This paper develops axiomatic foundations for a probabilistic-interventionist theory of causal strength. Transferring methods from Bayesian confirmation theory, I proceed in three steps: I develop a framework for defining and comparing measures of causal strength; I argue that no single measure can satisfy all natural constraints; I prove two representation theorems for popular measures of causal strength: Pearl's causal effect measure and Eells' difference measure. In other words, I demonstrate these two measures can be derived from a set of plausible (...) adequacy conditions. The paper concludes by sketching future research avenues. (shrink)

Philosophy and Phenomenological Research, EarlyView.

Philosophy and Phenomenological Research, Volume 103, Issue 3, Page 687-709, November 2021.

I defend an iterated knowledge condition on responsibility for outcomes: one is responsible for a consequence of one's action only if one was in a position to know that, for all one was in a position to know, one's action would have that consequence.

Much of our ordinary thought and talk about responsibility exhibits what I call the ‘pie fallacy’—the fallacy of thinking that there is a fixed amount of responsibility for every outcome, to be distributed among all those, if any, who are responsible for it. The pie fallacy is a fallacy, I argue, because how responsible an agent is for some outcome is fully grounded in facts about the agent, the outcome and the relationships between them; it does not depend, in particular, (...) on how responsible anyone else is for that same outcome. In this paper, I explore how the pie fallacy can arise by considering several different kinds of case in which two or more agents are responsible for the same outcome. I’ll end with some brief remarks on the potential consequences of my arguments for how to think about responsibility in war. (shrink)

It is often natural to compare two events by describing one as ‘more of a cause’ of some effect than the other. But what do such comparisons amount to, exactly? This paper aims to provide a guided tour of the recent literature on ‘degrees of causation’. Section 2 looks at what I call ‘dependence measures’, which arise from thinking of causes as difference‐makers. Section 3 looks at what I call ‘production measures’, which arise from thinking of causes as jointly sufficient (...) for their effects. Finally, section 4 examines the important question of whether there is any sense in which an agent is more responsible for an outcome in virtue of her action being more of a cause of it. I describe a puzzle that emerges from this question, and explore various strategies for resolving it. (shrink)

A provocateur does not pose a threat of harm. Hence, a forceful response to provocation is generally considered wrongful. And yet, a provocateur is often denied recourse to a self-defence justification if she defends herself against such a violent response. In recent work, Kimberly Ferzan argues that a provocateur forfeits defensive rights but this forfeiture cannot be explained in the same way as an aggressor’s rights forfeiture. Ordinarily, one forfeits the right not to be harmed and to self-defend against harm (...) by threatening to violate another person’s rights. But provocateurs forfeit their defensive rights because they bring about the situation in which defence becomes necessary. As I argue here, positing these two types of forfeiture justifications is neither desirable nor necessary. I suggest a unified rights forfeiture account that grounds rights forfeiture in moral responsibility for an unjust threat. My account offers clearer distinctions than alternative unified accounts, which I briefly discuss. Furthermore, the account can provide better explanations of intuitively plausible judgements. A provocateur will have less extensive defensive rights than an innocent victim, but will not lose all her defensive rights simply because ‘she started it.’. (shrink)

It seems intuitive to think that if you contribute more to an outcome, you should be more morally responsible for it. Some philosophers think this is correct. They accept the thesis that ceteris paribus one's degree of moral responsibility for an outcome is proportionate to one's degree of causal contribution to that outcome. Yet, what the degree of causal contribution amounts to remains unclear in the literature. Hence, the underlying idea in this thesis remains equally unclear. In this article, I (...) will consider various plausible criteria for measuring degrees of causal contribution. After each of these criteria, I will show that this thesis entails implausible results. I will also show that there are other plausible theoretical options that can account for the kind of cases that motivate this thesis. I will conclude that we should reject this thesis. (shrink)

Which country, politician, or policy is more of a cause of the Covid-19 pandemic death toll? Which of the two factories causally contributed more to the pollution of the nearby river? A wide-ranging portion of our everyday thought and talk, and attitudes rely on a graded notion of causation. However, it is sometimes highlighted that on most contemporary accounts, causation is on-off. Some philosophers further question the legitimacy of talk of degrees of causation and suggest that we avoid it. Some (...) hold that the notion of degrees of causation is an illusion. In this paper, I’ll argue that causation does come in degrees. (shrink)

I argue for responsibility internalism. That is, moral responsibility (i.e., accountability, or being apt for praise or blame) depends only on factors internal to agents. Employing this view, I also argue that no one is responsible for what AI does but this isn’t morally problematic in a way that counts against developing or using AI. Responsibility is grounded in three potential conditions: the control (or freedom) condition, the epistemic (or awareness) condition, and the causal responsibility condition (or consequences). I argue (...) that causal responsibility is irrelevant for moral responsibility, and that the control condition and the epistemic condition depend only on factors internal to agents. Moreover, since what AI does is at best a consequence of our actions, and the consequences of our actions are irrelevant to our responsibility, no one is responsible for what AI does. That is, the so-called responsibility gap exits. However, this isn’t morally worrisome for developing or using AI. Firstly, I argue, current AI doesn’t generate a new kind of concern about responsibility that the older technologies don’t. Then, I argue that responsibility gap is not worrisome because neither responsibility gap, nor my argument for its existence, entails that no one can be justly punished, held accountable, or incurs duties in reparations when AI causes a harm. (shrink)

A gunman intends to shoot and kill Victim. He shoots and misses his target, but the gunshot startles a group of water buffalo, causing them to trample the victim to death. The gunman brings about the intended effect, Victim’s death, but in a “deviant” way rather than the one planned. This paper argues that such causal structures, deviant causal chains, pose serious problems for several key legal concepts. -/- I show that deviant causal chains pose problems for the legal distinction (...) between attempts and completed crimes, and also for the distinction between attempts and mere preparations. I then suggest that cases of deviant causation undermine notions of legal liability for completed crimes in terms of actus reus and mens rea, and argue that natural accounts of negligence misclassify some cases involving deviant causal chains. After diagnosing several conceptual vulnerabilities in the law revealed by deviant causal chains, I show that natural strategies for shoring up legal theories in the face of these examples are unpromising. (shrink)