The interpretation of many texts in the everyday world is concerned with their truth value in relation to the reality around us. The recent publication experiments with computer-generated texts have shown that the distinction between true and false, or reality and fiction, is not always clear from the text itself. Essentially, in today’s media space, one may encounter texts, videos or images that deceive the reader by displaying nonsensical content or nonexistent events, while nevertheless appearing as genuine human-produced messages. This (...) article outlines certain problems with artificial intelligence (AI)-generated content, and frames the issue as a problem of recognising its proper referential reality. Examples include generative texts, deepfakes and their functioning in contemporary culture. The article makes use of the concepts of mimicry and nonsense to reveal the elements and counterparts in the communicative processes involving generated media. (shrink)

Recent science fiction has brought anthropomorphic robots from an imaginary far-future to contemporary spacetime. Employing semiotic concepts of semiosis, unpredictability and art as a modelling system, this study demonstrates how the artificial characters in four recent series have greater analogy with human behaviour than that of machines. Through Ricoeur’s notion of identity, this research frames the films’ narratives as typical literary and thought experiments with human identity. However, the familiar sociotopes and technoscientific details included in the narratives concerning data, privacy (...) and human–machine interaction blur the boundary between the human and the machine in both fictional and real-world discourse. Additionally, utilising Haynes’ scientist stereotypes, the research puts the robot makers into focus, revealing their secret agendas and hidden agency behind the artificial creatures. (shrink)

In this essay I ask if there are reasons that count in favor of having a desire in virtue of its attitudinal nature. I call those considerations desire's own reasons. I argue that desire's own reasons are considerations that explain why a desire meets its constitutive standard of correctness and that it meets this standard when its satisfaction would also be satisfactory to the subject who has it. Reasons that bear on subjective satisfaction are fit to regulate desires through experience (...) and imagination because desires are naturally sensitive to them. I also analyze the limits of application that such reasons have and how desire's own reasons relate to other kinds of reasons. (shrink)

It is not uncommon to think that having a desire involves taking its object to be good in some sense. This idea has been developed in two directions: either toward a view that understands the positive evaluation in terms of a judgment or belief or a view according to which the relevant evaluation is perception-like. In this article, I defend a novel proposal that takes the positive evaluation of the object of desire to be a kind of imagining.

This chapter argues that our self-knowledge is often mediated by our affective self-knowledge. In other words, we often know about ourselves by knowing our own emotions. More precisely, what Cassam has called “substantial self-knowledge” (SSK), such as self-knowledge of one's character, one's values, or one's aptitudes, is mediated by affective forecasting, which is the process of predicting one's emotional responses to possible situations. For instance, a person comes to know that she is courageous by predicting her own emotional reactions to (...) possible risks and dangers. This hypothesis explains why attaining substantive self-knowledge tends to be difficult. Attaining substantive self-knowledge is difficult because, first, SSK is mediated by affective forecasting and, second, we tend to be wrong about predicting the intensity and duration of our own emotional reactions. As a result, we can identify what is common to central cases of SSK: such cases require knowledge about complex dispositions whose manifestations involve affective responses that one is not sufficiently familiar with. One thus needs to resort to the highly fallible method of affective forecasting. (shrink)

The thesis introduces and criticizes the discourse on technology, with a specific reference to the concept of AI. The discourse on AI is particularly saturated with reified metaphors which drive connotations and delimit understandings of technology in society. To better analyse the discourse on AI, the thesis proposes the concept of “Expected AI”, a composite signifier filled with historical and sociocultural connotations, and numerous referent objects. Relying on cultural semiotics, science and technology studies, and a diverse selection of heuristic concepts, (...) the thesis delves beneath the surface of AI discourse and demonstrates the hidden political, social, cultural, and ecological dangers of AI. The entanglement of the discourse(s) with (science) fiction, folklore, myth, and religion impacts how AI is perceived and received, as well as the expectations to AI-enabled technologies now and in the future. The thesis also proposes a more ethical and comprehensive ontological model for AI systems. The model describes AI systems as complex figurations, considering their socio-material organisation, global economic-material becoming, and impact on the environment, social institutions, and the semiosphere. The dissertation argues that AI should be understood not just as an object or sociotechnical system, but as its entire product chain encompassing people and cultures, as well as the used resources and impact (both material-ecological and semiotic) on a planetary scale. (shrink)

When we think about what others believe and want, we are usually affected by what we know about their attitudes. If I’m aware that another person believes something, I have an opportunity to agree or disagree with it. If I think that another person wants something, I can endorse or disapprove of her desire. The importance of such reactions to attributed beliefs and desires has thus far been overlooked in philosophy of mind where the focus has been on explanatory and (...) predictive roles of attitude attribution. The primary goal of this thesis is to fill this lacuna and to articulate the indispensability of such reactions – agreement/disagreement and endorsement/disapproval – for social cognition. In the process of doing it I also show how these initial reactions ground certain further possible responses in intersubjective communication: manipulation, negotiation or adoption of attributed attitudes. The second aim of this thesis is to explicate what is it about belief and desire attributions that makes the responses I’ve described possible. Because one can agree or disagree both with beliefs and assertions and endorse or disapprove both desires and requests, I argue that we should understand belief attributions in terms of assertions and desire attributions in terms of requests. When we think what someone believes and wants, we treat her as a conversation partner because her attitudes call for the same responses as speech acts do, even if she hasn’t made any explicit assertion or request herself. In short, beliefs and desires have communicative significance. Given such significance, we can also see what one needs to take into consideration when attributing these attitudes to another. My answer in the thesis is that belief and desire attributions have to be grounded in facts about the behaviour and well-being of attributees and that these facts also constitute the nature of beliefs and desires. (shrink)

Michael T. Stuart (2021 and 2022) has proposed imagination as an intellectual dual‐process virtue, consisting of imagination1 (underwritten by cognitive Type 1 processing) and imagination2 (supported by Type 2 processing). This paper investigates the consequences of taking such an account seriously. It proposes that the dual‐process view of imagination allows us to incorporate recent insights from virtue epistemology, providing a fresh perspective on how imagination can be epistemically reliable. The argument centers on the distinction between General Reliability (GR) and Functional (...) System Reliability (FSR), for example in relation to Kengo Miyazono and Uko Tooming's (2023) argument for epistemic generativity. Furthermore, the paper claims that the dual‐process virtue account enables us to integrate a wide range of findings from the literature on epistemology and imagination. Moreover, it suggests a novel way to distinguish the virtues of creativity and imagination and presents a case for viewing imagination as a virtue rather than a skill. (shrink)