The power of technology to transform religions, science, and political institutions has often been presented as nothing short of revolutionary. Does technology have a similarly transformative influence on societies’ morality? Scholars have not rigorously investigated the role of technology in moral revolutions, even though existing research on technomoral change suggests that this role may be considerable. In this paper, we explore what the role of technology in moral revolutions, understood as processes of radical group-level moral change, amounts to. We do (...) so by investigating four historical episodes of radical moral change in which technology plays a noteworthy role. Our case-studies illustrate the plurality of mechanisms involved in technomoral revolutions, but also suggest general patterns of technomoral change, such as technology’s capacity to stabilize and destabilize moral systems, and to make morally salient phenomena visible or invisible. We find several leads to expand and refine conceptual tools for analysing moral change, specifically by crystallizing the notions of ‘technomoral niche construction’ and ‘moral payoff mechanisms’. Coming to terms with the role of technology in radical moral change, we argue, enriches our understanding of moral revolutions, and alerts us to the depths of which technology can change our societies in wanted and unwanted ways. (shrink)

<P>Experimental philosophy is one of the most active and exciting areas in philosophy today. In <EM>Current Controversies in Experimental Philosophy</EM>, Elizabeth O’Neill and Edouard Machery have brought together twelve leading philosophers to debate four topics central to recent research in experimental philosophy. The result is an important and enticing contribution to contemporary philosophy which thoroughly reframes traditional philosophical questions in light of experimental philosophers’ use of empirical research methods, and brings to light the lively debates within experimental philosophers’ intellectual community. (...) Two papers are dedicated to the following four topics:</P> <P></P> <UL> <LI>Language (Edouard Machery & Genoveva Martí)</LI> <LI>Consciousness (Brian Fala, Adam Arico, and Shaun Nicols & Justin Sytsma)</LI> <LI>Free Will and Responsibility (Joshua Knobe & Eddy Nahmias and Morgan Thompson)</LI> <LI>Epistemology and the Reliability of Intuitions (Kenneth Boyd and Jennifer Nagel & Joshua Alexander and Jonathan Weinberg).</LI></UL> <P></P> <P>Preliminary descriptions of each chapter, annotated bibliographies for each controversy, and a supplemental guide to further controversies in experimental philosophy (with bibliographies) help provide clearer and richer views of these live controversies for all readers.</P> <P></P> <P> </P>. (shrink)

This chapter examines the possibility of using AI technologies to improve human moral reasoning and decision-making, especially in the context of purchasing and consumer decisions. We characterize such AI technologies as artificial ethics assistants (AEAs). We focus on just one part of the AI-aided moral improvement question: the case of the individual who wants to improve their morality, where what constitutes an improvement is evaluated by the individual’s own values. We distinguish three broad areas in which an individual might think (...) their own moral reasoning and decision-making could be improved: one’s actions, character, or other evaluable attributes fall short of one’s values and moral beliefs; one sometimes misjudges or is uncertain about what the right thing to do is in particular situations, given one’s values; one is uncertain about some fundamental moral questions or recognizes a possibility that some of one’s core moral beliefs and values are mistaken. We sketch why one might think that AI tools could be used to support moral improvement in those areas, and describe two types of assistance: preparatory assistance, including advice and training supplied in advance of moral deliberation; and on-the-spot assistance, including on-the-spot advice and facilitation of moral functioning over the course of moral deliberation. Then, we turn to some of the ethical issues that AEAs might raise, looking in particular at three under-appreciated problems posed by the use of AI for moral self-improvement: namely, reliance on sensitive moral data; the inescapability of outside influences on AEAs; and AEA usage prompting the user to adopt beliefs and make decisions without adequate reasons. (shrink)

This article provides an overview of recent, empirically supported categorization schemes that have been proposed to distinguish different kinds of norms. Amongst these are the moral–conventional distinction and divisions within moral norms such as those proposed by moral foundations theory. I identify several dimensions along which norms have been and could usefully be categorized. I discuss some of the most prominent norm categorization proposals and the aims of these existing categorization schemes. I propose that we take a pluralistic approach toward (...) categorizing norms: Depending on our goals, it may be useful to focus on different features of norms, and as a result, it will be useful to categorize norms in multiple ways. (shrink)

The extent to which normative cognition varies across cultures has implications for a number of important philosophical questions. This chapter examines several striking commonalities and differences in normative cognition across cultures. We focus on cross-cultural commonality and difference in norm typologies (especially the moral-conventional distinction); the externalization of norms; which aspects of life are normativized; and some of the concepts and principles associated with the normative domain. We argue that the distinction between moral and conventional norms is probably not universal (...) and that several concepts and principles that have been suggested as candidate universals may in fact be culturally local. We nevertheless isolate two possible universals: the phenomenon of externalizing norms and the normativization of a preferred class of subject matters. (shrink)