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)

Over the last decade, AI models of language and word meaning have been dominated by what we might call a statistics-of-occurrence, strategy: these models are deep neural net structures that have been trained on a large amount of unlabeled text with the aim of producing a model that exploits statistical information about word and phrase co-occurrence in order to generate behavior that is similar to what a human might produce, or representations that can be probed to exhibit behavior similar to (...) what a human might produce (meaningsemblant behavior). Examples of what we can call Statistics-of-Occurrence Models (SOMs) include: Word2Vec (CBOW and Skip-Gram), BERT, GPT-3, and, most recently, ChatGPT. Increasingly, there have been suggestions that such systems have semantic understanding, or at least a proto-version of it. This paper argues against such claims. I argue that a necessary condition for a system to possess semantic understanding is that it function in ways that are causally explainable by appeal to its semantic properties. I then argue that SOMs do not plausibly satisfy this Functioning Criterion. Rather, the best explanation of their meaning-semblant behavior is what I call the Statistical Hypothesis: SOMs do not themselves function to represent or produce meaningful text; they just reflect the semantic information that exists in the aggregate given strong correlations between word placement and meaningful use. I consider and rebut three main responses to the claim that SOMs fail to meet the Functioning Criterion. The result, I hope, is increased clarity about why and how one should make claims about AI systems having semantic understanding. (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)

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)

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 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)

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)

Supernatural beliefs are ubiquitous around the world, and mounting evidence indicates that these beliefs partly rely on intuitive, cross‐culturally recurrent cognitive processes. Specifically, past research has focused on humans' intuitive tendency to perceive minds as part of the cognitive foundations of belief in a personified God—an agentic, morally concerned supernatural entity. However, much less is known about belief in karma—another culturally widespread but ostensibly non‐agentic supernatural entity reflecting ethical causation across reincarnations. In two studies and four high‐powered samples, including mostly (...) Christian Canadians and mostly Hindu Indians (Study 1, N = 2,006) and mostly Christian Americans and Singaporean Buddhists (Study 2, N = 1,752), we provide the first systematic empirical investigation of the cognitive intuitions underlying various forms of belief in karma. We used path analyses to (a) replicate tests of the previously documented cognitive predictors of belief in God, (b) test whether this same network of variables predicts belief in karma, and (c) examine the relative contributions of cognitive and cultural variables to both sets of beliefs. We found that cognitive tendencies toward intuitive thinking, mentalizing, dualism, and teleological thinking predicted a variety of beliefs about karma—including morally laden, non‐agentic, and agentic conceptualizations—above and beyond the variability explained by cultural learning about karma across cultures. These results provide further evidence for an independent role for both culture and cognition in supporting diverse types of supernatural beliefs in distinct cultural contexts. (shrink)

Although some authors claim that deception requires intention, we argue that there can be deception in social robotics, whether or not it is intended. By focusing on the deceived rather than the deceiver, we propose that false beliefs can be created in the absence of intention. Supporting evidence is found in both human and animal examples. Instead of assuming that deception is wrong only when carried out to benefit the deceiver, we propose that deception in social robotics is wrong when (...) it leads to harmful impacts on individuals and society. The appearance and behaviour of a robot can lead to an overestimation of its functionality or to an illusion of sentience or cognition that can promote misplaced trust and inappropriate uses such as care and companionship of the vulnerable. We consider the allocation of responsibility for harmful deception. Finally, we make the suggestion that harmful impacts could be prevented by legislation, and by the development of an assessment framework for sensitive robot applications. (shrink)

Until recently, it was assumed that co-representation of others’ actions, an essential part in joint action, is biologically tuned. However, research demonstrated that we also simulate actions of non-biological interaction partners under certain conditions. In the present study, we investigated whether perceived intentionality or perspective taking is the underlying mechanisms of this phenomenon. Participants saw a short video fragment of a non-biological agent as main character. The movements of this agent were either described as intentional or as unintentional. Furthermore, participants (...) were instructed to either take the perspective of this non-biological agent or not. Results show that perspective taking and perceived intentionality both lead to action co-representation of non-biological actions. Possible explanations for these findings are discussed. (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)

AI research is growing rapidly raising various ethical issues related to safety, risks, and other effects widely discussed in the literature. We believe that in order to adequately address those issues and engage in a productive normative discussion it is necessary to examine key concepts and categories. One such category is anthropomorphism. It is a well-known fact that AI’s functionalities and innovations are often anthropomorphized (i.e., described and conceived as characterized by human traits). The general public’s anthropomorphic attitudes and some (...) of their ethical consequences (particularly in the context of social robots and their interaction with humans) have been widely discussed in the literature. However, how anthropomorphism permeates AI research itself (i.e., in the very language of computer scientists, designers, and programmers), and what the epistemological and ethical consequences of this might be have received less attention. In this paper we explore this issue. We first set the methodological/theoretical stage, making a distinction between a normative and a conceptual approach to the issues. Next, after a brief analysis of anthropomorphism and its manifestations in the public, we explore its presence within AI research with a particular focus on brain-inspired AI. Finally, on the basis of our analysis, we identify some potential epistemological and ethical consequences of the use of anthropomorphic language and discourse within the AI research community, thus reinforcing the need of complementing the practical with a conceptual analysis. (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)

