Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which (...) they are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine (...) class='Hi'>learning. We also discuss how work in embodied and situated cognition could provide a valu- able perspective on future research. (shrink)

As attention to the pervasiveness and severity of environmental challenges grows, technical universities are responding to the need to include environmental topics in engineering curricula and to equip engineering students, without training in ethics, to understand and respond to the complex social and normative demands of these issues. But as compared to other areas of engineering ethics education, environmental ethics has received very little attention. This article aims to address this lack and raises the question: How should we teach environmental (...) ethics to engineering students? We argue that one key aspect such teaching should address is the tendency of engineers towards technical framing of (social) problems. Drawing then on engineering ethics pedagogy we propose that the competencies of moral sensitivity and critical thinking can be developed to help engineering students with problem (re)framing. We conclude with an example from our teaching that operationalizes these competencies. (shrink)

Mencius, referred to as second sage in Chinese philosophy history, grounds his theory about original goodness of human nature on psychological components by bringing in something new down ancient ages. Including the principles of virtuous action associated with Confucius to his doctrine, but by composing them along psychosocial development, he theorizes utterly out of the ordinary that makes all the difference to the school. In his argument stated a positive opinion, he explains the method of forming individuals' moral awareness (...) by means of inseparable integrity of feelings and thoughts, saying human being are born innately good. According to Mencius, heart-mind correlation is the motivational complement of inner incentives. Knowledge and virtue, which are extensions of inborn goodness, comprehended intuitively; then affective motives respond to circumstance, what is learned transmits to cognitive process and eventually behavior emerges. Comparing during the years of Warring State period he lived, in western geography Aristotle, who is one of the pioneers of Greek philosophy, argues deductive and inductive methods in mental activity. On the other hand, Mencius uses analogical reasoning throughout his self-titled work. This essay is an attempt to assert that most postulates of developmental theories, which have been considered an integral part of modern psychology, begin with Mencius in early era. Secondly, this study also aims to discuss the main paradigm of Mencius across emotivist-rationalist opposition, which keeps emotion above thought as well as reason above emotion. (shrink)

Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise in (...) the normal course of an engineer’s professional career. In the most recent iteration of the course, I used the Engineering and Science Issues Test as a pretest and posttest to test the development of my students’ moral reasoning skills over the course of the semester. Based on the results of these tests, I argue that the students in my Engineering Ethics course did in fact significantly develop their moral reasoning skills. (shrink)

On an account of virtue as skill, virtues are acquired in the ways that skills are acquired. In this paper I focus on one implication of that account that is deserving of greater attention, which is that becoming more skillful requires learning from one’s failures, but that turns out to be especially challenging when dealing with moral failures. In skill acquisition, skills are improved by deliberate practice, where you strive to correct past mistakes and learn how to overcome (...) your current limitations. A similar story applies to virtue acquisition, as moral failures will be a part of anyone’s life, and we will all have to learn from these experiences. However, despite the importance of being able to learn from our mistakes, this is very difficult in practice, given that failure of any kind can be distressing, and especially so for moral failure. The distress created by a recognition of moral failure often prompts responses of anger, avoidance, or defensiveness; rather than attempts to make amends and when necessary to work on self-improvement. The most potentially distressing response to moral failure is shame, as it is often associated with defensiveness. It is here where emotion regulation will be important to manage that distress, and I focus on the skill of emotion differentiation. I argue that emotion differentiation is a promising strategy for distinguishing the emotions we may experience in the wake of failure, including shame, and to encourage those emotions that motivate self-improvement. Thus, emotion regulation is important for virtue acquisition. (shrink)

Background. Tahfidz learning is a learning that can change the behavior of santriwan and santriwati and develop a potential that they have such as improving the reading of the Qur'an, increasing the memorization of the Qur'an. The tahfidz house is a place where students learn, foster and develop and apply the values contained in the Qur'an in everyday life such as at home, in the community and at school. Purpose. This tahfidz activity begins with prayer, then murojaah, memorizing (...) the recitation of the Qur'an. Method. Data was obtained by giving teacher performance scales, teacher digital literacy, and online learning implementation scales. Results. The results of this tahfidz activity research begin with prayer, then murojaah, memorizing the recitation of the Qur'an. After memorizing the Qur'an, each student deposits his memorization one by one to the ustadz or ustadzah. After that the students and ustadz or ustadzah continue by playing the verse connection game in order to increase the enthusiasm of the students in memorizing so that they are not easily bored and bored, because in learning there are a lot of complaints and laziness when learning, let alone learning to memorize the Qur'an there are a lot of outside distractions. Conclusion. After the students take part in tahfiz learning, there are Islamic morals that can be applied, namely keistiqomahan, patience which is contrary to the previous morals of the students. (shrink)

Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise in (...) the normal course of an engineer’s professional career. In the most recent iteration of the course, I used the Engineering and Science Issues Test as a pretest and posttest to test the development of my students’ moral reasoning skills over the course of the semester. Based on the results of these tests, I argue that the students in my Engineering Ethics course did in fact significantly develop their moral reasoning skills. (shrink)

Imaginative resistance (IR) is rejecting a claim that is true within a fictional world. Accounts that describe IR hold that readers exit a fiction at points of resistance. But if resistance entails exiting a fiction, then learning morality from fiction doesn’t occur. But moral learning from fiction does occur; some such cases are instances of accepting a norm one first denied. I amend current solutions to IR with poetic license. The more poetic license granted a work, the (...) more flexible one is regarding perceived falsehoods. Instead of exiting the fiction, one has the chance to stay engaged and possibly learn norms she previously denied. (shrink)

Philosophers and psychologists have argued that fiction can ethically educate us: fiction supposedly can make us better people. This view has been contested. It is, however, rarely argued that fiction can morally “corrupt” us. In this article, we focus on the alleged power of fiction to decrease one's prejudices and biases. We argue that if fiction has the power to change prejudices and biases for the better, then it can also have the opposite effect. We further argue that fictions are (...) more likely to be a bad influence than a good one. (shrink)

The dominant theory of the evolution of moral cognition across a variety of fields is that moral cognition is a biological adaptation to foster social cooperation. This chapter argues, to the contrary, that moral cognition is likely an evolutionary exaptation: a form of cognition where neurobiological capacities selected for in our evolutionary history for a variety of different reasons—many unrelated to social cooperation—were put to a new, prosocial use after the fact through individual rationality, learning, and (...) the development and transmission of social norms. This chapter begins with a brief overview of the emerging behavioral neuroscience of moral cognition. It then outlines a novel theory of moral cognition that I have previously argued explains these findings better than alternatives. Finally, it shows how the evidence for this theory of moral cognition and human evolutionary history together suggest that moral cognition is likely not a biological adaptation. Instead, like reading sheet music or riding a bicycle, moral cognition is something that individuals learn to do—in this case, in response to sociocultural norms created in our ancestral history and passed down through the ages to enable cooperative living. (shrink)

Perception provides us with access to the external world, but that access is shaped by our own experiential histories. Through perceptual learning, we can enhance our capacities for perceptual discrimination, categorization, and attention to salient properties. We can also encode harmful biases and stereotypes. This article reviews interdisciplinary research on perceptual learning, with an emphasis on the implications for our rational and normative theorizing. Perceptual learning raises the possibility that our inquiries into topics such as epistemic justification, (...) aesthetic criticism, and moral knowledge should include not only an examination of cognition but also of perception. (shrink)

Standard ways of conceptualizing moral development and measuring pedagogical interventions in ethics classes privilege the growth of moral judgment over moral sensitivity, moral motivation, and moral habits by too often conflating improvement in moral judgment with holistic moral development. I argue here that if we care about students’ construction and cultivation of their ethical selves, our assessment design principles ought to take seriously the transformative possibilities of philosophy as a way of life and (...) be based on a more robust and holistic account of moral development. I illustrate these principles of assessment design through an examination of the Character Project, which I created to help students engage in their own deliberate ethical transformation through self-directed, individualized, and concentrated practice. Finally, I conclude with a discussion about how to appropriately and fairly assess this kind of deeply personal learning. (shrink)

Current discussions of hermeneutical injustice, I argue, poorly characterise the cognitive state of victims by failing to account for the communicative success that victims have when they describe their experience to other similarly situated persons. I argue that victims, especially when they suffer moral wrongs that are yet unnamed, are able (1) to grasp certain salient aspects of the wrong they experience and (2) to cultivate the ability to identify instances of the wrong in virtue of moral emotions. (...) By moral emotions I mean emotions like indignation that reflect an agent’s ethical commitments and bear on her ethical assessments. Further, I argue that victims can impart their partial understanding of the wrong they suffer to others who are not similarly situated by eliciting moral emotions such as pity that are tied to broad notions of justice and fairness. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

We chart how neuroscience and philosophy have together advanced our understanding of moral judgment with implications for when it goes well or poorly. The field initially focused on brain areas associated with reason versus emotion in the moral evaluations of sacrificial dilemmas. But new threads of research have studied a wider range of moral evaluations and how they relate to models of brain development and learning. By weaving these threads together, we are developing a better understanding (...) of the neurobiology of moral judgment in adulthood and to some extent in childhood and adolescence. Combined with rigorous evidence from psychology and careful philosophical analysis, neuroscientific evidence can even help shed light on the extent of moral knowledge and on ways to promote healthy moral development. (shrink)

