In a recent essay, Deery and Nahmias :1255–1276, 2017) utilize interventionism about causation to develop an account of causal sourcehood in order to defend compatibilism about free will and moral responsibility from manipulation arguments. In this paper, we criticize Deery and Nahmias’s analysis of sourcehood by drawing a distinction between two forms of causal invariance that can come into conflict on their account. We conclude that any attempt to resolve this conflict will either result in counterintuitive attributions of moral responsibility (...) or will undermine their response to manipulation arguments. (shrink)

The focus of this paper is an influential family of views in the ethics of self-defense and war: views that ground the agent’s liability to be attacked in self-defense in the agent’s moral responsibility for the threat posed. I critically examine the concept of responsibility employed by such views, by looking at potential connections with the contemporary literature on moral responsibility. I start by uncovering some of the key assumptions that Responsibility Views make about the relevant concept of responsibility, and (...) by scrutinizing those assumptions under the lens of more general theorizing about responsibility. I identify an important conflict that arises at that point. The problem is that the concept presupposed by Responsibility Views is in tension with the standard way of understanding the connection between the neutral and non-neutral forms of moral responsibility. I draw attention to a particular strategy that could be used to address this challenge, but I also identify some important obstacles that stand in the way. (shrink)

How do people judge the degree of causal responsibility that an agent has for the outcomes of her actions? We show that a relatively unexplored factor -- the robustness of the causal chain linking the agent’s action and the outcome -- influences judgments of causal responsibility of the agent. In three experiments, we vary robustness by manipulating the number of background circumstances under which the action causes the effect, and find that causal responsibility judgments increase with robustness. In the first (...) experiment, the robustness manipulation also raises the probability of the effect given the action. Experiments 2 and 3 control for probability-raising, and show that robustness still affects judgments of causal responsibility. In particular, Experiment 3 introduces an Ellsberg type of scenario to manipulate robustness, while keeping the conditional probability and the skill deployed in the action fixed. Experiment 4, replicates the results of Experiment 3, while contrasting between judgments of causal strength and of causal responsibility. The results show that in all cases, the perceived degree of responsibility increases with the robustness of the action-outcome causal chain. (shrink)

Advancements in machine learning have fuelled the popularity of using AI decision algorithms in procedures such as bail hearings, medical diagnoses and recruitment. Academic articles, policy texts, and popularizing books alike warn that such algorithms tend to be opaque: they do not provide explanations for their outcomes. Building on a causal account of transparency and opacity as well as recent work on the value of causal explanation, I formulate a moral concern for opaque algorithms that is yet to receive a (...) systematic treatment in the literature: when such algorithms are used in life-changing decisions, they can obstruct us from effectively shaping our lives according to our goals and preferences, thus undermining our autonomy. I argue that this concern deserves closer attention as it furnishes the call for transparency in algorithmic decision-making with both new tools and new challenges. (shrink)

This paper argues that “free will” is vague. The argument has two steps. First, I argue that free will is a matter of degrees and, second, that there are no sharp boundaries separating free decisions and actions and non‐free ones. After presenting the argument, I focus on one significant consequence of the thesis, although others are mentioned along the way. In short, considerations of vagueness help understand the logic behind so‐called manipulation arguments, but also show why these arguments are ultimately (...) flawed. (shrink)