In this paper we investigate ignorance in relation to our capacity to justify our beliefs. To achieve this aim we specifically address scientific misconceptions, i.e. beliefs that are considered to be false in light of accepted scientific knowledge. The hypothesis we put forward is that misconceptions are not isolated false beliefs, but rather form part of a system of inferences—an explanation—which does not match current scientific theory. We further argue that, because misconceptions are embedded in a system, they cannot be (...) rectified simply by replacing false beliefs with true ones. To address our misconceptions, we must rather act on the system of beliefs that supports them. In the first step of our analysis, we distinguish between misconceptions that are easy to dispel because they represent simple errors that occur against the background of a correct explanatory apparatus and misconceptions that are, on the contrary, very difficult to dispel because they are the product of pseudo explanations. We show that, in the latter case, misconceptions constitute an integral part of an incorrect explanation and the reasons that support such misconceptions are deeply misleading. In the second step, we discuss various approaches that have been adopted to address the problem of misconceptions. Challenging the notion that directly addressing and criticizing specific misconceptions is an effective approach, we propose that critical thinking is the most fruitful means to deal with misconceptions. We define the core competences and knowledge relevant for the practice of critical thinking and discuss how they help us avoid misconceptions that arise from accepting beliefs that form part of a mistaken explanation. (shrink)

My claim in this article is that, contra what I take to be the orthodoxy in the wider literature, we do trust inanimate objects – per the example in the title, there are cases where people really do trust a ladder (to hold their weight, for instance), and, perhaps most importantly, that this poses a challenge to that orthodoxy. My argument consists of four parts. In Section 2 I introduce an alleged distinction between trust as mere reliance and trust as (...) a rich, morally loaded notion. In the course of doing so, I briefly sketch some models of trust. This will help us to get a handle on how some of the mainstream models of trust preclude or ignore the trusting of inanimate objects. In Section 3 I introduce cases designed to show that we have reason to think that we do trust inanimate objects. In Section 4 I consider an objection, and in Section 5 I discuss some consequences of this finding, before concluding in Section 6. (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)

When considering other persons, the human mind draws from folk theories of biology, physics, and psychology. Studies have examined the extent to which people utilize these folk theories in inferring whether or not God has human-like biological, physical, and psychological constraints. However, few studies have examined the way in which these folk attributions relate to each other, the extent to which attributions within a domain are consistent, or whether cultural factors influence human-like attributions within and across domains. The present study (...) assessed 341 individuals’ attributions of anthropomorphic properties to God in three domains (psychological, biological, and physical), their religious beliefs, and their engagement in religious practices. Three Confirmatory Factor Analyses tested hypothetical models of the underlying structure of an anthropomorphic concept of God. The best fitting model was the “Hierarchical Dimensions Concept,” the analyses indicated one overall dimension of anthropomorphism with three sub-domains. Additionally, participants’ religiosity was negatively related to attributing human-like psychological properties to God, suggesting that the more people engage with their religion, the less they think about God as having a ‘human-like’ mind. Religiosity was positively related to individual consistency scores in the biological domain. In other words, greater religiosity was related to less consistent answers about God’s biological properties. As a result, the findings of the current study also suggest that individuals do not just vary between each other in how much they anthropomorphize God, but additionally, variation exists in the type of anthropomorphic reasoning used within an individual person’s concept of God. (shrink)

Social robotics entertains a particular relationship with anthropomorphism, which it neither sees as a cognitive error, nor as a sign of immaturity. Rather it considers that this common human tendency, which is hypothesized to have evolved because it favored cooperation among early humans, can be used today to facilitate social interactions between humans and a new type of cooperative and interactive agents - social robots. This approach leads social robotics to focus research on the engineering of robots that activate anthropomorphic (...) projections in users. The objective is to give robots "social presence" and "social behaviors" that are sufficiently credible for human users to engage in comfortable and potentially long-lasting relations with these machines. This choice of ’applied anthropomorphism’ as a research methodology exposes the artifacts produced by social robotics to ethical condemnation: social robots are judged to be a "cheating" technology, as they generate in users the illusion of reciprocal social and affective relations. This article takes position in this debate, not only developing a series of arguments relevant to philosophy of mind, cognitive sciences, and robotic AI, but also asking what social robotics can teach us about anthropomorphism. On this basis, we propose a theoretical perspective that characterizes anthropomorphism as a basic mechanism of interaction, and rebuts the ethical reflections that a priori condemns "anthropomorphism-based" social robots. To address the relevant ethical issues, we promote a critical experimentally based ethical approach to social robotics, "synthetic ethics," which aims at allowing humans to use social robots for two main goals: self-knowledge and moral growth. (shrink)