In modern, culturally-heterogeneous societies, inefficiency of communication of important moral concepts is often evidenced by asymmetrical moral judgements and hypocritical behaviour, especially in our increasingly compartmentalised social landscapes [Rozuel 2011]. This raises the question of how to present target audiences with some (perhaps novel) moral concept, like an ethical dimension of one’s ecological attitude, in a way which would resonate with them, and be conducive to a coherent moral stance, decreasing action-observer biases. We analyse this problem (...) by introducing a formal moral inconsistency framework. We consider the ways in which the aforementioned problem might be tackled in existing cognitive science of morality (CSM) nativist frameworks, and, secondly, we investigate it from the perspective of moral learning, finally proposing the notion of moral dimensionality of a representation in the context of model-based reinforcement learning, as a useful conceptual tool for studying the problem. (shrink)

Some stories of moral exemplars motivate us to emulate their admirable attitudes and behaviors, but why do some exemplars motivate us more than others? We systematically studied how motivation to emulate is influenced by the similarity between a reader and an exemplar in social or cultural background (Relatability) and how personally costly or demanding the exemplar’s actions are (Attainability). Study 1 found that university students reported more inspiration and related feelings after reading true stories about the good deeds of (...) a recent fellow alum, compared to a famous moral exemplar from decades past. Study 2A developed a battery of short moral exemplar stories that more systematically varied Relatability and Attainability, along with a set of non-moral exemplar stories for comparison. Studies 2B and 2C examined the path from the story type to relatively low stakes altruism (donating to charity and intentions to volunteer) through perceived attainability and relatability, as well as elevation and pleasantness. Together, our studies suggest that it is primarily the relatability of the moral exemplars, not the attainability of their actions, that inspires more prosocial motivation, at least regarding acts that help others at a relatively low cost to oneself. (shrink)

One of the predominant debates in AI Ethics is the worry and necessity to create fair, transparent and accountable algorithms that do not perpetuate current social inequities. I offer a critical analysis of Reuben Binns’s argument in which he suggests using public reason to address the potential bias of the outcomes of machine learning algorithms. In contrast to him, I argue that ultimately what is needed is not public reason per se, but an audit of the implicit moral (...) assumptions of societies within which algorithms are built and applied. Public justification is appealing since it offers us the possibility to align the decision-making outcomes of the algorithm with the core moral values of stakeholders within a constitutional democratic society. My concern is that the common moral principles that form the foundation of public reason are not necessarily neutral, as they still express specific moral ideals and normative standards even if there is moral agreement by society as a whole, or among different stakeholders within society. Appealing to such normative standards may thus still lead to algorithmic outcomes being biased as common moral values may very well still be discriminatory even though they are formed from a consensus, and even if public reason is applied as a kind of filter for potential algorithmic outcomes. Hence, I argue that these implicit moral norms within society that we take as a given in public reasoning, need to be audited from generation to generation in order to effectively mitigate potential algorithmic bias. (shrink)

In 1968, Jürgen Habermas claimed that, in an advanced technological society, the emancipatory force of knowledge can only be regained by actively recovering the ‘forgotten experience of reflection’. In this article, we argue that, in the contemporary situation, critical reflection requires a deliberative ambiance, a process of mutual learning, a consciously organised process of deliberative and distributed reflection. And this especially applies, we argue, to critical reflection concerning a specific subset of technologies which are actually oriented towards optimising human (...) cognition. In order to create a deliberative ambiance, fostering critical upstream reflection on emerging technologies, we developed the concept of a mutual learning exercise. Building on a number of case studies, we analyse what an MLE involves, both practically and conceptually, focussing on key aspects such as ambiance and expertise, the role of ‘genres of the imagination’ and the profiles of various ‘subcultures of debate’. Ideally, an MLE becomes a contemporary version of the Socratic agora, providing a stage where multiple and sometimes unexpected voices and perspectives mutually challenge each other, in order to strength-en the societal robustness and responsiveness of emerg-ing technologies. (shrink)

According to cognitive psychologists, moral decision-making is a dual-process phenomenon involving two types of cognitive processes: explicit reasoning and implicit intuition. Moral development involves training and integrating both types of cognitive processes through a mix of instruction, practice, and reflection. Serious games are an ideal platform for this kind of moral training, as they provide safe spaces for exploring difficult moral problems and practicing the skills necessary to resolve them. In this article, we present Morality Play, (...) a model for the design of serious games for ethical expertise development based on the Integrative Ethical Education framework from moral psychology and the Lens of the Toy model for serious game design. (shrink)

