Robot ethics encompasses ethical questions about how humans should design, deploy, and treat robots; machine morality encompasses questions about what moral capacities a robot should have and how these capacities could be computationally implemented. Publications on both of these topics have doubled twice in the past 10 years but have often remained separate from one another. In an attempt to better integrate the two, I offer a framework for what a morally competent robot would look like and discuss a number (...) of ethical questions about the design, use, and treatment of such moral robots in society. Instead of searching for a fixed set of criteria of a robot’s moral competence I identify the multiple elements that make up human moral competence and probe the possibility of designing robots that have one or more of these human elements, which include: moral vocabulary; a system of norms; moral cognition and affect; moral decision making and action; moral communication. Juxtaposing empirical research, philosophical debates, and computational challenges, this article adopts an optimistic perspective: if robotic design truly commits to building morally competent robots, then those robots could be trustworthy and productive partners, caretakers, educators, and members of the human community. Moral competence does not resolve all ethical concerns over robots in society, but it may be a prerequisite to resolve at least some of them. (shrink)

Punishment and forgiveness are two very different responses to a moral transgression that both have been argued to restore perceptions of moral order within an organization. Unfortunately, it is currently unclear what motivates organizational actors to punish or forgive a norm transgressor. We build on social cognitive theory to argue that punishment and forgiveness of a transgressor are both rooted in self-regulatory processes. Specifically, we argue that organizational actors are more likely to respond to intentional transgressions with punishment, and to (...) unintentional transgressions with forgiveness. However, these effects of transgressor intentionality should be found in particular among actors for whom moral identity is central. We find support for these predictions in a laboratory experiment and a field study among organizational leaders. By simultaneously studying punishment and forgiveness in organizational settings, we provide crucial insight in their shared motivational bases, as well as into important differences between the two. (shrink)

This research aims to understand how two basic schemas—vigilante and reparation—influence online public complaining. Drawing on two experiments, a longitudinal field study and content analysis of online complaints, the current research makes three core contributions. First, we show that for similar service failures, each schema is associated with different justice motivations, which have different moral implications for consumers. Second, vigilante and reparation complainers write complaints in a different manner and are drawn to different online platforms; this information is helpful to (...) identify complainers using each schema. Third, the schemas moderate the process leading to different post-complaint benefits. Specifically, perseverance has a greater effect on obtaining a resolution for reparation complainers compared to vigilantes. Additionally, whereas a recovery leads to an increase in positive affect for reparation complainers, vigilantes experience a high level of positive affect simply by posting their complaint. The theoretical, ethical, and managerial implications of these findings are discussed. (shrink)