Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it. As such, whether we soothe or flame an emotion is not inconsequential. Recent work in conversational AI has focused on responding empathetically to users, validating and soothing their emotions without a real basis. This AI-aided emotional regulation can have negative consequences for users and society, tending towards a one-noted happiness defined as only the absence (...) of "negative" emotions. We argue that we must carefully consider whether and how to respond to users' emotions. (shrink)

Limits need to be set on AI’s ability to simulate human feelings. Ensuring that chatbots don’t use emotive language, including emojis, would be a good start. Emojis are particularly manipulative. Humans instinctively respond to shapes that look like faces — even cartoonish or schematic ones — and emojis can induce these reactions.

This paper argues that the emotional cues exhibited by AI systems designed for social interaction may lead human users to hold misplaced trust in such AI systems, and this poses a substantial problem for human-AI relationships. It begins by discussing the communicative role of certain emotions relevant to perceived trustworthiness. Since displaying such emotions is a reliable indicator of trustworthiness in humans, we use such emotions to assess agents’ trustworthiness according to certain generalizations of folk psychology. Our (...) tendency to engage in anthropomorphism with artificial agents that display these communicative emotions may mislead us into trusting them, even when such trust is misplaced. This phenomenon is referred to as the Emotions-Trustworthiness Gap. This paper demonstrates this general concept with compassion and guilt. In both cases, we may be tempted to judge that AI systems' mere mimicking of relevant emotions constitutes evidence for their trustworthiness. However, most current AI systems are not trustworthy on any major view of trustworthy AI. Thus, the trust elicited from human users will be misplaced. This tendency of human users to hold misplaced trust in their AI companions leaves them vulnerable to serious harm. Several potential solutions to the Emotions-Trustworthiness Gap are discussed. (shrink)

One relatively neglected challenge in ethical artificial intelligence (AI) design is ensuring that AI systems invite a degree of emotional and moral concern appropriate to their moral standing. Although experts generally agree that current AI chatbots are not sentient to any meaningful degree, these systems can already provoke substantial attachment and sometimes intense emotional responses in users. Furthermore, rapid advances in AI technology could soon create AIs of plausibly debatable sentience and moral standing, at least by some relevant definitions. Morally (...) confusing AI systems create unfortunate ethical dilemmas for the owners and users of those systems, since it is unclear how those systems ethically should be treated. I argue here that, to the extent possible, we should avoid creating AI systems whose sentience or moral standing is unclear and that AI systems should be designed so as to invite appropriate emotional responses in ordinary users. (shrink)

Is it sensical to ascribe psychological predicates to AI systems like chatbots based on large language models (LLMs)? People have intuitively started ascribing emotions or consciousness to social AI (‘affective artificial agents’), with consequences that range from love to suicide. The philosophical question of whether such ascriptions are warranted is thus very relevant. This paper advances the argument that LLMs instantiate language users in Ludwig Wittgenstein’s sense but that ascribing psychological predicates to these systems remains a functionalist temptation. Social (...) AIs are not full-blown language users, but rather more like Italo Calvino’s literature machines. The ideas of LLMs as Wittgensteinian language users and Calvino’s literature-producing writing machine are combined. This sheds light on the misguided functionalist temptation inherent in moving from equating the two to the ascription of psychological predicates to social AI. Finally, the framework of mortal computation is used to show that social AIs lack the basic autopoiesis needed for narrative façons de parler and their role in the sensemaking of human (inter)action. Such psychological predicate ascriptions could make sense: the transition ‘from quantity to quality’ can take place, but its route lies somewhere between life and death, not between affective artifacts and emotion approximation by literature machines. (shrink)

Human emotional expressions can communicate the emotional state of the expresser, but they can also communicate appeals to perceivers. For example, sadness expressions such as crying request perceivers to aid and support, and anger expressions such as shouting urge perceivers to back off. Some contemporary artificial intelligence (AI) systems can mimic human emotional expressions in a (more or less) realistic way, and they are progressively being integrated into our daily lives. How should we respond to them? Do we have reasons (...) to reply to the appeals made by AI emotional expressions? In this paper, we examine the conditions under which AI emotional expressions could give us prudential or even moral reasons to change our behavior. We argue that these conditions do not depend on whether the emotional expression is genuine or not, but rather on the presence of features some of which can be implemented in emotive AI given our current level of technological development. We extract recommendations and warnings for the development of emotive AI. (shrink)

In this paper, my aim is to bring together contemporary psychological literature on emotion regulation and the classical sentimentalism of David Hume and Adam Smith to arrive at a plausible account of empathy's role in explaining patterns of moral judgment. Along the way, I criticize related arguments by Michael Slote, Jesse Prinz, and others.

This article poses a simple question: can AI lie? In response to this question, the article examines, as its point of inquiry, popular AI chatbots, such as, ChatGPT. In doing so, an examination of the psychoanalytic, philosophical, and technological significance of AI and its complexities are located in relation to the dynamics of truth, falsity, and deception. That is, by critically exploring the chatbot’s capacity to engage in natural language conversations and deliver contextually relevant responses, it is argued that what (...) distinguishes the AI chatbot from anthropocentric discussions, which suggest a form of conscious awareness in AI, is the importance of the lie—an importance which a psychoanalytic approach can reveal. Indeed, while AI technologies undoubtedly blur the line between lies and truth-speaking, in the case of the AI chatbot, it is detailed how such technology remains unable to lie authentically; or, in other words, is unable to lie like a human. For psychoanalysis, the capacity to lie bears witness to the unconscious, and, thus, plays an important role in determining the subject. It is for this reason that rather than uncritically accepting the chatbot’s authority—an authority that is easily reflected in its honest responses and frank admissions—a psychoanalytic (Lacanian) perspective can highlight the significance of the unconscious as a distorting factor in determining the subject. To help elucidate this argument, specific attention is given to introducing and applying Lacan’s subject of enunciation and subject of the enunciated. This is used to assert that what continues (for now) to set us apart from AI technology is not necessarily our ‘better knowledge’, but our capability to consciously engage in acts of falsehood that function to reveal the social nuances and significances of the lie. (shrink)

