Representing unborn generations to more suitably include future interests in today's climate policymaking has sparked much interest in recent years. In this review we survey the main proposed instruments to achieve this effect, some of which have been attempted in polities such as Israel, Philippines, Wales, Finland, and Chile. We first review recent normative work on the idea of representing future people in climate governance: The grounds on which it has been advocated, and the main difficulties that traditional forms of (...) representation have encountered when applied to this particular case. We then survey existing institutional means to represent generations to come. We separate out representation in courts, in parliament, and by independent bodies, and review specific instruments including climate litigation, parliamentary commissions, future representatives, youth quotas, and independent offices for future generations. We examine the particular forms whereby each of these may suitably represent future people, including audience representation, surrogate representation, and indicative representation, and discuss the main challenges they encounter in so doing. (shrink)

New AI technologies have the potential to cause unintended harms in diverse domains including warfare, judicial sentencing, biomedicine and governance. One strategy for realising the benefits of AI whilst avoiding its potential dangers is to ensure that new AIs are properly ‘aligned’ with some form of ‘alignment target.’ One danger of this strategy is that – dependent on the alignment target chosen – our AIs might optimise for objectives that reflect the values only of a certain subset of society, and (...) that do not take into account alternative views about what constitutes desirable and safe behaviour for AI agents. In response to this problem, several AI ethicists have suggested alignment targets that are designed to be sensitive to widespread normative disagreement amongst the relevant stakeholders. Authors inspired by voting theory have suggested that AIs should be aligned with the verdicts of actual or simulated ‘moral parliaments’ whose members represent the normative views of the relevant stakeholders. Other authors inspired by decision theory and the philosophical literature on moral uncertainty have suggested that AIs should maximise socially expected choiceworthiness. In this paper, I argue that both of these proposals face several important problems. In particular, they fail to select attractive ‘compromise options’ in cases where such options are available. I go on to propose and defend an alternative, bargaining-theoretic alignment target, which avoids the problems associated with the voting- and decision-theoretic approaches. (shrink)