In this paper, findings from research in neuroscience of morality will be reviewed to consider the purposes of moral education. Particularly, I will focus on two main themes in neuroscience, novel neuroimaging and experimental investigations, and Bayesian learning mechanism. First, I will examine how neuroimaging and experimental studies contributed to our understanding of psychological mechanisms associated with moral functioning while addressing methodological concerns. Second, Bayesian learning mechanism will be introduced to acquire insights about how moral (...) learning occurs in human brains. Based on the reviewed neuroscientific research on morality, I will examine how evidence can support the model of moral education proposed by virtue ethics, Neo-Aristotelian moral philosophy in particular. Particularly, two main aims of virtue ethics-based moral education, the habituation of virtues and the cultivation of phronesis, will be discussed as the important purposes of moral education based on neuroscientific evidence. (shrink)

A distinguishing characteristic of Confucianism is its emphasis on learning (xue), is a key element in moral self cultivation. This paper discusses why learning from the experiences of those in the past is important in Confucian learning.

What might Adam Smith have learned from Jane Austen and other novelists of his moment? This paper finds and examines a serious problem at the center of Adam Smith’s moral psychology, stemming from an unacknowledged tension between the effort of the spectator to sympathize with the feelings of the agent and that of the agent to moderate her feelings. The agent’s efforts will result in her opacity to spectators, blocking their attempts to read her emotions. I argue that we (...) can resolve this tension by looking to developments in eighteenth-century literature, as perfected in the hands of Jane Austen. I focus on two techniques, focalization and free indirect style, and I show that the problems for spectatorship diminish when we see that good Smithian spectators are savvy readers. (shrink)

The acquisition of virtue can be conceptualized as a self-regulatory process in which deliberate practice results in increasingly higher levels of skillfulness in leading a virtuous life. This conceptualization resonates with philosophical virtue theories as much as it converges with psychological models about skill development, expertise, goal motivation, and self-regulation. Yet, the conceptualization of virtue as skill acquisition poses the crucial question of motivation: What motivates individuals to self-improvement over time so that they can learn from past experience, correct mistakes, (...) and expand their ethical knowledge to new and unfamiliar circumstances? In this paper, it is argued that the motivation to increase one’s level of skillfulness in leading a virtuous life is supported by a specific identity goal, namely the goal to be a moral person. However, this moral identity goal needs to carry specific goal characteristics in order to effectively provide this motivation. It needs to be sufficiently abstract, internally motivated and promotion- rather than prevention-oriented. Research in developmental psychology suggests that the moral identity of children is rather concrete, externally motivated, and prevention-oriented. With development, higher levels of abstraction, internal motivation, and promotion-orientation gain importance providing an important motivational basis for a self-regulated process of virtue acquisition. (shrink)

In this paper, we propose a conceptual model to improve moral sensitivity in human resource development (HRD) to assist human resource (HR) practitioners in contending with moral challenges in HRD. The literature on the relationship between ethics and HRD suggests that the organizational and employee development discipline deals with ethical issues at three different levels: Individual, organizational and communal, and international levels. In section I, we elaborate on moral challenges facing HRD. In section II, we conceptualize (...) class='Hi'>moral sensitive HRD, proposing a conceptual model in virtue of some essential ethical theories and concepts that assist HRD in grappling with those problems. We will show how each theory and concept can help HRD to deal with relevant problems. In section III, we elaborate on practical approaches to implement moral sensitivity in HRD. We put forward some strategies that help HRD bring those theories and concepts to bear on the ethical problems facing this discipline. Finally, we discuss moral education through learning theories to cultivate moral concepts and ethical dimensions in HRD education. (shrink)

Although current educational priorities tend to avoid strong moral positions, one of the world's most venerable yet persistently influential moral traditions not only lays out a number of major moral principles but also incorporates them into its pedagogy. Confucius teaches us about the importance of seeking knowledge, learning how to learn, applying ancient wisdom to contemporary situations, valuing virtue over material gain, following the Golden Rule, and living by our principles. He also has ways of assessing (...) his own students' progress in these matters. Confucius' pedagogy is an interesting model to consider and contrast with contemporary models. This chapter introduces these principles and assessments from the Analects and draws out some comparisons to and contrasts with two alternative theories in western moral thought, Augustine and John Dewey. -/- The accepted version of the paper is included here. Pagination does not match the published version. (shrink)

