and whether it is, all things considered, wrong. We propose that judgments of whether an action is wrong, all things considered, implicate a complex set of psychological processes, including representations of rules, emotional responses, and assessments of costs and benefits. q 2005 Published by Elsevier B.V. (shrink)

Various theories of moral cognition posit that moral intuitions can be understood as the output of a computational process performed over structured mental representations of human action. We propose that action plan diagrams—“act trees”—can be a useful tool for theorists to succinctly and clearly present their hypotheses about the information contained in these representations. We then develop a methodology for using a series of linguistic probes to test the theories embodied in the act trees. In Study 1, we validate the (...) method by testing a specific hypothesis (diagrammed by act trees) about how subjects are representing two classic moral dilemmas and finding that the data support the hypothesis. In Studies 2–4, we explore possible explanations for discrete and surprising findings that our hypothesis did not predict. In Study 5, we apply the method to a less well‐studied case and show how new experiments generated by our method can be used to settle debates about how actions are mentally represented. In Study 6, we argue that our method captures the mental representation of human action better than an alternative approach. A brief conclusion suggests that act trees can be profitably used in various fields interested in complex representations of human action, including law, philosophy, psychology, linguistics, neuroscience, computer science, robotics, and artificial intelligence. (shrink)

Most management researchers pause at the threshold of objective right and wrong. Their hesitation is understandable. Values imply a “subjective,” personal dimension, one that can invite religious and moral interference in research. The dominant epistemological camps of positivism and subjectivism in management stumble over the notion of moral objectivity. Empirical research can study values in human behavior, but hard-headed scientists should not assume that one value can be objectively better than another. In this article, we invite management researchers to rethink (...) this presumption. We show how accepting at least a limited form of moral objectivity, namely, an epistemic orientation that seeks objective moral reasons, can benefit management research by 1. guiding research practice; 2. using patterns of moral objectivity as clues for formulating empirical hypotheses for psychological explanations; and 3. adding prescriptive power to empirical theories. (shrink)

It is widely accepted that electoral representative democracy is better—along a number of different normative dimensions—than any other alternative lawmaking political arrangement. It is not typically seen as much of a competition: it is also widely accepted that the only legitimate alternative to electoral representative democracy is some form of direct democracy, but direct democracy—we are told—would lead to bad policy. This article makes the case that there is a legitimate alternative system—one that uses lotteries, not elections, to select political (...) officials— that would be better than electoral representative democracy. (shrink)

The growing number of ‘smart’ instruments, those equipped with AI, has raised concerns because these instruments make autonomous decisions; that is, they act beyond the guidelines provided them by programmers. Hence, the question the makers and users of smart instrument face is how to ensure that these instruments will not engage in unethical conduct. The article suggests that to proceed we need a new kind of AI program—oversight programs—that will monitor, audit, and hold operational AI programs accountable.

What makes humans moral beings? This question can be understood either as a proximate question or as an ultimate question. The question is about the mental and social mechanisms that produce moral judgments and interactions, and has been investigated by psychologists and social scientists. The question is about the fitness consequences that explain why humans have morality, and has been discussed by evolutionary biologists in the context of the evolution of cooperation. Our goal here is to contribute to a fruitful (...) articulation of such proximate and ultimate explanations of human morality. We develop an approach to morality as an adaptation to an environment in which individuals were in competition to be chosen and recruited in mutually advantageous cooperative interactions. In this environment, the best strategy is to treat others with impartiality and to share the costs and benefits of cooperation equally. Those who offer less than others will be left out of cooperation; conversely, those who offer more will be exploited by their partners. In line with this mutualistic approach, the study of a range of economic games involving property rights, collective actions, mutual help and punishment shows that participants' distributions aim at sharing the costs and benefits of interactions in an impartial way. In particular, the distribution of resources is influenced by effort and talent, and the perception of each participant's rights on the resources to be distributed. (shrink)