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)

This article examines whether bad upbringing affects just or deserved punishment. There are two possible rationales for this claim. First,...

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)