The normativity of so-called “coherence” or “structural” requirements of rationality has been hotly debated in recent years. However, relatively little has been said about the nature of structural rationality, or what makes a set of attitudes structurally irrational, if structural rationality is not ultimately a matter of responding correctly to reasons. This paper develops a novel account of incoherence (or structural irrationality), critically examining Alex Worsnip’s recent account. It first argues that Worsnip’s account both over-generates and under-generates incoherent patterns of (...) attitudes, and then proposes an alternative that both avoids these problems and captures a crucial insight behind Worsnip’s account. According to this account, a set of attitudes is incoherent just in case having all of the attitudes in that set is incompatible with reacting to a question in a way that one is, in virtue of having the attitudes, committed to. (shrink)

Simion and Kelp explain the trustworthiness of an AI based on that AI’s disposition to meet its obligations. Roughly speaking, according to Simion and Kelp, an AI is trustworthy regarding its task if and only if that AI is obliged to complete the task and its disposition to complete the task is strong enough. Furthermore, an AI is obliged to complete a task in the case where the task is the AI’s etiological function or design function. This account has a (...) strength in that it can provide a unificatory rationale for the trustworthy-making properties of AIs. According to this account, being explainable, being safe, and being transparent are the trustworthy-making properties of an AI because an AI can fulfill its etiological or design functions in the case where it is explainable, safe, and transparent. This paper shows that though Simion and Kelp’s account has a strength, this account is not satisfactory for two reasons. The first reason is that an AI’s trustworthiness is not determined just by the AI’s disposition to meet obligations, and the second reason is that it is difficult to explain how an AI’s etiological function and design function have to do with that AI’s obligations. To provide a full-fledged account, Simion and Kelp should dismiss these concerns. (shrink)

To explain why we should be structurally rational – or mentally coherent – is notoriously difficult. Some philosophers argue that the normativity of structural rationality can be explained in terms of substantive rationality, which is a matter of correct response to reason. I argue that the psychological phenomena – positive illusions – are counterexamples to the substantivist approach. Substantivists dismiss the relevance of positive illusions because they accept evidentialism that reason for belief must be evidence. I argue that their evidentialist (...) stance would imply that we are caught in unsolvable dilemmas arising from positive illusions. (shrink)

Why should we avoid incoherence? An influential view tells us that incoherent combinations of attitudes are such that it is impossible for all of those attitudes to be simultaneously vindicated by the evidence. But it is not clear whether this view successfully explains what is wrong with certain akratic doxastic states. In this paper I flesh out an alternative response to that question, one according to which the problem with incoherent combinations of attitudes is that it is impossible for all (...) of those attitudes to be simultaneously knowledgeable. This alternative response explains what is wrong with akratic combinations of attitudes using commonly accepted epistemological theses. The paper still shows how this proposal is able to explain the badness of incoherent combinations involving the absence of attitudes, suspended judgment and credence. These explanations deploy the notions of knowledge and being in a position to know, instead of the notion of responding properly to the evidence. Finally, I suggest that this picture can be generalized to the realm of practical rationality as well. (shrink)