Scientists from various disciplines have begun to focus attention on the psychology and biology of human morality. One research program that has recently gained attention is universal moral grammar (UMG). UMG seeks to describe the nature and origin of moral knowledge by using concepts and models similar to those used in Chomsky's program in linguistics. This approach is thought to provide a fruitful perspective from which to investigate moral competence from computational, ontogenetic, behavioral, physiological and phylogenetic perspectives. In this article, (...) I outline a framework for UMG and describe some of the evidence that supports it. I also propose a novel computational analysis of moral intuitions and argue that future research on this topic should draw more directly on legal theory. (shrink)

Proponents of double‐effect reasoning — relying in part on a distinction between intention and foresight — assert that it is worse intentionally to cause harm than to cause harm with foresight but without intention. They hold, for example, that terror bombing is worse than tactical bombing in so far as terror bombing is the intentional harming of non‐combatants while tactical bombing is not. In articulating the ethical relevance of the intended/foreseen distinction, advocates of double effect employ the Kantian end‐not‐means principle. (...) Jonathan Bennett has recently argued that this principle cannot ground the ethical relevance of the intended/foreseen distinction. He holds that the principle demands that one benefit others while double effect deals with acts that do not benefit others. Thus, he maintains, the intended/foreseen distinction does not have ethical import and double effect is not tenable. I argue for a reading of the end‐not‐means principle that grounds the ethical relevance of both the intended/foreseen distinction and double effect. (shrink)

Journal Name: The Law & Ethics of Human Rights Issue: Ahead of print.

Stable URL: http://links.jstor.org/sici?sici=0048-3915%28198923%2918%3A4%3C334%3AAIACTD%3E2.0.CO%3B2-P..