Research seeking to explain the perpetration of violence and atrocities by humans against other humans offers both social and individualistic explanations, which differ namely in the roles attributed to empathy. Prominent social models suggest that some manifestations of inter-human violence are caused by parochial attitudes and obedience reinforced by within-group empathy. Individualistic explanations of violence, by contrast, posit that stable intra-individual characteristics of the brain and personality of some individuals lead them to commit violence and atrocities. An individualistic explanation argues (...) that the chief cause of violence is the perpetrator’'s lack of empathy with the victim. To offer the rudiments of a critique of the individualistic approach, I critically examine a model stating that violence is caused by empathy erosion. Specifically, the discussion of the empathy-erosion model is applied to the case of honour-based violence, a type of violence known for its communal character. Building from prior enquiries into violence and social cognition, I argue that an empathy-erosion explanation of HBV is defective because it does not consider important cultural and historical enablers of violence. Finally, as an alternative to individualism, I propose a psychohistorical approach to HBV in the migration context. This alternative combines psychological and philosophical enquiry with historical and ethnographical analysis. The psychohistorical approach hypothesises that distinct processes of cultural learning of honour codes both scaffold HBV and modulate the perpetrators’ emotions and empathy. (shrink)

We are all guided by thousands of norms, but how did our capacity for normative cognition evolve? I propose there is a deep but neglected link between normative cognition and practical skill. In modern humans, complex motor skills and craft skills, such as toolmaking, are guided by internally represented norms of correct performance. Moreover, it is plausible that core components of human normative cognition evolved as a solution to the distinctive problems of transmitting complex motor skills and craft skills, especially (...) skills related to toolmaking, through social learning. If this is correct, the expansion of the normative domain beyond technique to encompass more abstract norms of fairness, reciprocity, ritual and kinship involved the elaboration of a basic platform for the guidance of skilled action by technical norms. This article motivates and defends this “skill hypothesis” for the origin of normative cognition and sets out various ways in which it could be empirically tested. (shrink)

Many believe that moral education can cause moral progress. At first glance, this makes sense. A major goal of moral education is the improvement of the moral beliefs, values and behaviors of young people. Most would also consider all of these improvements to be important instances of moral progress. Moreover, moral education is a form of social learning, and there are good reasons to think that social learning processes shape episodes of progressive moral change. Despite this, we argue that instead (...) of being a cause of moral change, the main effect of moral education is often to provide stability or continuity. In addition, we will argue that even when the conditions are right for moral education to contribute to moral change, it is far from clear that the resulting changes will always, or even most of the time, end up being progressive. (shrink)

Implicit cognition is cognition that happens automatically and (typically) non-consciously. In moral psychology, implicit cognition is almost always understood in terms of dual process models of moral judgment. In this chapter, we address the question whether implicit moral judgment is usefully cashed out in terms of automatic (“type 1”) processes, and what the limitations of this approach are. Our chapter has six sections. In (1), we provide a brief overview of dual process models of domain-general (moral and non-moral) cognition. (2) (...) reviews a recent debate regarding the soundness of dual process models to begin with. Section (3) is about dual process accounts of moral judgment specifically. The last three sections then survey attempts to go beyond a simplistic automatic/controlled (“type 2”) distinction in conceptualizing implicit moral cognition. Recently, three main theoretical approaches have emerged, which all revolve around the questions whether type 2 processing can successfully penetrate implicit moral cognition. First, rational learning approaches highlight how episodes of moral learning can feed back into and shape our moral intuitions (4). Second, so-called triple process models suggest that automatic cognitive outputs can under certain circumstances be reined in by reflective cognition (5). Finally, recent evidence shows that moral reasoning is not as impotent as earlier developments in empirical moral psychology claimed to demonstrate (6). (shrink)

Research on ‘moral learning’ examines the roles of domain-general processes, such as Bayesian inference and reinforcement learning, in the development of moral beliefs and values. Alert to the power of these processes, and equipped with both the analytic resources of philosophy and the empirical methods of psychology, ‘moral learners’ are ideally placed to discover the contributions of nature, nurture and culture to moral development. However, I argue that to achieve these objectives research on moral learning needs to overcome nativist bias, (...) and distinguish two kinds of social learning: learning from and learning about. An agent learns from others when there is transfer of competence—what the learner learns is similar to, and causally dependent on, what the model knows. When an agent learns about the social world there is no transfer of competence—observable features of other agents are just the content of what-is-learned. Even learning from does not require explicit instruction. A novice can learn from an expert who is ‘leaking’ her morality in the form of emotionally charged behaviour or involuntary use of vocabulary. To the extent that moral development depends on learning from other agents, there is the potential for cultural selection of moral beliefs and values. (shrink)

Digital me ontology and ethics. 21 December 2020. -/- Ljupco Kocarev and Jasna Koteska. -/- This paper addresses ontology and ethics of an AI agent called digital me. We define digital me as autonomous, decision-making, and learning agent, representing an individual and having practically immortal own life. It is assumed that digital me is equipped with the big-five personality model, ensuring that it provides a model of some aspects of a strong AI: consciousness, free will, and intentionality. As computer-based personality (...) judgments are more accurate than those made by humans, digital me can judge the personality of the individual represented by the digital me, other individuals’ personalities, and other digital me-s. We describe seven ontological qualities of digital me: a) double-layer status of Digital Being versus digital me, b) digital me versus real me, c) mind-digital me and body-digital me, d) digital me versus doppelganger (shadow digital me), e) non-human time concept, f) social quality, g) practical immortality. We argue that with the advancement of AI’s sciences and technologies, there exist two digital me thresholds. The first threshold defines digital me having some (rudimentarily) form of consciousness, free will, and intentionality. The second threshold assumes that digital me is equipped with moral learning capabilities, implying that, in principle, digital me could develop their own ethics which significantly differs from human’s understanding of ethics. Finally we discuss the implications of digital me metaethics, normative and applied ethics, the implementation of the Golden Rule in digital me-s, and we suggest two sets of normative principles for digital me: consequentialist and duty based digital me principles. -/- Authors are ordered alphabetically and equally contributed to the paper. (shrink)