I develop an expressivist account of verbal disagreements as practical disagreements over how to use words rather than factual disagreements over what words actually mean. This account enjoys several advantages over others in the literature: it can be implemented in a neo-Stalnakerian possible worlds framework; it accounts for cases where speakers are undecided on how exactly to interpret an expression; it avoids appeals to fraught notions like subject matter, charitable interpretation, and joint-carving; and it naturally extends to an analysis of (...) metalinguistic negotiations. (shrink)

Artificial Intelligence (AI) pervades humanity in 2022, and it is notoriously difficult to understand how certain aspects of it work. There is a movement—_Explainable_ Artificial Intelligence (XAI)—to develop new methods for explaining the behaviours of AI systems. We aim to highlight one important philosophical significance of XAI—it has a role to play in the elimination of vagueness. To show this, consider that the use of AI in what has been labeled _surveillance capitalism_ has resulted in humans quickly gaining the capability (...) to identify and classify most of the occasions in which languages are used. We show that the knowability of this information is incompatible with what a certain theory of vagueness—_epistemicism_—says about vagueness. We argue that one way the epistemicist could respond to this threat is to claim that this process brought about the end of vagueness. However, we suggest an alternative interpretation, namely that epistemicism is false, but there is a weaker doctrine we dub _technological epistemicism_, which is the view that vagueness is due to ignorance of linguistic usage, but the ignorance can be overcome. The idea is that knowing more of the relevant data and how to process it enables us to know the semantic values of our words and sentences with higher confidence and precision. Finally, we argue that humans are probably not going to believe what future AI algorithms tell us about the sharp boundaries of our vague words unless the AI involved can be explained in terms understandable by humans. That is, if people are going to accept that AI can tell them about the sharp boundaries of the meanings of their words, then it is going to have to be XAI. (shrink)

What are the objects of speaker meaning? The traditional answer is: propositions. The traditional answer faces an important challenge: if propositions are the objects of speaker meaning then there must be specific propositions that speakers intend their audiences to recover. Yet, speakers typically exhibit a degree of indifference regarding how they are interpreted, and cannot rationally intend for their audiences to recover specific propositions. Therefore, propositions are not the objects of speaker meaning (Buchanan 2010; MacFarlane 2020a; 2020b; and Abreu Zavaleta (...) 2021). In this paper I do two things. Firstly, I outline a collective analogue of this challenge that undermines the most prominent responses to the original challenge. Secondly, I provide a new solution: typical utterances are backed by a cluster of partial communicative intentions. This response resolves both individual and collective variants of the problem and allows us to retain the traditional propositional view of speaker meaning. (shrink)

Abstract“Absolutely nothing,” say the radical Bayesians. “Simplifying decisions,” say the moderates. “Providing premises in practical reasoning,” say the epistemologists. “Coordinating with others,” say I. It is hard to see how to construct an adequate theory of rational behavior without using a graded notion of belief, such as credence. But once we have credence, what role is left for belief? After surveying some answers to this question, I will explore the idea that belief is in a different line of work altogether. (...) Its job is not to rationalize and explain an agent’s behavior, but to track what the agent would accept as a reason. Although some philosophers have seen the connection between belief and reasons, they have tended to see reasons as part of a theory of rational action. This locates belief in the rationalizing and explaining business, where it must vie with credence. In contrast, I argue that reasons play no essential role in an account of individual rationality; they are important because we need to coordinate with others. Credence and belief thus answer to separate needs. (shrink)

Truth-relativism is the claim that the truth of statements is dependent on the context in which they are made. In this article, truth-relativism is considered as a way to explain disagreements. Viewpoint relativism, a recent version of truth-relativism, is introduced as a useful framework to analyse how truth-relativism approaches disagreements. Viewpoint relativism is based on contextual semantics and the logic of viewpoint, which is a two-dimensional modal logic. In viewpoint relativism, the central concept is a point of view in relation (...) to which truth claims are evaluated. Viewpoint relativism is compared to the truth-relativism of Peter Lasersohn and John MacFarlane. Finally, truth-relativism is defended against the critique of Paul Boghossian that it represents untenable ‘replacement relativism’. (shrink)

Patrick Todd argues for a modified Peircean view on which all future contingents are false. According to Todd, this is the only view that makes sense if we fully embrace an open future, rejecting the idea of actual future history. I argue that supervaluational accounts, on which future contingents are neither true nor false, are fully consistent with the metaphysics of an open future. I suggest that it is Todd's failure to distinguish semantic and postsemantic levels that leads him to (...) suppose otherwise. I also show how one can resist Todd's argument (with Brian Rabern) that the conceptual possibility of omniscience requires us to reject Retro‐closure (). (shrink)

Subjective predicates have two interpretive and distributional characteristics that have resisted a comprehensive analysis. First, the use of a subjective predicate to describe an object is in general felicitous only when the speaker has a particular kind of familiarity with relevant features of the object; characterizing an object as _tasty,_ for example, implies that the speaker has experience of its taste. Second, subjective predicates differ from objective predicates in their distribution under certain types of propositional attitude verbs. The goal of (...) this paper is to argue that these features can be explained in a uniform way and within a broadly truth-conditional approach to semantic content, given a view of subjective language as an essentially pragmatic, context-sensitive phenomenon. Specifically, we propose that what renders an issue subjective in discourse is speakers’ awareness of _counterstance contingency_: contingency relative to information states that represent alternative pragmatic stances. (shrink)