In this paper, I develop an account of linguistic content based on the active inference framework. While ecological and enactive theorists have rightly rejected the notion of content as a basis for cognitive processes, they must recognize the important role that it plays in the social regulation of linguistic interaction. According to an influential theory in philosophy of language, normative inferentialism, an utterance has the content that it has in virtue of its normative status, that is, in virtue of the (...) set of commitments and entitlements that the speaker undertakes by producing this utterance. This normative status is determined by the normative attitudes shared by members of the utterer’s linguistic community. I propose here an account of such normative attitudes based on the ecological interpretation of the active inference framework. I explain how social normativity can be understood in that framework as the way in which members of a group shape their social niche to make it more predictable. Finally, I apply this account of social normativity to basic communicative practices, thereby explaining how social normative expectations can emerge to regulate these communicative practices, eventually leading to the institution of the sort of normative statuses constitutive of linguistic content. (shrink)

Confirmation bias is one of the most widely discussed epistemically problematic cognitions, challenging reliable belief formation and the correction of inaccurate views. Given its problematic nature, it remains unclear why the bias evolved and is still with us today. To offer an explanation, several philosophers and scientists have argued that the bias is in fact adaptive. I critically discuss three recent proposals of this kind before developing a novel alternative, what I call the ‘reality-matching account’. According to the account, confirmation (...) bias evolved because it helps us influence people and social structures so that they come to match our beliefs about them. This can result in significant developmental and epistemic benefits for us and other people, ensuring that over time we don’t become epistemically disconnected from social reality but can navigate it more easily. While that might not be the only evolved function of confirmation bias, it is an important one that has so far been neglected in the theorizing on the bias. (shrink)

It is well known that on the Internet, computer algorithms track our website browsing, clicks, and search history to infer our preferences, interests, and goals. The nature of this algorithmic tracking remains unclear, however. Does it involve what many cognitive scientists and philosophers call ‘mindreading’, i.e., an epistemic capacity to attribute mental states to people to predict, explain, or influence their actions? Here I argue that it does. This is because humans are in a particular way embedded in the process (...) of algorithmic tracking. Specifically, if we endorse common conditions for extended cognition, then human mindreading (by website operators and users) is often literally extended into, that is, partly realized by, not merely causally coupled to, computer systems performing algorithmic tracking. The view that human mindreading extends outside the body into computers in this way has significant ethical advantages. It points to new conceptual ways to reclaim our autonomy and privacy in the face of increasing risks of computational control and online manipulation. These benefits speak in favor of endorsing the notion of extended mindreading. (shrink)

This paper argues that our folk-psychological expertise is a special case of extended and enculturated cognition where we learn to regulate both our own and others’ thought and action in accord with a wide array of culturally shaped folk-psychological norms. The view has three noteworthy features: it challenges a common assumption that the foundational capacity at work in folk-psychological expertise is one of interpreting behaviour in mentalistic terms, arguing instead that successful mindreading is largely a consequence of successful mindshaping; it (...) argues that our folk-psychological expertise is not only socially scaffolded in development, it continues to be socially supported and maintained in maturity, thereby presenting a radically different picture of what mature folk-psychological competency amounts to; it provides grounds for resisting a recent trend in theoretical explanations of quotidian social interaction that downplays the deployment of sophisticated mentalizing resources in understanding what others are doing. (shrink)

Starting from Proust’s distinction between the self-attributive and self-evaluative views on metacognition, this paper presents a third view: self-mindshaping. Based on the notion of mindshaping as the core of social cognition, the self-mindshaping view contends that mindshaping abilities can be turned on one’s own mind. Against the self-attributive view, metacognition is not a matter of accessing representations to metarepresent them but of giving shape to those representations themselves. Against the self-evaluative view, metacognition is not blind to content but relies heavily (...) on it. We characterize our view in terms of four issues that, according to Proust, distinguish the previous approaches, namely, whether metacognitive mechanisms are the same as those employed to access other minds, whether metacognitive control requires conceptual representation, whether metacognition is propositional, and whether metacognitive access is linked to mental action. After describing some of the mechanisms for self-mindshaping, we show how this view regards metacognition as grounded on social interaction mechanisms, conceptually driven, possibly, but not necessarily, propositional, and engaged in the practical regulation of mental states. Finally, we examine the prospects for the primacy of self-mindshaping as the primary metacognitive function. We argue that self-attributive processes typically subserve the practical goals emphasized by the mindshaping view, and that the evaluative role played by procedural metacognition can be grounded on social cues rather than on experiential feelings. Even if this is not enough to claim the primacy of self-mindshaping, it still appears as a third kind of metacognition, not reducible to the other two. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...) overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)