The revolution of artificial intelligence (AI), particularly generative AI, and its implications for human–robot interaction (HRI) opened up the debate on crucial regulatory, business, societal, and ethical considerations. This paper explores essential issues from the anthropomorphic perspective, examining the complex interplay between humans and AI models in societal and corporate contexts. We provided a comprehensive review of existing literature on HRI, with a special emphasis on the impact of generative models such as ChatGPT. The scientometric study posits that due to (...) their advanced linguistic capabilities and ability to mimic human-like behavior, generative AIs like ChatGPT will continue to grow in popularity in pair with human rational empathy, tendency for personification and their advanced linguistic capabilities and ability to mimic human-like behavior. As they blur the boundaries between humans and robots, these models introduce fresh moral and philosophical dilemmas. Our research aims to extrapolate key trends and unique factors in HRI and to elucidate the technical aspects of generative AI that enhance its effectiveness in this field compared to traditional rule-based AI systems. We further discuss the challenges and limitations of applying generative AI in HRI, providing a future research agenda for AI optimization in diverse applications, including education, entertainment, and healthcare. (shrink)

Humans often unconsciously perceive social robots involved in their lives as partners rather than mere tools, imbuing them with qualities of companionship. This anthropomorphization can lead to a spectrum of emotional risks, such as deception, disappointment, and reverse manipulation, that existing approaches struggle to address effectively. In this paper, we argue that a Virtual Interactive Environment (VIE) exists between humans and social robots, which plays a crucial role and demands necessary consideration and clarification in order to mitigate potential emotional risks. (...) By analyzing the relational nature of human-social robot interaction, we discuss the connotation of such a virtual interactive environment that is similar to the emotional states aroused when reading novels. Building on this comprehension, we further demonstrate that manufacturers should carry out comprehensive Virtual Interactive Environment Indication (VIEI) measures during human-social robot interaction with a stricter sense of responsibility when applying social robots. Finally, we contemplate the potential contributions of virtual interactive environment indication to existing robot ethics guidelines. (shrink)

How could ectogestative technology disrupt gender roles, parenting practices, and concepts such as ‘birth’, ‘body’, or ‘parent’? In this chapter, we situate this emerging technology in the context of the history of reproductive technologies and analyse the potential social and conceptual disruptions to which it could contribute. An ectogestative device, better known as ‘artificial womb’, enables the extra-uterine gestation of a human being, or mammal more generally. It is currently developed with the main goal of improving the survival chances of (...) extremely premature neonates. We argue that the intended use of the technology in neonatal intensive care units, as an alternative to current incubators (’partial-ectogestation’), challenges concepts such as ‘birth’, ‘fetus’, and ‘neonate’, and has several ethico-legal implications. We moreover address a more futuristic scenario where the entire embryological and fetal development could happen within an artificial womb (’full-ectogestation’). Such a scenario reveals the disruption of gender roles, parenting practices, and concepts such as ‘mother’, ‘father’, and ‘parent’. Both full- and partial-ectogestation would have implications for engineering and design, law-making, ethics, and philosophical anthropology. (shrink)

Advancements in artificial intelligence and (social) robotics raise pertinent questions as to how these technologies may help shape the society of the future. The main aim of the chapter is to consider the social and conceptual disruptions that might be associated with social robots, and humanoid social robots in particular. This chapter starts by comparing the concepts of robots and artificial intelligence and briefly explores the origins of these expressions. It then explains the definition of a social robot, as well (...) as the definition of humanoid robots. A key notion in this context is the idea of anthropomorphism: the human tendency to attribute human qualities, not only to our fellow human beings, but also to parts of nature and to technologies. This tendency to anthropomorphize technologies by responding to and interacting with them as if they have human qualities is one of the reasons why social robots (in particular social robots designed to look and behave like human beings) can be socially disruptive. As is explained in the chapter, while some ethics researchers believe that anthropomorphization is a mistake that can lead to various forms of deception, others — including both ethics researchers and social roboticists — believe it can be useful or fitting to treat robots in anthropomorphizing ways. The chapter explores that disagreement by, among other things, considering recent philosophical debates about whether social robots can be moral patients, that is, whether it can make sense to treat them with moral consideration. Where one stands on this issue will depend either on one’s views about whether social robots can have, imitate, or represent morally relevant properties, or on how people relate to social robots in their interactions with them. Lastly, the chapter urges that the ethics of social robots should explore intercultural perspectives, and highlights some recent research on Ubuntu ethics and social robots. (shrink)

