Character-trait attribution is an important component of everyday social cognition that has until recently received insufficient attention in traditional accounts of folk psychology. In this paper, I consider how the case of character-trait attribution fits into the debate between mindreading-based and broadly ‘pluralistic’ approaches to folk psychology. Contrary to the arguments of some pluralists, I argue that the evidence on trait understanding does not show that it is a distinct, non-mentalistic mode of folk-psychological reasoning, but rather suggests that traits are (...) ordinarily understood as mentalistic dispositions. I also examine several ways in which trait attribution might also serve regulative, ‘mindshaping’ functions by promoting predictable norm-governed behavior, and argue that mindreading plays several important roles in these cases as well. I conclude that an appreciation of the relationship between trait attribution and mindreading is crucial to understanding the role it plays in our folk psychology. (shrink)

Recent work has shown that memory for various types of information associated with social targets (impressions based on behaviours and political ideology) influences decisions to approach or avoid those same targets. The current study was intended to better understand the extent that memory for other types of details associated with targets (beliefs and behaviours) affects subsequent approach/avoidance decisions. In this investigation, participants formed impressions of social targets represented by a picture and a sentence (a belief in Experiment 1; either a (...) belief or behaviour in Experiment 2). Later, memory for the impressions and sentences associated with each target was tested. Finally, participants decided whether they would want to approach or avoid each target. Results demonstrated that accurate memory strongly influenced approach/avoidance decisions for targets associated with different types of information (beliefs; behaviours), although there was no difference in the effect of memory between beliefs and behaviours. Overall, results suggest an important role of memory in decisions to approach or avoid others. (shrink)

The mainstream science of consciousness offers a few predominate views of how the brain gives rise to awareness. Chief among these are the Higher-Order Thought Theory, Global Neuronal Workspace Theory, Integrated Information Theory, and hybrids thereof. In parallel, rapid development in predictive processing approaches have begun to outline concrete mechanisms by which interoceptive inference shapes selfhood, affect, and exteroceptive perception. Here, we consider these new approaches in terms of what they might offer our empirical, phenomenological, and philosophical understanding of consciousness (...) and its neurobiological roots. (shrink)

Although the relationship between prejudice and predictive coding has attracted more attention recently, many important issues remain to be investigated, such as why prejudice is so persistent and how to accommodate seemingly conflicting studies. In this paper, we offer an integrated framework to explain the functional-computational mechanism of prejudice. We argue that this framework better explains (i) why prejudice is somewhat immune to revision, (ii) how inconsistent processing (e.g. one’s moral belief and biased emotional reaction) may occur, (iii) the dispute (...) over the content of ‘alief’ (unconscious belief), and (iv) conflicting data reported in disinformation studies. Finally, we briefly review the main intervention strategies and offer recommendations. (shrink)

Should you be targeted by police for a crime that AI predicts you will commit? In this paper, we analyse when, and to what extent, the person-based predictive policing (PP) — using AI technology to identify and handle individuals who are likely to breach the law — could be justifiably employed. We first examine PP’s epistemological limits, and then argue that these defects by no means refrain from its usage; they are worse in humans. Next, based on major AI ethics (...) guidelines (IEEE, EU, and RIKEN, etc.), we refine three basic moral principles specific to person-based PP. We also derive further requirements from case studies, including debates in Chicago, New Orleans, San Francisco, Tokyo, and cities in China. Instead of rejecting PP programs, we analyse what necessary conditions should be met for using the tool to achieve social good. While acknowledging its risks, we conclude that the person-based PP could be beneficial in community policing, especially when merging into a larger governance framework of the social safety net. (shrink)

Social interaction is both ubiquitous and central to understanding human behavior. Such interactions depend, we argue, on shared intentionality: the parties must form a common understanding of an ambiguous interaction. Yet how can shared intentionality arise? Many well-known accounts of social cognition, including those involving “mind-reading,” typically fall into circularity and/or regress. For example, A’s beliefs and behavior may depend on her prediction of B’s beliefs and behavior, but B’s beliefs and behavior depend in turn on her prediction of A’s (...) beliefs and behavior. One possibility is to embrace circularity and take shared intentionality as imposing consistency conditions on beliefs and behavior, but typically there are many possible solutions and no clear criteria for choosing between them. We argue that addressing these challenges requires some form of we-reasoning, but that this raises the puzzle of how the collective agent arises from the individual agents. This puzzle can be solved by proposing that the will of the collective agent arises from a simulated process of bargaining: agents must infer what they would agree, were they able to communicate. This model explains how, and which, shared intentions are formed. We also propose that such “virtual bargaining” may be fundamental to understanding social interactions. (shrink)