Can a person be harmed or wronged by being brought into existence? Can a person be benefited by being brought into existence? Following David Heyd, I refer to these questions as “genethical questions”. This chapter examines three broad approaches to genethics: the no-faults model, the dual-benchmark model, and the parity model. The no-faults model holds that coming into existence is not properly subject to moral evaluation, at least so far as the interests of the person that is to be (...) brought into existence are concerned. The dual benchmark model allows that coming into existence can be subject to moral evaluation, but holds that our judgments about the kinds of lives worth starting ought not be aligned with our judgments about the kinds of lives worth sustaining. I argue against both the no-faults and dual benchmark models. In their place, I argue for a parity approach to genethics, according to which our judgments about the conditions under which life is worth creating ought to be constrained by our judgments about the conditions under which life is worth continuing. (shrink)

Emerging reprogenetic technologies may radically change how humans reproduce in the not-so-distant future. One foreseeable consequence of disruptive innovations in the procreative domain is an increase in the reproductive autonomy of intended parents. Regarding the prospective parental liberty of enhancing non-health–related traits of the offspring, one controversy has particularly dominated the literature. Does parents' choice of genetically enhancing the traits of their descendants compromise children's future personal autonomy? In this article, I will analyse the main arguments which posit that reprogenetic (...) enhancement could be at odds with the child's future autonomy. I will argue that these objections are ill-founded. Moreover, I will present other arguments that show that reprogenetic technologies can enhance the autonomy of future children. Autonomy enhancement is a plausible and pro tanto desirable application of emerging reprogenetic technologies. (shrink)

This article argues that existing approaches to programming ethical AI fail to resolve a serious moral-semantic trilemma, generating interpretations of ethical requirements that are either too semantically strict, too semantically flexible, or overly unpredictable. This paper then illustrates the trilemma utilizing a recently proposed ‘general ethical dilemma analyzer,’ GenEth. Finally, it uses empirical evidence to argue that human beings resolve the semantic trilemma using general cognitive and motivational processes involving ‘mental time-travel,’ whereby we simulate different possible pasts and futures. I (...) demonstrate how mental time-travel psychology leads us to resolve the semantic trilemma through a six-step process of interpersonal negotiation and renegotiation, and then conclude by showing how comparative advantages in processing power would plausibly cause AI to use similar processes to solve the semantic trilemma more reliably than we do, leading AI to make better moral-semantic choices than humans do by our very own lights. (shrink)