In recent years, with the advances in machine learning and neuroscience, the abundances of sensors and emotion data, computer engineers have started to endow machines with ability to detect, classify, and interact with human emotions. Emotional artificial intelligence (AI), also known as a more technical term in affective computing, is increasingly more prevalent in our daily life as it is embedded in many applications in our mobile devices as well as in physical spaces. Critically, emotional AI systems have not (...) only the ability to not passively read and classify emotions, but most also have an ability to predict and ‘nudge’ users to certain desired emotional states. Drawing from Piredda (2020)’s account, we've examined various emerging emotion-sensing technologies such as recommender algorithms, personal AI assistants, work-related emotion trackers, and emotional AI toys and robots through the lens of affective artifacts. We show how these technologies fulfill the criteria of being affective artifacts: they can influence the affective states of the users (e.g., help regulate emotions of ourselves and others), some emotion-sensing algorithms and importantly, our manipulation of these algorithms, can intersect with the maintenance and construction of our sense of self and identity. (shrink)

Exploring the relationship between humans and AI chatbots, as well as the ethical concerns surrounding their use, this paper argues that our relations with chatbots are not solely based on their function as a source of knowledge, but, rather, on the desire for the subject not to know. It is argued that, outside of the very fears and anxieties that underscore our adoption of AI, the desire not to know reveals the potential to embrace the very loss AI avers. Consequently, (...) rather than proposing a knowledge that seeks to disavow loss, we can instead recognize the potential in loss itself: an opportunity to assert and define the gap inherent to both the subject and AI we create. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that (...) provide personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. We also explore the ethical implications and challenges associated with deploying such systems, particularly regarding privacy concerns and the potential for misuse. Through extensive experiments, our model achieved an average accuracy rate of 92%, highlighting its robustness across different environments and user demographics. This research not only contributes to the growing field of affective computing but also lays the groundwork for future developments in emotionally intelligent systems. (shrink)

Religion-based AI chatbots serve religious practitioners by bringing them godly wisdom through technology. These bots reply to spiritual and worldly questions by drawing insights or citing verses from the Quran, the Bible, the Bhagavad Gita, the Torah, or other holy books. They answer religious and theological queries by claiming to offer historical contexts and providing guidance and counseling to their users. A criticism of these bots is that they may give inaccurate answers and proliferate bias by propagating homogenized versions of (...) the religions they represent. These “embodied spiritual machines” may likewise bear bias against women, their gender, and their societal roles. This paper crafts a concept intended to address this GPT issue by reimagining, modifying, and implementing a feminist approach to these chatbots. It examines the concepts and designs of these bots and how they address women-related questions. Along with the challenge of bringing gender and diversity-sensitive religious wisdom closer to the people through technology, the paper proposes a re-engineered model of a fair religion-based AI chatbot. (shrink)

In his groundbreaking work, Abstraction and Empathy, Wilhelm Worringer delved into the intricacies of various abstract and figurative artworks, contending that they evoke distinct impulses in the human audience—specifically, the urges towards abstraction and empathy. This article asserts the presence of empirical evidence supporting the extension of Worringer’s concepts beyond the realm of art appreciation to the domain of art-making. Consequently, it posits that abstraction and empathy serve as foundational principles guiding the production of both abstract and figurative art. This (...) holds particular significance in the 21st century, where artificial intelligence (AI) assumes a creative role that was absent during Worringer’s initial formulation of his theory. Thus, this paper postulates that AI inherently harbors a predisposition for the generation of abstract art, owing to its non-living and inorganic origins and functioning. (shrink)

Conversational Artificial Intelligence (CAI) systems (also known as AI “chatbots”) are among the most promising examples of the use of technology in mental health care. With already millions of users worldwide, CAI is likely to change the landscape of psychological help. Most researchers agree that existing CAIs are not “digital therapists” and using them is not a substitute for psychotherapy delivered by a human. But if they are not therapists, what are they, and what role can they play in mental (...) health care? To answer these questions, we appeal to two well-established and widely discussed concepts: cognitive and affective artifacts. Cognitive artifacts are artificial devices contributing functionally to the performance of a cognitive task. Affective artifacts are objects which have the capacity to alter subjects’ affective state. We argue that therapeutic CAIs are a kind of cognitive-affective artifacts which contribute to positive therapeutic change by (i) simulating a (quasi-)therapeutic interaction, (ii) supporting the performance of cognitive tasks, and (iii) altering the affective condition of their users. This sheds new light on why virtually all existing mental health CAIs implement principles and techniques of Cognitive Behavioral Therapy — a therapeutic orientation according to which affective change and, ultimately, positive therapeutic change is mediated by cognitive change. Simultaneously, it allows us to conceptualize better the potential and limitations of applying these technologies in therapy. (shrink)