Inspired by early proposals in philosophy, dominant accounts of language posit a central role for mutual knowledge, either encoded directly in common ground, or approximated through other cognitive mechanisms. Using existing empirical evidence from language and memory, we challenge this tradition, arguing that mutual knowledge captures only a subset of the mental states needed to support communication. In a novel theoretical proposal, we argue for a cognitive architecture that includes separate, distinct representations of the self and other, and a cognitive (...) process that compares these representations continuously during conversation, outputting both similarities and differences in perspective. Our theory accounts for existing data, interfaces with findings from other cognitive domains, and makes novel predictions about the role of perspective in language use. We term this new account the Multiple Perspectives Theory of mental states in communication. (shrink)

In this chapter, we focus on animism and how it is studied in the cognitive science of religion and cultural anthropology. We argue that philosophers of religion still use (outdated) normative notions from early scientific studies of religion that go back at least a century and that have since been abandoned in other disciplines. Our argument is programmatic: we call for an expansion of philosophy of religion in order to include traditions that are currently underrepresented. The failure of philosophy of (...) religion to discuss and accommodate different perspectives means a large part of human religious beliefs, practices, and experiences remains outside its purview. As a point of focus, we examine animism in two cultures as a way to think about what sorts of questions and ideas an expansion of philosophy of religion into lesser-explored traditions could offer. (shrink)

Social robotics aims at designing robots capable of joint interaction with humans. On a conceptual level, sufficient mutual understanding is usually said to be a necessary condition for joint interaction. Against this background, the following questions remain open: in which sense is it legitimate to speak of human–robot joint interaction? What exactly does it mean to speak of humans and robots sufficiently understanding each other to account for human–robot joint interaction? Is such joint interaction effectively possible by reference, e.g., to (...) the mere ascription or simulation of understanding? To answer these questions, we first discuss technical approaches which aim at the implementation of certain aspects of human–human communication and interaction in social robots in order to make robots accessible and understandable to humans and, hence, human–robot joint interaction possible. Second, we examine the human tendency to anthropomorphize in this context, with a view to human understanding of and joint interaction with social robots. Third, we analyze the most prominent concepts of mutual understanding and their implications for human–robot joint interaction. We conclude that it is—at least for the time being—not legitimate to speak of human–robot joint interaction, which has relevant implications both morally and ethically. (shrink)

Compared to human-operated vehicles, autonomous vehicles offer numerous potential benefits. However, public acceptance of AVs remains low. Using 4 studies, including 1 preregistered experiment, the present research examines the role of trust in AV adoption decisions. Using the Trust-Confidence-Cooperation model as a conceptual framework, we evaluate whether perceived integrity of technology—a previously underexplored dimension of trust that refers to perceptions of the moral agency of a given technology—influences AV policy support and adoption intent. We find that perceived technology integrity predicts (...) adoption intent for AVs and that messages that increase perceived integrity of AV technology result in greater AV adoption intent and policy support. This knowledge can be used to guide communication efforts aimed at increasing public trust in AVs, and ultimately enhance integration of AVs into transport systems. (shrink)

Advances in artificial intelligence (AI) create an increasing similarity between the performance of AI systems or AI-based robots and human communication. They raise the questions: whether it is possible to communicate with, understand, and even empathically perceive artificial agents; whether we should ascribe actual subjectivity and thus quasi-personal status to them beyond a certain level of simulation; what will be the impact of an increasing dissolution of the distinction between simulated and real encounters. (1) To answer these questions, the paper (...) argues that the precondition for actually understanding others consists in the implicit assumption of the subjectivity of our counterpart, which makes shared feelings and a „we-intentionality” possible. This assumption is ultimately based on the presupposition of a shared form of life, conceived here as „conviviality.” (2) The possibility that future artificial agents could meet these preconditions is refuted on the basis of embodied and enactive cognition, which links subjectivity and consciousness to the aliveness of an organism. (3) Even if subjectivity is in principle impossible for artificial agents, the distinction between simulated and real subjectivity might nevertheless become increasingly blurred. Here, possible consequences are discussed, especially using the example of virtual psychotherapy. Finally, the paper makes case for a mindful appproach to the language we use to talk about artificial systems and pleads for preventing a systematic pretense of subjectivity. (shrink)

