As autonomous systems rapidly become ubiquitous, there is a growing need for a legal and regulatory framework that addresses when and how such a system harms someone. There have been several attempts within the philosophy literature to define harm, but none of them has proven capable of dealing with the many examples that have been presented, leading some to suggest that the notion of harm should be abandoned and “replaced by more well-behaved notions”. As harm is generally something that is (...) caused, most of these definitions have involved causality at some level. Yet surprisingly, none of them makes use of causal models and the definitions of actual causality that they can express. In this paper, which is an expanded version of the conference paper Beckers et al. (Neurips, 2022), we formally define a qualitative notion of harm that uses causal models and is based on a well-known definition of actual causality. The key features of our definition are that it is based on contrastive causation and uses a default utility to which the utility of actual outcomes is compared. We show that our definition is able to handle the examples from the literature, and illustrate its importance for reasoning about situations involving autonomous systems. (shrink)

Methodological nationalism assumes that, to understand a phenomenon, nation- states are the relevant units of analysis. This assumption has been recognized as a source of bias in most of the social sciences. Does it bias Rawls' understanding of justice, too? This paper argues that it does for at least two reasons. Firstly, what Rawls thinks justice requires on a global scale falls short of what states and international organisations actually do. Secondly, framing the difference principle in national terms, as Rawls (...) did, is a way to increase the “citizenship rent”, or the revenue a person receives just by being citizen of a rich country The paper argues that methodological nationalism biases Rawls’ understanding of justice by affecting both the plausibility and the coherence of his theory. (shrink)