Empathy is a topic of continuous debate in the nursing literature. Many argue that empathy is indispensable to effective nursing practice. Yet others argue that nurses should rather rely on sympathy, compassion, or consolation. However, a more troubling disagreement underlies these debates: There’s no consensus on how to define empathy. This lack of consensus is the primary obstacle to a constructive debate over the role and import of empathy in nursing practice. The solution to this problem seems obvious: Nurses need (...) to reach a consensus on the meaning and definition of empathy. But this is easier said than done. Concept analyses, for instance, reveal a profound ambiguity and heterogeneity of the concept of empathy across the nursing literature. Since the term “empathy” is used to refer to a range of perceptual, cognitive, emotional, and behavioral phenomena, the presence of a conceptual ambiguity and heterogeneity is hardly surprising. Our proposal is simple. To move forward, we need to return to the basics. We should develop the concept from the ground up. That is, we should begin by identifying and describing the most fundamental form of empathic experience. Once we identify the most fundamental form of empathy, we will be able to distinguish among the more derivative experiences and behaviors that are addressed by the same name and, ideally, determine the place of these phenomena in the field of nursing. The aim of this article is, consequently, to lay the groundwork for a more coherent concept of empathy and thereby for a more fruitful debate over the role of empathy in nursing. In Part 1, we outline the history of the concept of empathy within nursing, explain why nurses are sometimes warry of adapting concepts from other disciplines, and argue that nurses should distinguish between adapting concepts from applied disciplines and from more theoretical disciplines. In Part 2, we show that the distinction between emotional and cognitive empathy—borrowed from theoretical psychology—has been a major factor in nurses’ negative attitudes toward emotional empathy. We argue, however, that both concepts fail to capture the most fundamental form of empathy. In Part 3, we draw on and present some of the seminal studies of empathy that can be found in the work of phenomenological philosophers including Max Scheler, Edmund Husserl, and Edith Stein. In Part 4, we outline how their understanding of empathy may facilitate current debates about empathy’s role in nursing. (shrink)

Empathy is essential in story comprehension as it requires understanding of the emotions and intentions of the characters. We evaluated the sensitivity of an emotional perspective-taking task using Aesop’s Fables in relation to empathy. Participants (N = 301) were presented with 15 short fables and were asked to rate the intensity of the emotions they would feel (anger, sadness, disgust, fear, surprise, joy, trust, and anticipation) by adopting the perspective of one of the characters (offender, victim) or the (...) observer’s perspective. A data-driven approach revealed that participants’ responses were aligned with the characters’ intentions, suggesting successful emotional perspective-taking. Participants sympathized with the victim rather than the offender, demonstrating affective sharing processes. Further, participants with higher empathy scores exhibited stronger negative emotions from the victim’s perspective, independently of their level of distress. Our task was not influenced by gender effects. We suggest that the Aesop’s Fables task could provide an indirect instrument to study empathy. (shrink)

Nichols’s view of empathy (in Sentimental Rules) in light of experimental moral psychology suffers from several deficiencies: (1) It operates with an impoverished view of the altruistic emotions (empathy, sympathy, concern, compassion, etc.) as mere short-term, affective states of mind, lacking any essential connection to intentionality, perception, cognition, and expressiveness. (2) It fails to keep in focus the moral distinction between two very different kinds of emotional response to the distress and suffering of others—other-directed, altruistic, emotions that have (...) moral value, and self-directed emotional responses, such as personal distress, that do not. (3) Nichols is correct to see morality as requiring affectivity, and the capability of emotional response to others; but his incorrect view of altruistic emotions (and of emotions in general) leads him to misstate the connection between morality and emotion. (4) Nichols’s specific attempt to ground moral judgment in emotion fails, but the argument he provides for it is part of the explanation of point (2), his failure to sustain the distinction between egoistic and altruistic emotions. (5) Without in any way denying that moral philosophy is strengthened by knowledge of empirical psychology, I suggest that the foregoing failures of Nichols’s argument are partly due to his misuse of particular empirical results and findings, and possibly in part to a weakened commitment to the distinctive contribution the humanistic methods of philosophy make to our understanding of the moral dimension of life. (shrink)

AI, in the form of artificial carers, provides a possible solution to the problem of a growing elderly population Yet, concerns remain that artificial carers ( such as care-or chat-bots) could not emphathize with patients to the extent that humans can. Utilising the concept of empathy perception,we propose a Turing-type test that could check whether artificial carers could do many of the menial tasks human carers currently undertake, and in the process, free up more time for doctors to offer empathy. (...) -/- . (shrink)

This paper explores the ways in which Cordwainer Smith’s short story “Under Old Earth” problematizes emotions, who/what has them, and who/what is granted moral status. Most importantly, however, “Under Old Earth” questions the primacy of happiness in human society, especially where happiness is understood as the absence of other (negative) emotions. As such, “Under Old Earth” challenges the notion, widely held in contemporary ethics, that our moral obligation to one another is mediated through the goal of the attainment (...) of happiness. Through this challenge, Smith’s short story speaks directly to the current understanding of emotion in the field of AI, and complicates what the goal of affective computing should be. (shrink)

It is tempting to assume that being a moral creature requires the capacity to attribute mental states to others, because a creature cannot be moral unless she is capable of comprehending how her actions can have an impact on the well-being of those around her. If this assumption were true, then mere behaviour readers could never qualify as moral, for they are incapable of conceptualising mental states and attributing them to others. In this paper, I argue against such an assumption (...) by discussing the specific case of empathy. I present a characterisation of empathy that would not require an ability to attribute mental states to others, but would nevertheless allow the creature who possessed it to qualify as a moral being. Provided certain conditions are met, a behaviour reader could be motivated to act by this form of empathy, and this means that behaviour readers could be moral. The case for animal morality, I shall argue, is therefore independent of the case for animal mindreading. (shrink)

