Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, we (...) critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)

David Kirkby argues that I have misrepresented Marc Hauser's conception of a moral faculty, in a way that invalidates my chief arguments against the existence and necessity of such a faculty. The core of Kirkby's challenge is that what Hauser lists as necessary conditions for the moral faculty to do its work are not themselves components of that faculty. I argue that there is no useful way to distinguish necessary conditions of moral judgments from the alleged moral faculty itself, and (...) that even if we could do this, we would be left with an empty non-explanation of the supposed moral faculty that amounts to nothing more than the claim that we have a faculty that generates judgments of right versus wrong. (shrink)

This essay takes a transhistorical leap to connect the philosophy of Thomas Reid to the dramatic presentation of ethical choices in Shakespeare's Macbeth. Juxtaposing the two figures reveals an underlying moral ontology common to both. This shared ontology is remarkably nuanced, ultimately affirming moral liberty whilst decisively registering the fallibility of the ‘moral faculty.’ The final section asks whether the degree of comparability warrants any further speculation, revisiting the question of a ‘common humanity.’.

I argue that theoretical developments in the study of the Universal Declaration of Human Rights (UDHR) should occur alongside progress in moral psychology, particularly moral cognition. More specifically, I argue that Universal Moral Grammar (UMG), a model positing an innate, regulative, and universal moral faculty characterizable in terms of rules and principles, fulfills the role of the foundational model needed to usefully conceptualize the UDHR. As such, I provide a detailed account of UMG against competing models in moral psychology. Furthermore, (...) I combine UMG with Talbott’s Historical-Social Process of Moral Discovery and Rawls’s reflective equilibrium to show how the UDHR represents a major development in moral exploration, one indicating a more penetrative look into the inner moral nature of humans that attempts to reach, but does not attain, one interpretation of reflective equilibrium tied to cognitive moral psychology. (shrink)

Is there a cognitive faculty dedicated to the moral domain? Mark Johnson has developed a number of arguments against the existence of such a faculty. I claim that these arguments are not persuasive and that there may be a moral faculty.

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, we (...) critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)