Social robots serve people as tutors, caretakers, receptionists, companions, and other social agents. People know that the robots are mechanical artifacts, yet they interact with them as if they were actual agents. How is this possible? The proposal here is that people construe social robots not as social agentsper se, but asdepictionsof social agents. They interpret them much as they interpret ventriloquist dummies, hand puppets, virtual assistants, and other interactive depictions of people and animals. Depictions as a class consist of (...) three physical scenes with part-by-part mappings between them: (a) a base scene (the raw physical artifact), (b) the depiction proper (the artifact construed as a depiction), and (c) the scene depicted (the scene people are to imagine). With social robots, evidence shows people form the same three scenes plus mappings: They perceive the raw machinery of a robot, construe it as a depiction of a character, and, using the depiction as a guide, engage in the pretense that they are interacting with the character depicted. With social robots, people also recognize three classes of agents – the characters depicted, the intended recipients of the depictions (those who view or interact with the robots), and the authorities responsible for the robots (the designers, makers, and owners). Construing social robots as depictions, we argue, accounts for many phenomena not covered by alternative models. (shrink)

Social robots are robots that can interact socially with humans. As social robots and the artificial intelligence that powers them becomes more advanced, they will likely take on more social and work roles. This has many important ethical implications. In this paper, we focus on one of the most central of these, the impacts that social robots can have on human autonomy. We argue that, due to their physical presence and social capacities, there is a strong potential for social robots (...) to enhance human autonomy as well as several ways they can inhibit and disrespect it. We argue that social robots could improve human autonomy by helping us to achieve more valuable ends, make more authentic choices, and improve our autonomy competencies. We also argue that social robots have the potential to harm human autonomy by instead leading us to achieve fewer valuable ends ourselves, make less authentic choices, decrease our autonomy competencies, make our autonomy more vulnerable, and disrespect our autonomy. Whether the impacts of social robots on human autonomy are positive or negative overall will depend on the design, regulation, and use we make of social robots in the future. (shrink)

A large part of the contemporary literature on dehumanization is committed to three ideas: (a) dehumanization involves some degree of denial of humanness, (b) such denial is to be comprehended in mental terms, and (c) whatever exact mechanisms underlie the denial of humanness, they belong in the realm of post-perceptual processing. This chapter examines (c) and argues that the awareness of minds might belong to perceptual processing. This paves the way for the possibility that dehumanization might, at least in part, (...) be a perceptual phenomenon, such that dehumanizers visually perceive the dehumanized as exhibiting lesser-than-human minds. It is perhaps unsurprising that the first systematic investigations of dehumanization approached the phenomenon as linked to contexts of war, genocide, extreme hatred, and violence. One guiding hypothesis was that dehumanizers exclude the dehumanized from a moral community of human beings, implicitly conceptualized as displaying distinct individualities and being embedded in caring interpersonal relations. By comprehending the dehumanized as deindividuated entities to which moral norms and considerations of fairness do not apply (Opotow 1990), dehumanizers are able to disengage from moral restrictions and self-sanctions (Bandura 1999). (shrink)

Artificial agents are progressively becoming more present in everyday-life situations and more sophisticated in their interaction affordances. In some specific cases, like Google Duplex, GPT-3 bots or Deep Mind’s AlphaGo Zero, their capabilities reach or exceed human levels. The use contexts of everyday life necessitate making such agents understandable by laypeople. At the same time, displaying human levels of social behavior has kindled the debate over the adoption of Dennett’s ‘intentional stance’. By means of a comparative analysis of the literature (...) on robots and virtual agents, we defend the thesis that approaching these artificial agents ‘as if’ they had intentions and forms of social, goal-oriented rationality is the only way to deal with their complexity on a daily base. Specifically, we claim that this is the only viable strategy for non-expert users to understand, predict and perhaps learn from artificial agents’ behavior in everyday social contexts. Furthermore, we argue that as long as agents are transparent about their design principles and functionality, attributing intentions to their actions is not only essential, but also ethical. Additionally, we propose design guidelines inspired by the debate over the adoption of the intentional stance. (shrink)

Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...) reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being. (shrink)

In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less (...) willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots. (shrink)

