Assuming that there is moral progress, and assuming that the abolition of slavery is an example of it, how does moral progress occur? Is it mainly driven by specific individuals who have gained new moral insights, or by changes in the socio‐economic and epistemic conditions in which agents morally judge the norms and practices of their society, and act upon these judgements? In this paper, I argue that moral progress is a complex process in which changes at the level of (...) belief and changes at the level of institutions and social practices are deeply intertwined, and that changes in the socio‐economic and epistemic conditions of moral agency constitute the main motor of moral progress. I develop my view of moral progress by way of grappling with Michelle Moody‐Adams’ prominent philosophical account of it. My view is less intellectualistic and individualistic than hers, does not presuppose meta‐ethical moral realism, and blurs her distinction between moral progress in beliefs and moral progress in social practices. I point out the limits of humans to progress morally, which are partly grounded in our evolutionary history, and argue that moral progress is always of a ‘local’ nature. (shrink)

One of the objectives in the field of artificial intelligence for some decades has been the development of artificial agents capable of coexisting in harmony with people and other systems. The computing research community has made efforts to design artificial agents capable of doing tasks the way people do, tasks requiring cognitive mechanisms such as planning, decision-making, and learning. The application domains of such software agents are evident nowadays. Humans are experiencing the inclusion of artificial agents in their environment as (...) unmanned vehicles, intelligent houses, and humanoid robots capable of caring for people. In this context, research in the field of machine ethics has become more than a hot topic. Machine ethics focuses on developing ethical mechanisms for artificial agents to be capable of engaging in moral behavior. However, there are still crucial challenges in the development of truly Artificial Moral Agents. This paper aims to show the current status of Artificial Moral Agents by analyzing models proposed over the past two decades. As a result of this review, a taxonomy to classify Artificial Moral Agents according to the strategies and criteria used to deal with ethical problems is proposed. The presented review aims to illustrate (1) the complexity of designing and developing ethical mechanisms for this type of agent, and (2) that there is a long way to go (from a technological perspective) before this type of artificial agent can replace human judgment in difficult, surprising or ambiguous moral situations. (shrink)