Psychopaths exhibit diminished ability to grieve. Here I address whether this inability can be explained by the trademark feature of psychopaths, namely, their diminished capacity for interpersonal empathy. I argue that this hypothesis turns out to be correct, but requires that we conceptualize empathy not merely as an ability to relate (emotionally and ethically) to other individuals but also as an ability to relate to past and present iterations of ourselves. This reconceptualization accords well with evidence regarding psychopaths’ intense focus (...) on the temporal present and difficulties in engaging in mental time travel, as well as with the essentially egocentric and identity-based nature of grief. -/- . (shrink)

A recent version of the view that aesthetic experience is based in empathy as inner imitation explains aesthetic experience as the automatic simulation of actions, emotions, and bodily sensations depicted in an artwork by motor neurons in the brain. Criticizing the simulation theory for committing to an erroneous concept of empathy and failing to distinguish regular from aesthetic experiences of art, I advance an alternative, dynamic approach and claim that aesthetic experience is enacted and skillful, based in the recognition (...) of others’ experiences as distinct from one’s own. In combining insights from mainly psychology, phenomenology, and cognitive science, the dynamic approach aims to explain the emergence of aesthetic experience in terms of the reciprocal interaction between viewer and artwork. I argue that aesthetic experience emerges by participatory sense-making and revolves around movement as a means for creating meaning. While entrainment merely plays a preparatory part in this, aesthetic engagement constitutes the phenomenological side of coupling to an artwork and provides the context for exploration, and eventually for moving, seeing, and feeling with art. I submit that aesthetic experience emerges from bodily and emotional engagement with works of art via the complementary processes of the perception–action and motion–emotion loops. The former involves the embodied visual exploration of an artwork in physical space, and progressively structures and organizes visual experience by way of perceptual feedback from body movements made in response to the artwork. The latter concerns the movement qualities and shapes of implicit and explicit bodily responses to an artwork that cue emotion and thereby modulate over-all affect and attitude. The two processes cause the viewer to bodily and emotionally move with and be moved by individual works of art, and consequently to recognize another psychological orientation than her own, which explains how art can cause feelings of insight or awe and disclose aspects of life that are unfamiliar or novel to the viewer. (shrink)

The paper discusses kinaesthetic empathy based on the German philosopher Edith Stein’s theory of empathy. Applying Stein’s study of empathy, this paper examines empathy as a particular form of the act of knowing. Instead of a mere emotion, empathy entails a re-living or a placing ourselves ‘inside’ another’s experience. We may grasp another’s living, moving body as another centre orientation of the world through our own kinaesthetic sense and body topography. Kinaesthetic empathy seems to have a partial capacity to make (...) sense of others’ experiential movements and reciprocally our own bodily movements. It makes possible to understand the non-verbal kinetic experiences through which we may acquire knowledge of the other’s bodily movements on the basis of our own body topography. There is recognition that we never reach the other’s primordial movement experience. (shrink)

The nature and consequences of readers’ affective engagement with literature has, in recent years, captured the attention of experimental psychologists and philosophers alike. Psychological studies have focused principally on the causal mechanisms explaining our affective interactions with fictions, prescinding from questions concerning their rational justifiability. Transportation Theory, for instance, has sought to map out the mechanisms the reader tracks the narrative experientially, mirroring its descriptions through first-personal perceptual imaginings, affective and motor responses and even evaluative beliefs. Analytical philosophers, by contrast, (...) have largely focussed on the problems fiction poses for traditional theories of rationality (as in the ‘Paradox of Fiction), challenging fiction’s wider epistemic value. The result has been a theoretical impasse in which the power of fiction to affectively ‘transport’ a reader is at once often lauded (by psychologists) as a privileged route to interpersonal understanding, and condemned (by philosophers) as an abdication of the authority of reason. This chapter surveys some of the central claims on both sides, tracing the source of the debate to competing conceptions of rationality. (shrink)

The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the current article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics, and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic (...) nature of this influence. The author considers various approaches to the definition of artificial intelligence and robotics, focusing on the subject-oriented and functional ones. It also compares AI&R abilities and human abilities in areas such as categorization, pattern recognition, planning and decision making, etc. Based on this comparison, we investigate in which areas AI&R’s performance is inferior to a human, and in which cases it is superior to one. The modern achievements in the field of robotics and artificial intelligence create the necessary basis for further discussion of the applicability of goal setting in engineering, in the form of a Turing test. It is shown that development of AI&R is associated with certain contradictions that impede the application of Turing’s methodology in its usual format. The basic contradictions in the development of AI&R technologies imply that there is to be a transition to a post-Turing methodology for assessing engineering implementations of artificial intelligence and robotics. In such implementations, on the one hand, the ‘Turing wall’ is removed, and on the other hand, artificial intelligence gets its physical implementation. (shrink)

The objective of this article is to review extant empirical studies of empathy in narrative reading in light of (i) contemporary literary theory, and (ii) neuroscientific studies of empathy, and to discuss how a closer interplay between neuroscience and literary studies may enhance our understanding of empathy in narrative reading. An introduction to some of the philosophical roots of empathy is followed by tracing its application in contemporary literary theory, in which scholars have pursued empathy with varying degrees of conceptual (...) precision, often within the context of embodied/enactive cognition. The presentation of empirical literary studies of empathy is subsequently contextualized by an overview of psychological and neuroscientific aspects of empathy. Highlighting points of convergence and divergence, the discussion illustrates how findings of empirical literary studies align with recent neuroscientific research. The article concludes with some prospects for future empirical research, suggesting that digitization may contribute to advancing the scientific knowledge of empathy in narrative reading. (shrink)