This paper presents a new trilemma with respect to resolving the control and alignment problems in machine ethics. Section 1 outlines three possible types of artificial moral agents (AMAs): (1) 'Inhuman AMAs' programmed to learn or execute moral rules or principles without understanding them in anything like the way that we do; (2) 'Better-Human AMAs' programmed to learn, execute, and understand moral rules or principles somewhat like we do, but correcting for various sources of human moral (...) error; and (3) 'Human-Like AMAs' programmed to understand and apply moral values in broadly the same way that we do, with a human-like moral psychology. Sections 2–4 then argue that each type of AMA generates unique control and alignment problems that have not been fully appreciated. Section 2 argues that Inhuman AMAs are likely to behave in inhumane ways that pose serious existential risks. Section 3 then contends that Better-Human AMAs run a serious risk of magnifying some sources of human moral error by reducing or eliminating others. Section 4 then argues that Human-Like AMAs would not only likely reproduce human moral failures, but also plausibly be highly intelligent, conscious beings with interests and wills of their own who should therefore be entitled to similar moral rights and freedoms as us. This generates what I call the New Control Problem: ensuring that humans and Human-Like AMAs exert a morally appropriate amount of control over each other. Finally, Section 5 argues that resolving the New Control Problem would, at a minimum, plausibly require ensuring what Hume and Rawls term ‘circumstances of justice’ between humans and Human-Like AMAs. But, I argue, there are grounds for thinking this will be profoundly difficult to achieve. I thus conclude on a skeptical note. Different approaches to developing ‘safe, ethical AI’ generate subtly different control and alignment problems that we do not currently know how to adequately resolve, and which may or may not be ultimately surmountable. (shrink)

This chapter examines the relevance of the cognitive science of morality to moral epistemology, with special focus on the issue of the reliability of moral judgments. It argues that the kind of empirical evidence of most importance to moral epistemology is at the psychological rather than neural level. The main theories and debates that have dominated the cognitive science of morality are reviewed with an eye to their epistemic significance.

Can reasoning improve moral judgments and lead to moral progress? Pessimistic answers to this question are often based on caricatures of reasoning, weak scientific evidence, and flawed interpretations of solid evidence. In support of optimism, we discuss three forms of moral reasoning (principle reasoning, consistency reasoning, and social proof) that can spur progressive changes in attitudes and behavior on a variety of issues, such as charitable giving, gay rights, and meat consumption. We conclude that moral reasoning, (...) particularly when embedded in social networks with mutual trust and respect, is integral to moral progress. (shrink)

The development of machine learning and deep learning (DL) in the field of AI (artificial intelligence) is the direct result of the advancement of nano-electronics. Machine learning is a function that provides the system with the capacity to learn from data without being programmed explicitly. It is basically a mathematical and probabilistic model. DL is part of machine learning methods based on artificial neural networks, simply called neural networks (NNs), as they are inspired by the biological (...) NNs that constitute organic brains. Despite its similarity to biological organs such as human brains, major problems arise in trying to attribute moral responsibility to autonomic systems based on hardware including nano-electronic devices, which are sought to replace humans (moral agents) in the context of AI. It is suggested that the required emotional environment which enables actions according to reasons in humans is not witnessed at AI devices. Though AI technology raises an enticing resemblance to human actions, this resemblance is to be considered with a skeptical eye. It is because actions are associated with reasons while causes are connected to operations. Human agents are capable of acting upon their reasons, while AI devices are limited only to operations as they are conditioned by their programming, which is considered as an embodiment of some causes. As moral responsibility goes hand in hand with the capacity to act (according to reasons), attributing moral responsibility to AI devices is revealed to be but a misleading metaphor. (shrink)

I argue that John Dewey’s analysis of imagination enables an account of learning from imaginary cases consistent with Jonathan Dancy’s moral particularism. Moreover, this account provides a more robust account of learning from cases than Dancy’s own. Particularism is the position that there are no, or at most few, true moral principles, and that competent reasoning and judgment do not require them. On a particularist framework, one cannot infer from an imaginary case that because a feature (...) has a particular moral importance there, that it must have that import in an actual case. Instead, for Dancy, cases can yield “reminders,” and a person with a lot of experience (real or imagined) brings a “checklist” of features that can matter to a situation. Using the Nathan-David exchange from 2 Samuel and Martha Nussbaum’s “Steerforth’s Arm” from Love’s Knowledge, I show that this account does not explain all instances of learning from cases. Drawing on recent work on cases, I argue that cases can be educative by serving an exploratory function, probing what one takes to be known and provoking change in the background one uses in evaluating a situation. I then argue that Dewey’s work on imagination in his comments on sympathy and in A Common Faith and Art as Experience enables such a role for cases on a particularist framework. Mark Johnson’s recent work on metaphor further illuminates how Dewey’s account of art can be exploratory. I contend that this account affords an exploratory role for cases consistent with Dancy’s particularism. (shrink)

Several authors have recently suggested that classic psychedelics might be safe and effective agents of moral enhancement. This raises the question: can we learn anything interesting about the nature of moral experience from a close examination of transformative psychedelic experiences? The interdisciplinary enterprise of philosophical psychopathology attempts to learn about the structure and function of the “ordinary” mind by studying the radically altered mind. By analogy, in this chapter we argue that we can gain knowledge about the everyday (...) moral life by studying extraordinary experiences of altered moral cognition and experience. We focus on a specific class of cases: experiences of forgiveness induced by psychedelics. We argue that close attention to such experiences reveals the importance of thought/emotion coherence and dissonance in the moral life and vindicates some heterodox ideas about moral phenomenology and psychology. (shrink)