Although Japanese society has become aware of some types of robots, social acceptance of robots is still not widespread. This study conducted an online questionnaire survey to investigate the relationships between experiences with and knowledge of vacuum, pet-type, and communication robots and acceptance of these robots, including the intention to use and trust. The results suggested that experiences with, knowledge of functions, and acceptance of the robots differed depending on the type of robot, and the influence of these factors on (...) acceptance of the robots also differed depending on the robot types. (shrink)

In Lying and Insincerity, Andreas Stokke argues that bald-faced lies are genuine lies, and that lies are always assertions. Since bald-faced lies seem not to be aimed at convincing addressees of their contents, Stokke concludes that assertions needn’t have this aim. This conflicts with a traditional version of intentionalism, originally due to Grice, on which asserting something is a matter of communicatively intending for one’s addressee to believe it. I argue that Stokke’s own account of bald-faced lies faces serious problems (...) and give several responses on behalf of intentionalism. Some bald-faced lies are best understood as irrational attempts to deceive. Others are best understood as indirect speech acts of various kinds. Still, others are best understood as conventional speech acts, which differ from communicative acts like assertion in the ways that they must be embedded in social institutions or practices. An overarching theme of this essay is that we should not make theoretical decisions about how to classify speech acts by consulting ordinary usage. (shrink)

Many people are attracted to the idea that plants experience phenomenal conscious states like pain, sensory awareness, or emotions like fear. If true, this would have wide-ranging moral implications for human behavior, including land development, farming, vegetarianism, and more. Determining whether plants have minds relies on the work of both empirical disciplines and philosophy. Epistemology should settle the standards for evidence of other minds, and science should inform our judgment about whether any plants meet those standards. We argue that evidence (...) for other minds comes either from testimony, behavior, anatomy/physiology, or phylogeny. However, none of these provide evidence that plants have conscious mental states. Therefore, we conclude that there is no evidence that plants have minds in the sense relevant for morality. (shrink)

A robot's decision to harm a person is sometimes considered to be the ultimate proof of it gaining a human‐like mind. Here, we contrasted predictions about attribution of mental capacities from moral typecasting theory, with the denial of agency from dehumanization literature. Experiments 1 and 2 investigated mind perception for intentionally and accidentally harmful robotic agents based on text and image vignettes. Experiment 3 disambiguated agent intention (malevolent and benevolent), and additionally varied the type of agent (robotic and human) using (...) short computer‐generated animations. Harmful robotic agents were consistently imbued with mental states to a lower degree than benevolent agents, supporting the dehumanization account. Further results revealed that a human moral patient appeared to suffer less when depicted with a robotic agent than with another human. The findings suggest that future robots may become subject to human‐like dehumanization mechanisms, which challenges the established beliefs about anthropomorphism in the domain of moral interactions. (shrink)

Recent studies claim that having an analytical cognitive style is correlated with reduced religiosity in western populations. However, in cultural contexts where social norms constrain behavior, such cognitive characteristics may have reduced influence on behaviors and beliefs. We labeled this the ‘constraining environments hypothesis.’ In a sample of 246 Muslims in Turkey, the hypothesis was supported for gender. Females face social pressure to be religious. Unlike their male counterparts, they were more religious, less analytical, and their analytical scores were uncorrelated (...) with religiosity. We had predicted an analogous effect for the comparison between monolingual and bilingual students, since English-proficient students are exposed to a wider social environment. The bilingual students were less religious than the monolingual students, yet they were also less analytical. Thus, being analytical was not the path to lower religiosity for the bilingual students. Cognitive styles need to be studied along with social norms in a variety of cultures, to understand religion-cognition relationships. (shrink)

This paper motivates the idea that social robots should be credited as moral patients, building on an argumentative approach that combines virtue ethics and social recognition theory. Our proposal answers the call for a nuanced ethical evaluation of human-robot interaction that does justice to both the robustness of the social responses solicited in humans by robots and the fact that robots are designed to be used as instruments. On the one hand, we acknowledge that the instrumental nature of robots and (...) their unsophisticated social capabilities prevent any attribution of rights to robots, which are devoid of intrinsic moral dignity and personal status. On the other hand, we argue that another form of moral consideration—not based on rights attribution—can and must be granted to robots. The reason is that relationships with robots offer to the human agents important opportunities to cultivate both vices and virtues, like social interaction with other human beings. Our argument appeals to social recognition to explain why social robots, unlike other technological artifacts, are capable of establishing with their human users quasi-social relationships as pseudo-persons. This recognition dynamic justifies seeing robots as worthy of moral consideration from a virtue ethical standpoint as it predicts the pre-reflective formation of persistent affective dispositions and behavioral habits that are capable of corrupting the human user’s character. We conclude by drawing attention to a potential paradox drawn forth by our analysis and by examining the main conceptual conundrums that our approach has to face. (shrink)

