To support the trustworthiness of AI systems, it is essential to have precise methods to determine what or who is to account for the behaviour, or the outcome, of AI systems. The assignment of responsibility to an AI system is closely related to the identification of individuals or elements that have caused the outcome of the AI system. In this work, we present an overview of approaches that aim at modelling responsibility of AI systems, discuss their advantages and shortcomings to (...) deal with various aspects of the notion of responsibility, and present research gaps and ways forward. (shrink)

An ingenious argument – we may call it the Argument from Excuse – purports to show that the Standard View of Ignorance is false and the New View of Ignorance is true. On the former, ignorance is lack of knowledge; on the latter, ignorance is lack of true belief. I defend the Standard View by arguing that the Argument from Excuse is unsound. I also argue that an implication of my case is that Factual Ignorance Thesis (FIT) is false. According (...) to FIT, whenever an agent A acts from factual ignorance, A is morally blameworthy (culpable) for the act only if A is morally blameworthy (culpable) for the ignorance from which A acts. (shrink)

One of the most venerable and enduring intuitions in epistemology concerns the relationship between true belief and knowledge. Famously articulated by Socrates, it holds that true belief does not suffice for knowledge. I discuss a matching intuition about ignorance according to which true belief does not suffice for the absence of ignorance. I argue that the latter intuition undercuts the New View of Ignorance and supports the Standard View of Ignorance.