A self-fulfilling prophecy in neuroprognostication occurs when a patient in coma is predicted to have a poor outcome, and life-sustaining treatment is withdrawn on the basis of that prediction, thus directly bringing about a poor outcome for that patient. In contrast to the predominant emphasis in the bioethics literature, we look beyond the moral issues raised by the possibility that an erroneous prediction might lead to the death of a patient who otherwise would have lived. Instead, we focus on (...) the problematic epistemic consequences of neuroprognostic SFPs in settings where research and practice intersect. When this sort of SFP occurs, the problem is that physicians and researchers are never in a position to notice whether their original prognosis was correct or incorrect, since the patient dies anyway. Thus, SFPs keep us from discerning false positives from true positives, inhibiting proper assessment of novel prognostic tests. This epistemic problem of SFPs thus impedes learning, but ethical obligations of patient care make it difficult to avoid SFPs. We then show how the impediment to catching false positive indicators of poor outcome distorts research on novel techniques for neuroprognostication, allowing biases to persist in prognostic tests. We finally highlight a particular risk that a precautionary bias towards early withdrawal of life-sustaining treatment may be amplified. We conclude with guidelines about how researchers can mitigate the epistemic problems of SFPs, to achieve more responsible innovation of neuroprognostication for patients in coma. (shrink)

Given the explanatory stalemate between ‘embedded’ (EMB) and ‘extended’ (EXT) cognition, various authors have proposed normative and moral arguments in favour of EXT. According to what we call the “extended cognition moral narrative” (EXT-MN) (Cassinadri, 2022), we should embrace EXT and dismiss EMB, because the former leads to morally preferable consequences with respect to the latter. In this article we argue that two arguments following the EXT moral narrative are flawed. In Sect. 2.1 and 2.2, we present (...) respectively King (2016) and Vold’s (2018) ‘argument from assessment of capacities’ (AAC) and Clowes (2013), Farina and Lavazza’s (2022a) ‘cognitive diminishment argument’ (CDA). The AAC states that we should embrace EXT over EMB since the former is better at attributing cognitive credit to individuals with learning disabilities who use assistive tools to complete their learning tasks, thus avoiding their marginalisation. The CDA states that EMB implies a morally undesirable picture of the agent in terms of cognitive diminishment. In Sect. 3, we clarify and criticise the underlying assumptions of the AAC and CDA: the “cognitive credit assumption”, the “marginalisation assumption” and, more generally, an ableist conception of disabled agency. In Sect. 3.1, we discuss the role of moto-perceptual skills and metacognitive credit involved in complex cases of tool-use, to demonstrate that the EXT-MN is uninformative in addressing these cases. To conclude, in Sect. 4 we argue that AAC and CDA fail to present EXT as descriptively and normatively superior to EMB. (shrink)

Many spectacular claims about psychopaths are circulated. This contribution aims at providing the reader with the more complex reality of the phenomenon (or phenomena), and to point to issues of particular interest to philosophers working in moral psychology and moral theory. I first discuss the current evidence regarding psychopaths’ deficient empathy and decision-making skills. I then explore what difference it makes to our thinking whether we regard their deficit dimensionally (as involving abilities that are on or off) and (...) whether we focus on primary or secondary psychopathy. My conclusion is that most grand claims about psychopathy settling long-standing debates in moral philosophy and psychology are overblown, but there is much to be learnt from this disorder when it comes to formulating modern theories of moral psychology. (shrink)

Abstract: Artificial Morality is a new, emerging interdisciplinary field that centres around the idea of creating artificial moral agents, or AMAs, by implementing moral competence in artificial systems. AMAs are ought to be autonomous agents capable of socially correct judgements and ethically functional behaviour. This request for moral machines comes from the changes in everyday practice, where artificial systems are being frequently used in a variety of situations from home help and elderly care purposes to banking and (...) court algorithms. It is therefore important to create reliable and responsible machines based on the same ethical principles that society demands from people. New challenges in creating such agents appear. There are philosophical questions about a machine’s potential to be an agent, or mora l agent, in the first place. Then comes the problem of social acceptance of such machines, regardless of their theoretic agency status. As a result of efforts to resolve this problem, there are insinuations of needed additional psychological (emotional and cogn itive) competence in cold moral machines. What makes this endeavour of developing AMAs even harder is the complexity of the technical, engineering aspect of their creation. Implementation approaches such as top- down, bottom-up and hybrid approach aim to find the best way of developing fully moral agents, but they encounter their own problems throughout this effort. (shrink)

