The past 15 years occasioned an extraordinary blossoming of research into the cognitive and affective mechanisms that support moral judgment and behavior. This growth in our understanding of moral mechanisms overshadowed a crucial and complementary question, however: How are they learned? As this special issue of the journal Cognition attests, a new crop of research into moral learning has now firmly taken root. This new literature draws on recent advances in formal methods developed in other domains, such as Bayesian inference, (...) reinforcement learning and other machine learning techniques. Meanwhile, it also demonstrates how learning and deciding in a social domain—and especially in the moral domain—sometimes involves specialized cognitive systems. We review the contributions to this special issue and situate them within the broader contemporary literature. Our review focuses on how we learn moral values and moral rules, how we learn about personal moral character and relationships, and the philosophical implications of these emerging models. (shrink)

Previous examinations of the scope of moral concern have focused on aggregate attributions of moral worth. However, because trade‐offs exist in valuing different kinds of entities, tabulating total amounts of moral expansiveness may conceal significant individual differences in the relative proportions of moral valuation ascribed to various entities. We hypothesized that some individuals (“tree‐huggers”) would ascribe greater moral worth to animals and ecosystems than to humans from marginalized or stigmatized groups, while others (“human‐lovers”) would ascribe greater moral worth to outgroup (...) members than to the natural world. Additionally, because moral valuation is often treated as being zero‐sum, we hypothesized that there would be no difference in aggregate levels of moral concern between tree‐huggers and human‐lovers. Finally, because attributions of mental capacities substantially contribute to moral valuation, we predicted that tree‐huggers and human‐lovers would show different patterns of mind attribution for animals versus humans. Three studies (N = 985) yielded evidence in support of our hypotheses. First, over one‐third of participants valued nature over outgroups. Second, extending moral value to animals and nature was not indicative of more expansive moral concern overall; instead, tree‐huggers and human‐lovers were identical in their aggregate ascriptions of moral worth. Third, tree‐huggers had relatively amplified tendencies to attribute mental capacities to animals and relatively reduced tendencies to attribute mental capacities to outgroup members—thus having elevated rates of both anthropomorphism and dehumanization. These findings necessitate a reconceptualization of both the extension of moral worth and the attribution of minds. (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)

Religiosity has been linked with prosocial behavior and a preference for religious ingroups over outgroups. Yet, there are important differences in religious people’s beliefs, values, and practices. Fundamental and quest orientation toward religion may differentially predict intergroup bias in prosociality. Also, individualizing and binding moral foundations may have diverse effects on ingroup and outgroup bias in helping, as moral foundations theory suggests that individualizing and binding foundations differ in how much they focus on ingroup and outgroup moral considerations. In this (...) study, we examined the relationship between religious dimensions, moral foundations, prosocial behavior, and intergroup bias in helping. We found evidence for the effect of individualizing foundations, religious fundamentalism, and quest religion above and beyond demographics and other religious dimensions on intergroup bias in helping. Furthermore, there were independent positive effects of individualizing foundations, religious activity, and age, and independent negative effects of female gender and religious fundamentalism on prosocial behavior. This study provides a more nuanced understanding of the relations between religion, prosociality, and moral intuitions in a Muslim context. (shrink)

Is reducing large-scale intergroup conflict the business of corporations? Although large corporations can use their power and prominence to reduce intergroup conflict in society, it is unclear to what extent stakeholders support corporate Intergroup Responsibility. Study 1 showed that support for CIR correlates in theoretically meaningful ways with relevant economic, social, and moral attitudes, including fair market ideology, consumer support for corporate social responsibility, social dominance orientation, symbolic racism, and moral foundations. Studies 2 and 3 employed experimental designs to test (...) the hypothesis that business leaders who advocate for intergroup tolerance boost perceptions of corporations and their leaders as moral, just, and fair, which in turn, increases stakeholders’ support for CIR. We found support for this hypothesis across two highly publicized and contentious events related to racial conflict in the U.S.: The White supremacy rally in Charlottesville and the federal government’s announcement about the planned rescinding of the Deferred Action for Childhood Arrivals immigration policy. Specifically, exposing participants to real-world tweets by CEOs who advocated intergroup tolerance following these events increased participants’ support for CIR. This effect was mediated by heightened perceptions of corporations and their leaders as moral, just, and fair. Taken together, these findings enhance our understanding of the factors that shape stakeholders’ reactions to CIR; highlight intergroup conflict as an emerging arena for CSR; and illustrate the power of ethical intergroup leadership. (shrink)