Cognitive explanations of religious beliefs propose an evolutionary past in which humans had to possess certain cognitive adaptations to survive. The aim of this article is to show that some cognitive accounts may overvalue the putative role of cognition. One such cognitive idea is an assumption that cognition has been evolutionarily shaped only, or most importantly, in the Pleistocene. This idea seems common among writers on the cognitive science of religion (CSR), but is mistaken. Cognition has been shaped throughout evolution. (...) Another idea is that components of religion could not have been produced by natural selection (the hypothesis that religion is a by-product). But the article suggests that there are some domains in the field of religion and religious components that could be acquired and transmitted despite or even against alleged cognitive biases. The aim of this article is to argue for an extended approach that combines a cognitive account with functional naturalistic approaches, including an adaptationist one. Such distinction could imply that cognition is not functional. Obviously, this is not the case since cognition is the process of knowing, and surely knowledge is functional. However, the main argument for such a distinction lies in the key idea of the cognitive account that as far as cognition is functional and adaptive, religious components are not. Functionalism or “adaptivism” concerning cognition contradicts functionalism concerning religion. Numbers of scholars who consider themselves part of CSR seem also to consider both cognition and religion adaptive. However, in regard to components of religion, their adaptive, functional power is only secondary. The article concludes that the study of religion—as the study of cultural evolution in general—should include a pluralistic methodology combining cognitive and evolutionary accounts with the specificity of cultural evolution. (shrink)

This article investigates the deep-rooted logical structures underlying our thinking about other animals with a particular focus on topics relevant for cognitive primate research. We begin with a philosophical propaedeutic that makes perspicuous how we are to differentiate ontological from epistemological considerations regarding primates, while also accounting for the many perplexities that will undoubtedly be encountered upon applying this difference to concrete phenomena. Following this, we give an account of what is to be understood by the assertion of a thesis (...) of anthropological difference, identifying, inter alia, a property that fulfils the exclusivity, universality, and constitution criteria and demarcates the differentia specifica between humans and other animals. Also, we systematically develop how such theses can be formulated more moderately. Furthermore, we account for different theoretical frameworks, argumentative schemes, and sociological factors whose employment is associated with theses as such. This endeavor is carried out under the guise of anthropomorphism and anthropodenial. Doing so, we show that both are favored by the logic of cognitive primate research. Put briefly, concepts like cladistic parsimony and arguments by analogy favor anthropomorphism whereas concepts like traditional parsimony and Morgan’s canon favor anthropodenial. We close by framing these topics in the light of the self-other category mistake that lies in ascribing exclusive self-properties to some other. Lastly, we probe this category mistake for potency and scope of implications and find it to be central to and unavoidably ingrained in our thinking about other animals. (shrink)

In our daily lives, we need to predict and understand others’ behavior in order to navigate through our social environment. Predictions concerning other humans’ behavior usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called ‘adoption of the intentional stance.’ In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture, and human-robot interaction. We propose that adopting the intentional stance might be (...) a pivotal factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance and examines literature related to the development of the intentional stance across life span. Subsequently, we discuss cultural norms as grounded in the intentional stance, and finally, we focus on the issue of adopting the intentional stance toward artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how – and also when – we predict and explain robots’ behavior by referring to mental states is of high interest. The paper concludes with a discussion on ethical consequences of adopting the intentional stance toward robots, and sketches future directions in research on this topic. (shrink)

Human beings frequently attribute anthropomorphic features, motivations and behaviors to animals, artifacts, and natural phenomena. Historically, many interpretations of this attitude have been provided within different disciplines. What most interpretations have in common is distinguishing children’s manifestations of this attitude, which are considered “natural,” from adults’ occurrences, which must be explained by resorting to particular circumstances. In this article, I argue that anthropomorphism is not grounded in specific belief systems but rather in interaction. In interaction, a non-human entity assumes a (...) place that generally is attributed to a human interlocutor, which means that it is independent of the beliefs that people may have about the nature and features of the entities that are anthropomorphized. This perspective allows us to explain the problems that emerge if we consider anthropomorphism as a belief: (i) adults under certain circumstances may anthropomorphize entities even if they perfectly know that these entities have no mental life; (ii) according to the situation, the same entity may be anthropomorphized or treated as an object; (iii) there is no consistency among the entities that are anthropomorphized; (iv) there is individual variability in anthropomorphization, and this variability derives from affective states rather than from different degrees of knowledge about the entity that is anthropomorphized or greater or lesser naivety of the person who anthropomorphizes. From this perspective, anthropomorphism is a basic human attitude that begins in infants and persists throughout life. The difference between adults and children is not qualitative but rather a matter of complexity. (shrink)