This paper addresses two specific and related questions the Buddhist neuroethics program raises for our traditional understanding of Buddhist ethics: Does affective neuroscience supply enough evidence that contempla- tive practices such as compassion meditation can enhance normal cognitive functioning? Can such an account advance the philosophical debate concerning freedom and determinism in a profitable direction? In response to the first question, I argue that dispositions such as empathy and altruism can in effect be understood in terms of the mechanisms that (...) regulate affective cognition. In response to the second question, I claim that moral agency is a type of achievement that comes with learning the norms of ethical con- duct, which are not tractable by specifically neurobiological mechanisms and processes (though, once learned, such norms would have their neural cor- relates when enacted). (shrink)

In this dissertation I discuss the epistemology of ethical intuitionism, in particular the claim that mature moral agents possess self-evident moral knowledge. Traditional intuitionists such as W.D. Ross have claimed that by reflection, we can acquire knowledge of our basic moral duties such as the duty of veracity or benevolence. Recent defenders of intuitionism such as Robert Audi have further developed this theory and argued that adequate understanding can be sufficient for moral knowledge. I criticize this (...) view and argue that such accounts fail to make a convincing case for a foundationalist moral epistemology. Instead, I propose to separate the question of how we acquire moral knowledge from an account that justifies moral beliefs. In response to the first issue, I draw an analogy between our moral intuitions and chosmkian linguistics; in both areas, I argue, human beings possess a universal, unconscious and (partly) inaccessible system of rules that explains how we come to learn language and to make moral judgments. In regards to the justificatory issue, I address recent evolutionary debunking arguments designed to undermine the claim that our moral judgments track stance-independent truths. I try to show that this conclusion only follows under the assumption of an instrumentalist interpretation of moral reasoning which the intuitionist is not forced to accept. (shrink)

Following neo-Aristotelians Alasdair MacIntyre and Martha Nussbaum, we claim that humans are story-telling animals who learn from the stories of diverse others. Moral agents use rational emotions, such as compassion which is our focus here, to imaginatively reconstruct others’ thoughts, feelings and goals. In turn, this imaginative reconstruction plays a crucial role in deliberating and discerning how to act. A body of literature has developed in support of the role narrative artworks (i.e. novels and films) can play in allowing (...) us the opportunity to engage imaginatively and sympathetically with diverse characters and scenarios in a safe protected space that is created by the fictional world. By practising what Nussbaum calls a ‘loving attitude’, her version of ethical attention, we can form virtuous habits that lead to phronesis (practical wisdom). In this paper, and taking compassion as an illustrative focus, we examine the ways that students’ moral education might usefully develop from engaging with narrative artworks through Philosophy for Children (P4C), where philosophy is a praxis, conducted in a classroom setting using a Community of Inquiry (CoI). We argue that narrative artworks provide useful stimulus material to engage students, generate student questions, and motivate philosophical dialogue and the formation of good habits which, in turn, supports the argument for philosophy to be taught in schools. (shrink)

In this thesis, I argue that empathy is morally significant because it plays an important role in informing our moral deliberations. Empathy should be thought of not as an alternative to rational deliberation about how we are to act, but rather as an important input into such deliberation. -/- I focus on exploring what we learn when we empathize with the suffering of another person. Standard epistemic defences of empathy say only that such empathy will give us knowledge of (...) which affective states the suffering person is feeling. I add to those defences by arguing that empathy with a suffering person also gives us additional types of knowledge about the affective states that this person is feeling. Most significantly, I argue that empathizing with a suffering person gives us knowledge of the strength of one of our reasons to help that person. I call this the Normative Epistemic Claim. -/- In chapter 1, I contextualize my approach within the recent philosophical discussion of empathy. In the following chapter, I explore the relationship between empathy and altruism, and argue that there is an unanswered question about how empathy gives rise to altruistic motivation. I suggest that we should answer this question by considering the idea that empathy gives us phenomenal knowledge about the affective states of other people. I defend this idea in chapter 3, where I also relate it to the debate about phenomenal knowledge that has been stimulated by Frank Jackson’s example of Mary, the scientist who comes to see colour for the first time. In chapter 4, I begin to show the importance of phenomenal knowledge to moral deliberation. I argue that by giving us such knowledge, empathy with a suffering person also gives us knowledge of how intrinsically bad that person’s suffering is for them. In chapter 5, I extend this approach to defend the Normative Epistemic Claim. Finally, in chapter 6, I summarize the role of empathy in moral deliberation and broaden my discussion to include consideration of the significance that empathy has in inhibiting harming and in directing us to promote the joy of other people. (shrink)