Several quantitative studies (e.g. Kidd & Castano, 2013a; Djikic et al., 2013) have shown a positive correlation between literary reading and empathy. However, the literary nature of the stimuli used in these studies has not been defined at a more detailed, stylistic level. In order to explore the stylistic underpinnings of the hypothesized link between literariness and empathy, we conducted a qualitative experiment in which the degree of stylistic foregrounding was manipulated. Subjects (N = 37) read versions of Katherine Mansfield's (...) 'The Fly', a short story rich in foregrounding, while marking striking and evocative passages of their choosing. Afterwards, they were asked to select three markings and elaborate on their experiences in writing. One group read the original story, while the other read a 'non-literary' version, produced by an established author of suspense fiction for young adults, where stylistic foregrounding was reduced. We found that the non-literary version elicited significantly more (p < 0.05) explicitly empathic responses than the original story. This finding stands in contradiction to widely accepted assumptions in recent research, but can be assimilated in alternative models of literariness and affect in literary reading (e.g. Cupchik et al., 1998). We present an analysis of the data with a view to offering more than one interpretation of the observed effects of stylistic foregrounding. (shrink)

In this essay, I want to explore the possibility that the success of narrative in stimulating empathy comes from the relation that narrative bears to emotion—where emotion is a kind of proto-narrative that possibly accounts for the structure and range of narratives themselves —and that our familiarity with emotions as micro-narratives results in the motivation of narrative. That is, the resolution of events occurs in terms of feeling rather than other forms of closure, since other forms of closure represent (...) literal endings as, quite simply, the cessation of events whereas emotion achieves its end by being felt or translated in empathetic terms and in ways that endure beyond the formality of the fictive event that ends the narrative. I will be using Kim Scott’s Benang: From the Heart (1999) and Peter Carey’s Jack Maggs (1997) to discuss narrative and emotions, or the role of emotion in motivating narrative events and the role of narrative in conveying and stirring emotion in the reader. (shrink)

There is a long tradition in philosophy and literary theory defending the view that engagement with literature promotes readers’ empathy. Until the last century, few of the empirical claims adduced in that tradition were investigated experimentally. Recent work in psychology and neuropsychology has now shed new light on the interplay of empathy and literature. This article surveys the experimental findings, addressing three central questions: What is it to read empathically? Does reading make us more empathic? What characteristics of literature, if (...) any, affect readers’ empathy? While experimental studies have delivered no conclusive answers to these questions, it has exposed their psychological complexity and constructed a more nuanced picture of the diverse ways in which literature interacts with our empathic capacities. (shrink)

Chatbots powered by large language models (LLMs) are increasingly capable of engaging in what seems like natural conversations with humans. This raises the question of whether we should interact with these chatbots in a morally considerate manner. In this chapter, we examine how to answer this question from within the normative framework of virtue ethics. In the literature, two kinds of virtue ethics arguments, the moral cultivation and the moral character argument, have been advanced to argue that we should afford (...) moral treatment to social robots. However, we propose a moral character argument against the view that we should afford moral treatment to LLM-based chatbots drawing on the notion of practical wisdom. Practical wisdom in this context consists in the skill to discern genuine and artificial sociality. Drawing on ideas from phenomenological philosophy, we argue that this involves the ability to distance oneself from direct social perception and the ability to widen one’s awareness over one’s apparently social interactions. We conclude by suggesting that this skill is a kind of technomoral wisdom required to live well with advanced, social AI systems. (shrink)

Dieser Beitrag handelt von der Empathie in der Kunst. Ich beginne mit einer Reflexion über die Ursprünge des Begriffes und seine Verwendung in der Ästhetik. Es folgt eine Analyse der Empathie im Vergleich zu anderen Formen der Anteilnahme an Kunstwerken. Im dritten Teil untersuche ich die Mechanismen der Empathie in der Kunst und die Funktion der Imagination. Der vierte Teil widmet sich der Bedeutung der Gefühle bei der Empathie für Kunstfiguren. Schließlich thematisiere ich den epistemischen, moralischen und ästhetischen Wert der (...) Empathie für die Kunst. (shrink)

Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods. In this paper, we conduct a thorough review of 154 relevant NLP publications from the last decade. Based on this review, we address four different questions: (1) How are EA tasks defined in NLP? (2) What are the most prominent emotion frameworks and which emotions are modeled? (3) (...) Is the subjectivity of emotions considered in terms of demographics and cultural factors? and (4) What are the primary NLP applications for EA? We take stock of trends in EA and tasks, emotion frameworks used, existing datasets, methods, and applications. We then discuss four lacunae: (1) the absence of demographic and cultural aspects does not account for the variation in how emotions are perceived, but instead assumes they are universally experienced in the same manner; (2) the poor fit of emotion categories from the two main emotion theories to the task; (3) the lack of standardized EA terminology hinders gap identification, comparison, and future goals; and (4) the absence of interdisciplinary research isolates EA from insights in other fields. Our work will enable more focused research into EA and a more holistic approach to modeling emotions in NLP. (shrink)

