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This paper aims to clear up the epistemology of learning morality from Artificial Moral Advisors (AMAs). We start with a brief consideration of what counts as moral enhancement and consider the risk of deskilling raised by machines that offer moral advice. We then shift focus to the epistemology of moral advice and show when and under what conditions moral advice can lead to enhancement. We argue that people’s motivational dispositions are enhanced by inspiring people to act morally, instead of merely (...) |
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Several proposals for moral enhancement would use AI to augment (auxiliary enhancement) or even supplant (exhaustive enhancement) human moral reasoning or judgment. Exhaustive enhancement proposals conceive AI as some self-contained oracle whose superiority to our own moral abilities is manifest in its ability to reliably deliver the ‘right’ answers to all our moral problems. We think this is a mistaken way to frame the project, as it presumes that we already know many things that we are still in the process (...) |
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In most domains of human life, we are willing to accept that there are experts with greater knowledge and competencies that distinguish them from non-experts or laypeople. Despite this fact, the very recognition of expertise curiously becomes more controversial in the case of “moral experts”. Do moral experts exist? And, if they indeed do, are there ethical reasons for us to follow their advice? Likewise, can emerging technological developments broaden our very concept of moral expertise? In this article, we begin (...) |
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The goal of this paper is to encourage participants in the debate about the locus of cognition (e.g., extended mind vs embedded mind) to turn their attention to noteworthy anthropological and sociological considerations typically (but not uniquely) arising from transhumanist and posthumanist research. Such considerations, we claim, promise to potentially give us a way out of the stalemate in which such a debate has fallen. A secondary goal of this paper is to impress trans and post-humanistically inclined readers to embrace (...) |
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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 (...) |
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Many of our daily activities are now made more convenient and efficient by virtual assistants, and the day when they can be designed to instruct us in certain skills, such as those needed to make moral judgements, is not far off. In this paper we ask to what extent it would be ethically acceptable for these so-called virtual assistants for moral enhancement to use subtle strategies, known as “nudges”, to influence our decisions. To achieve our goal, we will first characterise (...) |
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In this paper, we suggest that personalized LLMs trained on information written by or otherwise pertaining to an individual could serve as artificial moral advisors (AMAs) that account for the dynamic nature of personal morality. These LLM-based AMAs would harness users’ past and present data to infer and make explicit their sometimes-shifting values and preferences, thereby fostering self-knowledge. Further, these systems may also assist in processes of self-creation, by helping users reflect on the kind of person they want to be (...) |
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