Interactions between humans and machines that include artificial intelligence are increasingly common in nearly all areas of life. Meanwhile, AI-products are increasingly endowed with emotional characteristics. That is, they are designed and trained to elicit emotions in humans, to recognize human emotions and, sometimes, to simulate emotions (EAI). The introduction of such systems in our lives is met with some criticism. There is a rather strong intuition that there is something wrong about getting attached to a machine, about having certain (...) emotions towards it, and about getting involved in a kind of affective relationship with it. In this paper, I want to tackle these worries by focusing on the last aspect: in what sense could it be problematic or even wrong to establish an emotional relationship with EAI-systems? I want to show that the justifications for the widespread intuition concerning the problems are not as strong as they seem at first sight. To do so, I discuss three arguments: the argument from self-deception, the argument from lack of mutuality, and the argument from moral negligence. (shrink)

Whether collective agency is a coherent concept depends on the theory of agency that we choose to adopt. We argue that the enactive theory of agency developed by Barandiaran, Di Paolo and Rohde (2009) provides a principled way of grounding agency in biological organisms. However the importance of biological embodiment for the enactive approach might lead one to be skeptical as to whether artificial systems or collectives of individuals could instantiate genuine agency. To explore this issue we contrast the concept (...) of collective agency with multi-agent systems and multi-system agents, and argue that genuinely collective agents instantiate agency at both the collective level and at the level of the component parts. Developing the enactive model, we propose understanding agency – both at the level of the individual and of the collective – as spectra that are constituted by dimensions that vary across time. Finally, we consider whether collectives that are not merely metaphorically ‘agents’ but rather are genuinely agentive also instantiate subjectivity at the collective level. We propose that investigations using the perceptual crossing paradigm suggest that a shared lived perspective can indeed emerge but this should not be conflated with a collective first-person perspective, for which material integration in a living body may be required. (shrink)

This paper discuss the phenomenon of empathy in social robotics and is divided into three main parts. Initially, I analyse whether it is correct to use this concept to study and describe people’s reactions to robots. I present arguments in favour of the position that people actually do empathise with robots. I also consider what circumstances shape human empathy with these entities. I propose that two basic classes of such factors be distinguished: biological and socio-cognitive. In my opinion, one of (...) the most important among them is a sense of group membership with robots, as it modulates the empathic responses to representatives of our- and other- groups. The sense of group membership with robots may be co-shaped by socio-cognitive factors such as one’s experience, familiarity with the robot and its history, motivation, accepted ontology, stereotypes or language. Finally, I argue in favour of the formulation of a pragmatic and normative framework for manipulations in the level of empathy in human–robot interactions. (shrink)

How do we enter into empathic relations with inanimate objects? Do we indirectly infer that they possess mental states, or directly perceive them as mental things? In recent years these questions have been addressed by a number of authors. Some argue in favor of an indirect approach that involves mediatory procedures; others defend a direct approach that postulates no intermediate. In this paper I argue on the side of the latter. I show that Simulation Theory, one of the most elaborated (...) versions of the indirect approach, does not have the capacity to account for our empathy with IO. Investigating ST paves the way for criticizing a special kind of indirect theory, namely Imaginative Perception, which is tailored specifically to fit the problem. Both of these indirect theories face more or less similar problems. Motor Imagining is another indirect approach that must be considered, but in spite of its capacity to overcome some of the aforementioned problems, it suffers from over-inclusiveness. In contrast with these indirect approaches, I develop a phenomenologically inspired framework for empathy, according to which the scope of objects with which we can enter into empathic relations is broadened to include IO. I argue that this direct framework is a more promising way of addressing the problem of empathic engagement with IO. (shrink)

When people interact with novel technologies (e.g., robots, novel technological tools), the word “creepy” regularly pops up. We define creepy situations as ambiguous situations involving uneasy feelings as eliciting uneasy feelings and involving ambiguity (e.g., on how the behave or how to judge the situation). A common metric for creepiness would help evaluating creepiness of situations and developing adequate interventions against creepiness. Following psychometrical guidelines, we developed the Creepiness of Situation Scale (CRoSS) across four studies with a total of N (...) = 882 American and German participants. In Studies 1-3, participants watched a video of a creepy situation involving technology. Study 1 used exploratory factor analysis in an American sample and showed that creepiness consists of emotional creepiness and creepy ambiguity. In a German sample, Study 2 confirmed these subdimensions. Study 3 supported validity of the CRoSS as creepiness correlated positively with privacy concerns and computer anxiety, but negatively with controllability and transparency. Study 4 used the scale in a 2 (male vs. female experimenter) x 2 (male vs. female participant) x 2 (day vs. night) field study to demonstrate its usefulness for non-technological settings and its sensitivity to theory-based predictions. Results indicate that participants contacted by an experimenter at night-time reported higher feelings of creepiness. Overall, these studies suggest that the CRoSS is a psychometrically sound measure for research and practice. (shrink)

Following up on Thomas Nagel’s paper “What is it like to be a bat?” and Alan Turing’s essay “Computing machinery and intelligence,” it shall be claimed that a successful interaction of human beings and autonomous artificial agents depends more on which characteristics human beings ascribe to the agent than on whether the agent really has those characteristics. It will be argued that Masahiro Mori’s concept of the “uncanny valley” as well as evidence from several empirical studies supports that assertion. Finally, (...) some tentative conclusions concerning moral implications of the arguments presented here shall be drawn. (shrink)