Responsible Robotics is about developing robots in ways that take their social implications into account, which includes conceptually framing robots and their role in the world accurately. We are now in the process of incorporating robots into our world and we are trying to figure out what to make of them and where to put them in our conceptual, physical, economic, legal, emotional and moral world. How humans think about robots, especially humanoid social robots, which elicit complex and sometimes disconcerting (...) reactions, is not predetermined. The animal–robot analogy is one of the most commonly used in attempting to frame interactions between humans and robots and it also tends to push in the direction of blurring the distinction between humans and machines. We argue that, despite some shared characteristics, when it comes to thinking about the moral status of humanoid robots, legal liability, and the impact of treatment of humanoid robots on how humans treat one another, analogies with animals are misleading. (shrink)

It has previously been suggested that the historically and geographically widespread persistence of religious beliefs occurs because it is a by-product of normal cognitive processes, ones which first evolved to confer survival advantages in the social domain. If this theory holds, then it is likely that inter-individual variation in the same biases may predict corresponding variation in religious thoughts and behaviors. Using an online questionnaire, 298 participants answered questions regarding their tendency to detect agency, the degree to which they displayed (...) schizotypal traits, their ability to understand the emotions and motivations of others, and their religious beliefs and behaviors. Path analysis suggests that mentalizing, agency detection, and schizotypal thinking were each independently related to religiosity. Furthermore, schizotypal thinking and agency detection were highly interrelated with one another, whereas mentalizing was not. Although the degree to which an individual engages with religious or spiritual beliefs will be influenced by their cultural and historical context, this paper helps to elucidate the interplay between various cognitive processes that might predispose some individuals but not others toward holding such beliefs in the first place. (shrink)

New forms of artificial intelligence on the one hand and the ubiquitous networking of “everything with everything” on the other hand characterize the fourth industrial revolution. This results in a changed understanding of human–machine interaction, in new models for production, in which man and machine together with virtual agents form hybrid teams. The empirical study “Socializing with robots” aims to gain insight especially into conditions of development and processes of hybrid human–machine teams. In the experiment, human–robot actions and interactions were (...) closely observed in a virtual environment. Robots as partners differed in shape and behavior. Participants were instructed to achieve an objective that could only be achieved via close teamwork. This paper unites different aspects from core disciplines of social robotics and psychology contributing to anthropomorphization with the empirical insights of the experiment. It focuses on the psychological effects on anthropomorphization and mechanization, taking the inter- and transdisciplinary field of social robotics as a starting point. (shrink)

This paper is the product of an interdisciplinary, interreligious dialogue aiming to outline some of the possibilities and rational limits of supernatural religious belief, in the light of a critique of David Hume’s familiar sceptical arguments -- including a rejection of his famous Maxim on miracles -- combined with a range of striking recent empirical research. The Humean nexus leads us to the formulation of a new ”Common-Core/Diversity Dilemma’, which suggests that the contradictions between different religious belief systems, in conjunction (...) with new understandings of the cognitive forces that shape their common features, persuasively challenge the rationality of most kinds of supernatural belief. In support of this conclusion, we survey empirical research concerning intercessory prayer, religious experience, near-death experience, and various cognitive biases. But we then go on to consider evidence that supernaturalism -- even when rationally unwarranted -- has significant beneficial individual and social effects, despite others that are far less desirable. This prompts the formulation of a ”Normal/Objective Dilemma’, identifying important trade-offs to be found in the choice between our humanly evolved ”normal’ outlook on the world, and one that is more rational and ”objective’. Can we retain the pragmatic benefits of supernatural belief while avoiding irrationality and intergroup conflict? It may well seem that rationality is incompatible with any wilful sacrifice of objectivity. But in a situation of uncertainty, an attractive compromise may be available by moving from the competing factions and mutual contradictions of ”first-order’ supernaturalism to a more abstract and tolerant ”second-order’ view, which itself can be given some distinctive intellectual support through the increasingly popular Fine Tuning Argument. We end by proposing a ”Maxim of the Moon’ to express the undogmatic spirit of this second-order religiosity, providing a cautionary metaphor to counter the pervasive bias endemic to the human condition, and offering a more cooperation- and humility-enhancing understanding of religious diversity in a tense and precarious globalised age. (shrink)