The history of humankind is full of examples that indicate a constant desire to make human beings more moral. Nowadays, technological breakthroughs might have a significant impact on our moral character and abilities. This is the case of Virtual Reality (VR) technologies. The aim of this paper is to consider the ethical aspects of the use of VR in enhancing empathy. First, we will offer an introduction to VR, explaining its fundamental features, devices and concepts. Then, we will approach the (...) characterization of VR as an “empathy machine,” showing why this medium has aroused so much interest and why, nevertheless, we do not believe it is the ideal way to enhance empathy. As an alternative, we will consider fostering empathy-related abilities through virtual embodiment in avatars. In the conclusion, however, we will, we will examine some of the serious concerns related to the ethical relevance of empathy and will defend the philosophical case for a reason-guided empathy, also suggesting specific guidelines for possible future developments of empathy enhancement projects through VR embodied experiences. (shrink)

A prevailing view in moral psychology holds that empathy and sympathy play key roles in morality and in prosocial and altruistic actions. Recently, Jesse Prinz (2011a, 2011b) has challenged this view and has argued that empathy does not play a foundational or causal role in morality. He suggests that in fact the presence of empathetic emotions is harmful to morality. Prinz rejects all theories that connect empathy and morality as a constitutional, epistemological, developmental, motivational, or normative necessity. I consider (...) two of Prinz’s theses: the thesis that empathy is not necessary for moral development, and the thesis that empathy should be avoided as a guide for morality. Based on recent research in moral psychology, I argue that empathy plays a crucial role in development of moral agency. I also argue that empathy is desirable as a moral emotion. (shrink)

Today, many philosophers write on topics of contemporary interest, such as emerging technologies, scientific advancements, or major political events. However, many of these reflections, while philosophically valuable, fail to contribute to those who may benefit the most from them. In this article, we discuss our own experience of engaging with nursing researchers and practicing nurses. By drawing on the field of philosophical phenomenology, we intervene in a longstanding debate over the meaning of “empathy” in nursing, which has important implications for (...) nursing research, training, and practice. However, our intention is not only to introduce and discuss this philosophical intervention. Rather, we present this intervention as a model for how philosophers might successfully engage with the field of nursing, and perhaps with other fields as well, with the aim of effecting positive change in research or practice. The article proceeds in five parts. First, we introduce the problem of conceptual clarity in nursing and explain why many nursing concepts are still in need of refinement. Second, we discuss the origins of the concept of empathy in nursing and outline the challenges associated with borrowing theory from other fields. Third, we explain how nurses tend to conceptualize empathy today, drawing upon the psychological distinction between cognitive and emotional empathy. Fourth, we discuss our intervention in this debate and explain how we attempt to resolve existing conceptual confusions by developing the concept of empathy from the ground up. Fifth, we conclude by briefly reflecting upon some of the challenges of interdisciplinary engagement and providing some recommendations based upon our own experience. (shrink)

This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the White racial frame. First, we examine the extent to which this (...) Whiteness might simply reflect the predominantly White milieus from which these artefacts arise. Second, we argue that to imagine machines that are intelligent, professional, or powerful is to imagine White machines because the White racial frame ascribes these attributes predominantly to White people. Third, we argue that AI racialised as White allows for a full erasure of people of colour from the White utopian imaginary. Finally, we examine potential consequences of the racialisation of AI, arguing it could exacerbate bias and misdirect concern. (shrink)

Purpose: The aim of this study is to examine how the integration of Emotional Intelligence (EI) and Artificial Intelligence (AI) in leadership can enhance leadership effectiveness and influence the development of future leaders. -/- Design / Method / Approach: The research employs a mixed-methods approach, combining qualitative and quantitative analyses. The study utilizes secondary data sources, including scholarly articles, industry reports, and empirical studies, to analyze the interaction between EI and AI in leadership settings. -/- Findings: The findings reveal that (...) the integration of EI and AI significantly improves decision-making, strategic planning, talent management, and communication within organizations. Leaders who leverage both EI and AI experience higher employee satisfaction, improved team performance, and enhanced organizational outcomes. -/- Theoretical Implications: This study contributes to leadership theory by introducing a novel framework that demonstrates the complementary roles of EI and AI in leadership. -/- Practical Implications: The research offers practical guidelines for leadership development, emphasizing the need for future leaders to integrate EI and AI skills in order to navigate complex business environments successfully. -/- Originality / Value: The paper provides an original framework for the integration of EI and AI in leadership, offering new insights into how these two elements can work together to improve leadership effectiveness. -/- Research Limitations / Future Research: Future research should further explore the empirical impact of EI and AI integration in various industries and leadership levels to generalize findings across broader contexts. -/- Paper Type: Conceptual -/- . (shrink)

The psychological contract refers to the implicit and subjective beliefs regarding a reciprocal exchange agreement, predominantly examined between employees and employers. While contemporary contract research is investigating a wider range of exchanges employees may hold, such as with team members and clients, it remains silent on a rapidly emerging form of workplace relationship: employees’ increasing engagement with technically, socially, and emotionally sophisticated forms of artificially intelligent (AI) technologies. In this paper we examine social robots (also termed humanoid robots) as likely (...) future psychological contract partners for human employees, given these entities transform notions of workplace technology from being a tool to being an active partner. We first overview the increasing role of robots in the workplace, particularly through the advent of sociable AI, and synthesize the literature on human–robot interaction. We then develop an account of a human-social robot psychological contract and zoom in on the implications of this exchange for the enactment of reciprocity. Given the future focused nature of our work we utilize a thought experiment, a commonly used form of conceptual and mental model reasoning, to expand on our theorizing. We then outline potential implications of human-social robot psychological contracts and offer a range of pathways for future research. (shrink)