Experts in Artificial Intelligence (AI) development predict that advances in the dvelopment of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance isn't done with prudence, it can result in negative outcomes for humanity. For this reason, several researchers in the area are trying to develop a robust, beneficial, and safe concept of artificial intelligence. Currently, several of the open problems in the field of AI research arise from the difficulty of avoiding unwanted (...) behaviors of intelligent agents, and at the same time specifying what we want such systems to do. It is of utmost importance that artificial intelligent agents have their values aligned with human values, given the fact that we cannot expect an AI to develop our moral preferences simply because of its intelligence, as discussed in the Orthogonality Thesis. Perhaps this difficulty comes from the way we are addressing the problem of expressing objectives, values, and ends, using representational cognitive methods. A solution to this problem would be the dynamic cognitive approach proposed by Dreyfus, whose phenomenological philosophy defends that the human experience of being-in-the-world cannot be represented by the symbolic or connectionist cognitive methods. A possible approach to this problem would be to use theoretical models such as SED (situated embodied dynamics) to address the values learning problem in AI. (shrink)

In this paper, I examine why moral exemplars are useful and even necessary in moral education despite several critiques from researchers and educators. To support my point, I review recent AI research demonstrating that exemplar-based learning is superior to rule-based learning in model performance in training neural networks, such as large language models. I particularly focus on why education aiming at promoting the development of multifaceted moral functioning can be done effectively by using exemplars, which (...) is similar to exemplar-based learning in AI model training. Furthermore, I discuss the potential limitations and issues related to exemplar-applied moral education with findings from recent studies in AI research raising concerns about model biases and toxic outcomes. I attempt to propose ways to address the concerns regarding employing moral exemplars as well. As remedies, I suggest that autonomy-supporting deliberative and reflective learning processes should be utilized. Furthermore, based on the discussion, I examine how macroscopic socio-cultural aspects influence the effectiveness of exemplar-applied moral education. Suggestions for moral educators and future directions for research in moral education are briefly discussed. (shrink)

In this paper, I will argue that it is a moral obligation for companies, firstly, to accept their moral responsibility with respect to non-discrimination, and secondly, to address the issue with a full-fledged programme, including but not limited to the countering of microsocial discrimination processes through specific policies. On the basis of a broad sketch of how some discrimination mechanisms are actually influencing decisions, that is, causing intended as well as unintended bias in Human Resources Management, I will (...) argue that the well known tools of legislation and ethical codes are necessary although insufficient to cope with the problem. However, based on empirical evidence, we know which set of measures is likely to diminish discrimination. Taking non-discrimination seriously implies complex and longitudinal policies which include assigning responsibility for a non-discrimination policy within the firm, making managers conscious of implicit stereotypes and helping them to cope with prejudices that no one can totally overcome. Insofar as corporate responsibility with respect to non-discrimination is accepted and strategies that are not prohibitively expensive are known, companies are bound to implement them. Not implementing the best set of measures may be considered at least as a moral shortcoming or, depending on the size of the company, mere lip service to the non-discrimination principle. Although the paper refers to empirical material of diverse backgrounds, its intent is clearly normative. It wishes to spell out what companies ought to do if they are committed to responsible behaviour. The discussion of effective remedies against discrimination is based on a case study of a French company. The retailer Auchan was recently surprised to learn that it was discriminating against ethnic minorities despite strong ethical standards, an ethics committee and ethical leadership. The company dropped its naïve beliefs and set up an ambitious policy cope with the issue. The case illustrates what recent empirical research has revealed about the effectiveness of diversity policies: establishing responsibility for diversity results, firm ethical commitment and support from top management make diversity programs effective. (shrink)

I argue that moral skill is limited and precarious. It is limited because global moral skill—the capacity for morally excellent behaviour within an über action domain, such as the domain of living, or of all-things-considered decisions, or the same kind of capacity applied across a superset of more specific action domains—is not to be found in humans. It is precarious because relatively local moral skill, while possible, is prone to misfire. My arguments depend upon the diversity of (...) practical structures confronting human agents, the limitations of human skill learning and reason-sensitivity, and the failure of moral considerations to respect the social and institutional boundaries we develop to structure our practical lives. (shrink)

Teachers in vocational education face two problems. (1) Learning involves the ability to transcend and modify learned knowledge to new circumstances. How should vocational education prepare students for future, unknown tasks? (2) Students should strive to produce work of good quality. How does vocational education help them develop their faculty of judgment to differentiate between better and worse quality? These two ques- tions are tightly interwoven. The paper compares the didactics of philosophy and sloyd. Both developed independently, but their (...) solutions to how one advances the capacity for reflective judgment are similar. Central to this capacity is not merely devising efficient means to work towards pre-existing aims, but to reflect in practice on what one’s aim are and should be. This implies reflection on what future problems, as well as solutions to them, demand of us cognitively, socially and morally. (shrink)

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the (...) paper I briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)