In the Natural history of religion, Hume attempts to understand the origin of our folk belief in gods and spirits. These investigations are not, however, purely descriptive. Hume demonstrates that ontological commitment to supernatural agents depends on motivated reasoning and illusions of control. These beliefs cannot, then, be reflectively endorsed. This proposal must be taken seriously because it receives support from recent work on our psychological responses to uncertainty. It also compares quite favorably with its main competitors in the cognitive (...) science of religion. (shrink)

Anthropomorphism, or the attribution of human properties to nonhuman entities, is often posited as an explanation for the origin and nature of God concepts, but it remains unclear which human properties we tend to attribute to God and under what conditions. In three studies, participants decided whether two types of human properties—psychological properties and physiological properties—could or could not be attributed to God. In Study 1, participants made significantly more psychological attributions than physiological attributions, and the frequency of those attributions (...) was correlated both with participants’ religiosity and with their attribution of abstract, theological properties. In Study 2 and Study 3, participants not only showed the same preference for psychological properties but were also significantly faster, more consistent, and more confident when attributing psychological properties to God than when attributing physiological properties. And when denying properties to God, they showed the reverse pattern—that is, they were slower, less consistent, and less confident when denying psychological properties than when denying physiological properties. These patterns were observed both in a predominantly Christian population and a predominantly Hindu population. Overall, we argue that God is conceptualized not as a person in general but as an agent in particular, attributed a mind by default but attributed a body only upon further consideration. (shrink)

For centuries, humans have contemplated the minds of gods. Research on religious cognition is spread across sub-disciplines, making it difficult to gain a complete understanding of how people reason about gods' minds. We integrate approaches from cognitive, developmental, and social psychology and neuroscience to illuminate the origins of religious cognition. First, we show that although adults explicitly discriminate supernatural minds from human minds, their implicit responses reveal far less discrimination. Next, we demonstrate that children's religious cognition often matches adults' implicit (...) responses, revealing anthropomorphic notions of God's mind. Together, data from children and adults suggest the intuitive nature of perceiving God's mind as human-like. We then propose three complementary explanations for why anthropomorphism persists in adulthood, suggesting that anthropomorphism may be an instance of the anchoring and adjustment heuristic; a reflection of early testimony; and/or an evolutionary byproduct. (shrink)

This paper attempts to explain how and why nonhuman animals elicit disgust in human beings. I argue that animals elicit disgust in two ways. One is by triggering disease–protection mechanisms, and the other is by eliciting mortality salience, or thoughts of death. I discuss how these two types of disgust operate and defend their conceptual and theoretical coherence against common objections. I also outline an explanatory challenge for disgust researchers. Both types of disgust indicate that a wide variety of animals (...) produce aversive and avoidant reactions in human beings. This seems somewhat odd, given the prominence of animals in human lives. The challenge, then, is explaining how humans cope with the presence of animals. I propose, as a hypothesis for further exploration, that we cope with animals, and our disgust responses to them, by attributing mental states that mark them as inferior beings. To develop my proposal, I draw from recent research on dehumanization and infrahumanization. (shrink)

Recent research exploring phenomena such as change blindness, inattentional blindness, attentional blink and repetition blindness has revealed a number of counterintuitive ways in which apparently salient visual stimuli often go unnoticed. In fact, large majorities of subjects sometimes predict that they would detect visual changes that actually are rarely noticed, suggesting that people have strong beliefs about visual experience that are demonstrably incorrect. However, for other kinds of visual metacognition, such as picture memory, people underpredict performance. This paper describes two (...) experiments demonstrating that both these overpredictions of change detection, and underpredictions of visual memory can be linked with intuitions about the visual experience of different kinds of agents. Subjects predicted more visual change detection and poorer visual memory for mechanical representational systems when these were anthropomorphized using intentional terminology. (shrink)