The problem considered in this chapter emerges from the tension we find when looking at the design and architecture of chatbots on the one hand and their conversational aptitude on the other. In the way that LLM chatbots are designed and built, we have good reason to suppose they don't possess second-order capacities such as intention, belief or knowledge. Yet theories of conversation make great use of second-order capacities of speakers and their audiences to explain how aspects of interaction succeed. (...) As we can all bear witness to now though, at the point of use chatbots appear capable of performing language tasks at a level close to that of humans. This creates a tension when we consider something like, for example, the classic Gricean theory of implicature. On a broad summary of this type of account, to utter p and implicate q requires the reflexive occurrence of an audience supposing a speaker believes that q, and the speaker believing that their audience can determine they believe it when they utter p. So taken at face value, if a chatbot doesn’t have the capacity for belief, then either in their role as speaker or audience, they would not seem capable of either generating or comprehending implicatures. Yet on the surface it does seem that chatbots are capable of dealing with (some) implicatures, and as such it raises questions about how we should then correlate this with what we think occurs in cases of implicature with chatbots. (shrink)

Introduction: Traditionally, empathy has been studied from two main perspectives: the theory-theory approach and the simulation theory approach. These theories claim that social emotions are fundamentally constituted by mind states in the brain. In contrast, classical phenomenology and recent research based on enactive theories consider empathy as the basic process of contacting others’ emotional experiences through direct bodily perception and sensation. Objective: This study aims to enrich knowledge of the empathic experience of pain by using an experimental phenomenological method. (...) Method: Implementing an experimental paradigm used in affective neuroscience, we exposed 28 healthy adults to a video of sportspersons suffering physical accidents while practicing extreme sports. Immediately after watching the video, each participant underwent a phenomenological interview to gather data on embodied, multi-layered dimensions (bodily sensations, emotions, and motivations) and temporal aspects of empathic experience. We also performed quantitative analyses of the phenomenological categories. Results: Experiential access to the other person’s painful experience involves four main-themes. Bodily resonance: participants felt a multiplicity of bodily, affective, and kinesthetic sensations. Attentional focus: some participants centered their attention more on their own personal discomfort and sensations of rejection, while others on the pain and suffering experienced by the sportspersons. Kinesthetic motivation: some participants experienced the feeling in their bodies to avoid or escape from watching the video, while others experienced the need to help the sportspersons avoid suffering any injury while practicing extreme sports. Temporality of experience: participants witnessed temporal fluctuations in their experiences, bringing intensity changes in their bodily resonance, attentional focus, and kinesthetic motivation. Finally, two experiential structures were found: one structure is self-centered empathic experience, characterized by bodily resonance, attentional focus centered on the participant’s own experience of seeing the sportsperson suffering, and self-protective kinesthetic motivation; the other structure is other-centered empathic experience, characterized by bodily resonance, attentional focus centered on the sportsperson, and prosocial kinesthetic motivation to help them. Discussion: We show how phenomenological data may contribute to comprehending empathy for pain in social neuroscience. In addition, we address the phenomenological aspect of the enactive approach to the three dimensions of embodiment of human consciousness, especially the intersubjective dimension. Also, based on our results, we suggest an extension of the enactive theory for non-interactive social experience. (shrink)

Large Language Models (LLMs) like ChatGPT were trained on human conversation, but in the future they will also train us. As chatbots speak from our smartphones and customer service helplines, they will become a part of everyday life and a growing share of all the conversations we ever have. It’s hard to doubt this will have some effect on us. Here I explore a specific concern about the impact of artificial conversation on our capacity to deliberate and hold ourselves accountable (...) to reason – that is, to be autonomous, in Kant’s sense of the term. I develop ideas from psychologist Jean Piaget to show how chatbots are autonomy traps: their deference to our commands tempts us into venting authoritarian whims, ultimately weakening our own self-control. I argue that the Kantian tradition, including Piaget and sociologist Emile Durkheim, offers powerful conceptual resources for resisting this slide. But it will require us to do something that may seem bizarre: we will need to treat mindless chatbots as if they are autonomous persons too. (shrink)

In artificial intelligence (AI), responses generated by machine-learning models (most often large language models) may be unfactual information presented as a fact. For example, a chatbot might state that the Mona Lisa was painted in 1815. Such phenomenon is called AI hallucinations, seeking inspiration from human psychology, with a great difference of AI ones being connected to unjustified beliefs (that is, AI “beliefs”) rather than perceptual failures). -/- AI hallucinations may have their source in the data itself, that is, the (...) source content, or in the training procedure, i.e. the way the knowledge was encoded in the model’s parameters, so that errors in encoding and decoding textual and non-textual representations can cause hallucinations. In this paper, we will observe how such errors come to life and how they might be mitigated. For this purpose, we will analyze the usability of justification logics, to behave as a proof checker for validating the correctness of large language models’ (LLM) responses. Justification logic was developed by S. Artemov, and later on mostly by Artemov and M. Fitting, deriving its main idea from the logic of proofs (LP): knowledge and belief modalities are seen as justification terms, i.e. t:X stands for t is a (proper) justification for X. Justification logic originated from attempts to create semantics for intuitionistic logic where proofs were the most proper justifications, but in further development, justification logic could be applied to different kinds of justifications). With the recent attempts to mitigate incorrect LLM responses, we will analyze various guardrails that are currently used for LLM responses, and see how the logic of justification may provide its benefits as an AI safety layer against false data. (shrink)

