Suppose we can save either a larger group of persons or a distinct, smaller group from some harm. Many people think that, all else equal, we ought to save the greater number. This article defends this view (with qualifications). But unlike earlier theories, it does not rely on the idea that several people's interests or claims receive greater aggregate weight. The argument starts from the idea that due to their stakes, the affected people have claims to have a say in (...) the rescue decision. As rescuers, our primary duty is to respect these procedural claims, which we must do by doing what these people would decide, in a process where each is given an equal vote on the matter. So in cases where each votes in their own self-interest, respect for their equal right to decide, or their autonomy, will lead us to save the greater number. The argument is explained in detail, with special attention to the questions of how, exactly, it avoids aggregation, and of why majority rule is superior to lottery procedures. The view has further advantages. Especially, it explains the “partial” relevance of numbers in cases involving unequal harms, and it does so in a way that dissolves the appearance of paradox that besets theories of “partial aggregation.”. (shrink)

This paper concerns the double standard debate in the ethics of AI literature. This debate essentially revolves around the question of whether we should subject AI systems to different normative standards than humans. So far, the debate has centered around the desideratum of transparency. That is, the debate has focused on whether AI systems must be more transparent than humans in their decision-making processes in order for it to be morally permissible to use such systems. Some have argued that the (...) same standards of transparency should be applied across the board, for AI systems and humans alike. Others have argued that we should hold AI systems to higher standards than humans in terms of transparency. In this paper, we first point out that there are structurally similar double standard debates to be had about other desiderata besides transparency, such as predictive accuracy. Second, we argue that when we focus on predictive accuracy, there are at least two reasons for holding AI systems to a lower standard than humans. (shrink)

Brad Hooker’s rule-consequentialism and T.M. Scanlon’s contractualism have been some of the most debated ethical theories in normative ethics during the last twenty years or so. This article suggests that these theories can be compared at two levels. Firstly, what are the deep, structural differences between the rule-consequentialist and contractualist frameworks in which Hooker and Scanlon formulate their views? Secondly, what are the more superficial differences between Hooker’s and Scanlon’s formulations of these theories? Based on exploring these questions and several (...) purported differences between Hooker’s and Scanlon’s views, this article argues that, at the structural level, the two theories are more similar than previous recognised. It suggests that there is only one candidate for a deeper difference and even it may not be that significant. This insight sheds new light on both contractualism and rule-consequentialism, and it will also help us to formulate better versions of the views. (shrink)

I aim to show that the common idea according to which we can assess how bad death is for the person who dies relies on numerous dubious premises. These premises are intuitive from the point of view of dominant views regarding the badness of death. However, unless these premises have been thoroughly justified, we cannot measure the badness of death for the person who dies. In this paper, I will make explicit assumptions that pertain to the alleged level of badness (...) of death. The most important assumption I will address is the assignment of a quantitative value of zero to death, which leads to the conclusion that there are lives not worth living for the affected person. Such a view interprets the idea of a live worth living in quantitative terms. It is in conflict with actual evaluations of relevant people of their lives. (shrink)

This thesis is about the moral reasons we have to do less than best. It consists of six chapters. Part I of the thesis proposes, extends, and defends reasons to do less than best. In Chapter One (“The Conditional Obligation”) I outline and reject two recent arguments from Joe Horton and Theron Pummer for the claim that we have a conditional obligation to bring about the most good. In Chapter Two (“Agglomeration and Agent-Relative Costs”) I argue that agent-relative costs can (...) justify permissions to less than best in a far greater range of decisions contexts than we currently believe. In Chapter Three (“Risk and Aggregation”) I discuss how anti-aggregative moral theories deal with risk, whilst proposing an argument in favour of ex-post moral theories. -/- In Part II of the thesis, I discuss longtermism, presenting a series of reasons to believe we have both significant permissions and obligations to prioritise those in the short-term. In Chapter Four (“Listening to Future People”) I criticise a recent argument presented by Andreas Mogensen for the claim we cannot have obligations grounded in the wellbeing of future people. I then show that, even permitting the existence of obligations to future people, we still have significant reasons to resist longtermism on the grounds of partiality. In Chapter Five (“The Complaints of Future People”) I argue that scepticism about aggregation is inconsistent with an obligation, or indeed even a permission, to help far future people. In Chapter Six (“Leaving the Present Behind”) I explore the moral significance of “dooming”, whilst arguing that we have a pro tanto reason of fairness to prioritise aiding those currently in existence. (shrink)

Prioritarianism is a family of views comparing distributions of well-being. What unites prioritarians is the thought that when deciding whether a distribution is overall better than another, the worse off have priority. There are different ways of making this idea more precise. However, some of these views have extreme aggregative implications and others have extreme anti-aggregative implications. This raises the question: can prioritarians accommodate partial aggregation (aggregating in some but not all cases) and avoid both extremes? In this paper, I (...) explore and focus on a neglected anti-aggregation condition. I identify a family of views I call ‘bounded prioritarianism’ that meet this condition by placing an upper bound on the moral significance of benefits. I argue that anyone sympathetic to partial aggregation ought to opt for a version of bounded prioritarianism. (shrink)