The uncanny valley—the unnerving nature of humanlike robots—is an intriguing idea, but both its existence and its underlying cause are debated. We propose that humanlike robots are not only unnerving, but are so because their appearance prompts attributions of mind. In particular, we suggest that machines become unnerving when people ascribe to them experience, rather than agency. Experiment 1 examined whether a machine’s humanlike appearance prompts both ascriptions of experience and feelings of unease. Experiment 2 tested whether a machine capable (...) of experience remains unnerving, even without a humanlike appearance. Experiment 3 investigated whether the perceived lack of experience can also help explain the creepiness of unfeeling humans and philosophical zombies. These experiments demonstrate that feelings of uncanniness are tied to perceptions of experience, and also suggest that experience—but not agency—is seen as fundamental to humans, and fundamentally lacking in machines. (shrink)

This study explored the furry identity. Furries are humans interested in anthropomorphic art and cartoons. Some furries have zoomorphic tendencies. Furries often identify with, and/or assume, characteristics of a special/totem species of nonhuman animal. This research surveyed both furries and non-furry individuals attending a furry convention and a comparison group of college students . Furries commonly indicated dragons and various canine and feline species as their alternate-species identity; none reported a nonhuman-primate identity. Dichotomous responses to two key furry-identity questions produced (...) a two-by-two furry typology. These two independent dimensions are self-perception and species identity . One-quarter of the furry sample answered “yes” to both questions, placing them in the “Distorted Unattained” quadrant. This type of furry has certain characteristics paralleling gender-identity disorder. To explore this parallel, the furry typology, and the proposed construct of “Species Identity Disorder” needs further research. (shrink)

For some reason, participants hold agents more responsible for their actions when a situation is described concretely than when the situation is described abstractly. We present examples of this phenomenon, and survey some attempts to explain it. We divide these attempts into two classes: affective theories and cognitive theories. After criticizing both types of theories we advance our novel hypothesis: that people believe that whenever a norm is violated, someone is responsible for it. This belief, along with the familiar workings (...) of cognitive dissonance theory, is enough to not only explain all of the abstract/concrete paradoxes, but also explains seemingly unrelated effects, like the anthropomorphization of malfunctioning inanimate objects. (shrink)

Moral emotions are evolved mechanisms that function in part to optimize social relationships. We discuss two moral emotions— disgust and the “cuteness response”—which modulate social-engagement motives in opposite directions, changing the degree to which the eliciting entity is imbued with mental states (i.e., mentalized). Disgust-inducing entities are hypo-mentalized (i.e., dehumanized); cute entities are hyper-mentalized (i.e., “humanized”). This view of cuteness—which challenges the prevailing view that cuteness is a releaser of parental instincts (Lorenz, 1950/1971)—explains (a) the broad range of affiliative behaviors (...) elicited by cuteness, (b) the marketing of cuteness to children (by toy makers and animators) to elicit play, and (c) the apparent ease and frequency with which cute things are anthropomorphized. (shrink)

Perceiving others? minds is a crucial component of social life. People do not, however, always ascribe minds to other people, and sometimes ascribe minds to non-people. This article reviews when mind perception occurs, when it does not, and why mind perception is important. Causes of mind perception stem both from the perceiver and perceived, and include the need for social connection and a similarity to oneself. Mind perception also has profound consequences for both the perceiver and perceived. Ascribing mind confers (...) an entity moral rights and also makes its actions meaningful. Understanding the causes and consequences of mind perception can explain when this most social of cognitive skills will be used, and why it matters. (shrink)

Many recent AI policies have been structured under labels that follow a particular trend: national or international guidelines, policies or regulations, such as the EU’s and USA’s ‘Trustworthy AI’ and China’s and India’s adoption of ‘Responsible AI’, use a label that follows the recipe of [agentially loaded notion + ‘AI’]. A result of this branding, even if implicit, is to encourage the application by laypeople of these agentially loaded notions to the AI technologies themselves. Yet, these notions are appropriate only (...) when applied to agents, which current AI technologies are not; and the concern is that this misapplication creates an incentive to inappropriately attribute trustworthiness or responsibility to AI technologies. We endeavour to show that we have good reason to avoid any general AI policy that uses agentially loaded labelling. We suggest labelling these policies not in terms of some qualification of AI, but rather in terms of our approach to the technology and its wider development and use context – focusing on being trustworthy and responsible about AI, rather than on trustworthy or responsible AI. (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)