This essay challenges some assumptions of prevalent theories of empathy. The empathizer, according to these theories, must have an emotion or a representation that matches the recipient’s emotion or representation. I argue that these conditions fail to account for important cases, namely surrogate and out-group empathy. In the course of this argument, I isolate some conceptual difficulties in extant models of cognitive empathy. In place of the matching theories,I propose an indexical model that (1) distinguishes virtual from real self-reference and (...) (2) replaces self–other distinctions with an epistemic condition. According to this account, empathy occurs when we index an intention to another person about whom we have the relevant knowledge or understanding. (shrink)

If, as argued in some simulationist accounts, empathy aims at grasping the phenomenal richness of the other’s experience and resonating with it, it is difficult to explain our empathy with emotions that we have never experienced ourselves. According to a long philosophical tradition, imagination is constrained by experience. We have to be acquainted with the qualitative feel of the other’s experience in order to imagine it. A critical view of simulationist accounts would claim that if we cannot imagine how (...) the other feels because we are not acquainted with it, empathy cannot take place. Contrary to such criticism, this paper takes a moderately optimistic view of the simulationist claim. It develops a model to explain how we imagine the other’s emotions by drawing on phenomenal concepts, affective memories, and imaginative scaffoldings. I argue that this model can explain how we empathize with the other’s emotions regardless of whether these are familiar or novel to us. However, in the latter case, the imagined phenomenal quality is not identical but probably only similar to the other’s emotion. This similarity suffices for us to speak about empathy. (shrink)

This study examined the relationship between psychopathy and two components of empathy including a cognitive component (e.g., perspective-taking ability) and an affective component (e.g., compassion) in a community sample. The Psychopathic Personality Inventory Short Form was used to assess psychopathy and several psychological measures were used to test empathy including the Interpersonal Reactivity Index, the Diagnostic Analysis of Nonverbal Accuracy-2, and the Test of Self Conscious Affect -3. Across instruments, psychopathy (as a unitary construct) appeared to be negligibly correlated with (...) perspective-taking scales and negatively correlated with the affective components of empathy. Findings indicated that the emotional deficits were noted most prominently for the behavioral component of psychopathy. Results also showed that higher psychopathy scores in community participants were linked to higher levels of antisocial conduct. (shrink)

Our rapidly increasing reliance on frictionless AI interactions may increase cognitive and emotional distance, thereby letting our adaptive resilience slacken and our ethical virtues atrophy from disuse. Many trends already well underway involve the offloading of cognitive, emotional, and ethical labor to AI software in myriad social, civil, personal, and professional contexts. Gradually, we may lose the inclination and capacity to engage in critically reflective thought, making us more cognitively and emotionally vulnerable and thus more anxious and prone to manipulation (...) from false news, deceptive advertising, and political rhetoric. In this article, I consider the overarching features of this problem and provide a framework to help AI designers tackle it through system enhancements in smartphones and other products and services in the burgeoning internet of things (IoT) marketplace. The framework is informed by two ideas: psychologist Daniel Kahneman’s cognitive dual process theory and moral self-awareness theory, a four-level model of moral identity that I developed with Benjamin M. Cole. (shrink)

The study aims at determining the role and significance of such moral emotions as nobility, gratitude, admiration for the socially significant behavior of a person in society. That involves identifying a close relationship between those emotions and personality’s social behavior and that they can be one of the main incentives for socially significant behavior – theoretical basis. The importance of ethical emotions with positive valence when making decisions with their implementation in society determines the research’s theoretical and (...) methodological basis. Those are studied in the cognitive dimension of human social activity, considering their subjective experience and objectification. The authors determined that ethical emotions with positive valence, pleasant emotions stimulate a person to experience them again and behave socially desirable as such behavior allows reliving those emotions and self-actualizing. Emotions with a positive valence are most desirable for a person and are the essential behavior incentives in society. A person can act actively to achieve them, to experience them repeatedly, which is the basis of motivation for socially desirable and meaningful behavior. From exclusively subjective experiences, those emotions move into objectification, i.e., those motivated to act in conditions of a definite or indefinite social continuum. In due time, these socially crucial actions acquire normative content, sometimes even a form, since they serve as a model for others. Moral emotions with positive valence, empathy, rule-making, high culture, and responsibility to oneself and others form a good way of a person’s self-realization through positive social behavior. Furthermore, moral emotions with positive valence are the most important incentive for such behavior. (shrink)

According to a tradition that we hold variously today, the relational person lives most personally in affective and cognitive empathy, whereby we enter subjective communion with another person. Near future social AIs, including social robots, will give us this experience without possessing any subjectivity of their own. They will also be consumer products, designed to be subservient instruments of their users’ satisfaction. This would seem inevitable. Yet we cannot live as personal when caught between instrumentalizing apparent persons (slaveholding) or numbly (...) dismissing the apparent personalities of our instruments (mild sociopathy). This paper analyzes and proposes a step toward ameliorating this dilemma by way of the thought of a 5th century North African philosopher and theologian, Augustine of Hippo, who is among those essential in giving us our understanding of relational persons. Augustine’s semiotics, deeply intertwined with our affective life, suggest that, if we are to own persuasive social robots humanely, we must join our instinctive experience of empathy for them to an empathic acknowledgment of the real unknown relational persons whose emails, text messages, books, and bodily movements will have provided the training data for the behavior of near-future social AIs. So doing, we may see simulation as simulation (albeit persuasive), while expanding our empathy to include those whose refracted behavioral moments are the seedbed of this simulation. If we naïvely stop at the social robot as the ultimate object of our cognitive and affective empathy, we will suborn the sign to ourselves, undermining rather than sustaining a culture that prizes empathy and abhors the instrumentalization of persons. (shrink)