Empirical research on human–robot interaction has demonstrated how humans tend to react to social robots with empathic responses and moral behavior. How should we ethically evaluate such responses to robots? Are people wrong to treat non-sentient artefacts as moral patients since this rests on anthropomorphism and ‘over-identification’ —or correct since spontaneous moral intuition and behavior toward nonhumans is indicative for moral patienthood, such that social robots become our ‘Others’?. In this research paper, I weave extant HRI studies that demonstrate empathic (...) responses toward robots with the recent debate on moral status for robots, on which the ethical evaluation of moral behavior toward them is dependent. Patienthood for robots has standardly been thought to obtain on some intrinsic ground, such as being sentient, conscious, or having interest. But since these attempts neglect moral experience and are curbed by epistemic difficulties, I take inspiration from Coeckelbergh and Gunkel’s ‘relational approach’ to explore an alternative way of accounting for robot patienthood based on extrinsic premises. Based on the ethics of Danish theologian K. E. Løgstrup I argue that empathic responses can be interpreted as sovereign expressions of life and that these expressions benefit human subjects—even if they emerge from social interaction afforded by robots we have anthropomorphized. I ultimately develop an argument in defense of treating robots as moral patients. (shrink)

Expanding the debate about empathy with human beings, animals, or fictional characters to include human-robot relationships, this paper proposes two different perspectives from which to assess the scope and limits of empathy with robots: the first is epistemological, while the second is normative. The epistemological approach helps us to clarify whether we can empathize with artificial intelligence or, more precisely, with social robots. The main puzzle here concerns, among other things, exactly what it is that we empathize with if robots (...) do not have emotions or beliefs, since they do not have a consciousness in an elaborate sense. However, by comparing robots with fictional characters, the paper shows that we can still empathize with robots and that many of the existing accounts of empathy and mindreading are compatible with such a view. By so doing, the paper focuses on the significance of perspective-taking and claims that we also ascribe to robots something like a perspectival experience. The normative approach examines the moral impact of empathizing with robots. In this regard, the paper critically discusses three possible responses: strategic, anti-barbarizational, and pragmatist. The latter position is defended by stressing that we are increasingly compelled to interact with robots in a shared world and that to take robots into our moral consideration should be seen as an integral part of our self- and other-understanding. (shrink)

It can be creepy to notice that something human-looking is not real. But can sensitivity to this phenomenon, known as the uncanny valley, be predicted from superficially unrelated traits? Based on results from at least 489 participants, this study examines the relation between nine theoretically motivated trait indices and uncanny valley sensitivity, operationalized as increased eerie ratings and decreased warmth ratings for androids presented in videos. Animal Reminder Sensitivity, Neuroticism, its Anxiety facet, and Religious Fundamentalism significantly predicted uncanny valley sensitivity. (...) In addition, Concern over Mistakes and Personal Distress significantly predicted android eerie ratings but not warmth. The structural equation model indicated that Religious Fundamentalism operates indirectly, through robot-related attitudes, to heighten uncanny valley sensitivity, while Animal Reminder Sensitivity increases eerie ratings directly. These results suggest that the uncanny valley phenomenon may operate through both sociocultural constructions and biological adaptations for threat avoidance, such as the fear and disgust systems. Trait indices that predict uncanny valley sensitivity warrant investigation by experimental methods to explicate the processes underlying the uncanny valley phenomenon. (shrink)

The discussion around artificial empathy and its ethics is not a new one. This concept can be found in classic science fiction media such as Star Trek and Blade Runner and is also pondered on in more recent interactive media such as the video game Detroit: Become Human. In most depictions, emotions and empathy are presented as the key to being human. Misselhorn's new publication shows that these futuristic stories are becoming more and more relevant today. We must ask ourselves (...) whether we are socially responsible enough to deal with the consequences of artificial empathy/awareness. If we create artificial life, we should be prepared to treat them accordingly as living beings with respect and no longer categorize them as objects. The author does not rule out the idea that machines might one day become more human than humans themselves and that we humans might even lose our own specific cognitive, emotional and social abilities. (shrink)

Summary The term empathy has become a linguistic commonplace in everyday communication as well as in interdisciplinary research. The results of the research questions, raised in the last hundred (and more) years, coming from different areas, such as aesthetics, psychology, neurosciences and literary theory, lack in fact a clear concept of empathy. Not surprisingly, a recent paper has identified up to 43 distinct definitions of empathy in academic publications. By reconstructing the main research lines on empathy, our paper highlights the (...) reasons for this conceptual inadequacy and the deficiencies in the theorization of empathy that create misleading interpretations thereof. Along the line connecting Plato’s insights on empathic experiences to the present neuroscientific experiments, a broad spectrum of issues is deployed for which “empathy” functions as an umbrella term covering a net of categorical relationships – projection, transfer, association, expression, animation, anthropomorphization, vivification, fusion, and sympathy – that only partially overlap. Our paper therefore recommends that “empathy” should not be assumed as a self-evident notion but instead preliminarily clarified in its definition every time we decide to have recourse to it. (shrink)

Given that empathy allows people to form and maintain satisfying social relationships with other subjects, it is no surprise that this is one of the most studied phenomena in the area of human–robot interaction (HRI). But the fact that the term ‘empathy’ has strong social connotations raises a question: can it be applied to robots? Can we actually use social terms and explanations in relation to these inanimate machines? In this article, I analyse the range of uses of the term (...) empathy in the field of HRI studies and social robotics, and consider the substantial, functional and relational positions on this issue. I focus on the relational (cooperational) perspective presented by Luisa Damiano and Paul Dumouchel, who interpret emotions (together with empathy) as being the result of affective coordination. I also reflect on the criteria that should be used to determine when, in such relations, we are dealing with actual empathy. (shrink)