Robots are increasingly being studied for use in education. It is expected that robots will have the potential to facilitate children’s learning and function autonomously within real classrooms in the near future. Previous research has raised the importance of designing acceptable robots for different practices. In parallel, scholars have raised ethical concerns surrounding children interacting with robots. Drawing on a Responsible Research and Innovation perspective, our goal is to move away from research concerned with designing features that will render robots (...) more socially acceptable by end users toward a reflective dialogue whose goal is to consider the key ethical issues and long-term consequences of implementing classroom robots for teachers and children in primary education. This paper presents the results from several focus groups conducted with teachers in three European countries. Through a thematic analysis, we provide a theoretical account of teachers’ perspectives on classroom robots pertaining to privacy, robot role, effects on children and responsibility. Implications for the field of educational robotics are discussed. (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)

Until recently, it was assumed that co-representation of others’ actions, an essential part in joint action, is biologically tuned. However, research demonstrated that we also simulate actions of non-biological interaction partners under certain conditions. In the present study, we investigated whether perceived intentionality or perspective taking is the underlying mechanisms of this phenomenon. Participants saw a short video fragment of a non-biological agent as main character. The movements of this agent were either described as intentional or as unintentional. Furthermore, participants (...) were instructed to either take the perspective of this non-biological agent or not. Results show that perspective taking and perceived intentionality both lead to action co-representation of non-biological actions. Possible explanations for these findings are discussed. (shrink)

Making interactions between humans and artificial agents successful is a major goal of interaction design. The aim of this paper is to provide researchers conducting interaction studies a new framework for the evaluation of robot believability. By critically examining the ordinary sense of believability, we first argue that currently available notions of it are underspecified for rigorous application in an experimental setting. We then define four concepts that capture different senses of believability, each of which connects directly to an empirical (...) methodology. Finally, we show how this framework has been and can be used in the construction of interaction studies by applying it to our own work in human–robot interaction. (shrink)

We develop a cultural evolutionary theory of the origins of prosocial religions and apply it to resolve two puzzles in human psychology and cultural history: (1) the rise of large-scale cooperation among strangers and, simultaneously, (2) the spread of prosocial religions in the last 10–12 millennia. We argue that these two developments were importantly linked and mutually energizing. We explain how a package of culturally evolved religious beliefs and practices characterized by increasingly potent, moralizing, supernatural agents, credible displays of faith, (...) and other psychologically active elements conducive to social solidarity promoted high fertility rates and large-scale cooperation with co-religionists, often contributing to success in intergroup competition and conflict. In turn, prosocial religious beliefs and practices spread and aggregated as these successful groups expanded, or were copied by less successful groups. This synthesis is grounded in the idea that although religious beliefs and practices originally arose as nonadaptive by-products of innate cognitive functions, particular cultural variants were then selected for their prosocial effects in a long-term, cultural evolutionary process. This framework (1) reconciles key aspects of the adaptationist and by-product approaches to the origins of religion, (2) explains a variety of empirical observations that have not received adequate attention, and (3) generates novel predictions. Converging lines of evidence drawn from diverse disciplines provide empirical support while at the same time encouraging new research directions and opening up new questions for exploration and debate. (shrink)

Until recently, it was assumed that co-representation of others’ actions, an essential part in joint action, is biologically tuned. However, research demonstrated that we also simulate actions of non-biological interaction partners under certain conditions. In the present study, we investigated whether perceived intentionality or perspective taking is the underlying mechanisms of this phenomenon. Participants saw a short video fragment of a non-biological agent as main character. The movements of this agent were either described as intentional or as unintentional. Furthermore, participants (...) were instructed to either take the perspective of this non-biological agent or not. Results show that perspective taking and perceived intentionality both lead to action co-representation of non-biological actions. Possible explanations for these findings are discussed. (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)

Although transpersonal psychologies of self realization emphasize individual development, earlier shamanic traditions also showed a central societal aspect and group based consciousness. Indeed, many have understood the transpersonal movement as developing towards an abstract globalized neo-shamanism. That altered states of consciousness, whether as integrative realizations of the numinous or as dissociative “hypnoid” states, could be felt and shared collectively was a familiar concept to the first generation of sociologists, who saw all consciousness as social and dialogic in form. Durkheim, in (...) particular, foresaw a globalized spirituality of the future, his “cult of man,” in which modern individuation would progress to the point where all we would have in common for the collective representations of spiritual awareness would be our shared sense of human beingness. This view foreshadowed De Chardin, and is presented explicitly or implicitly in Jung, Gurdjieff, Heidegger, Maslow, and Almaas. The implications of a societal, collective face of transpersonalism for a future planetary spirituality are pursued in terms of both a global ecological consciousness and the potential transpersonal significance of SETI. (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)

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)

History is littered with scientifically ill-founded claims about human nature. They frequently appear in normative contexts, projecting ideology or values onto nature (what we call the naturalizing...

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)

Current uses of robots in classrooms are reviewed and used to characterise four scenarios: Robot as Classroom Teacher; Robot as Companion and Peer; Robot as Care-eliciting Companion; and Telepresence Robot Teacher. The main ethical concerns associated with robot teachers are identified as: privacy; attachment, deception, and loss of human contact; and control and accountability. These are discussed in terms of the four identified scenarios. It is argued that classroom robots are likely to impact children’s’ privacy, especially when they masquerade as (...) their friends and companions, when sensors are used to measure children’s responses, and when records are kept. Social robots designed to appear as if they understand and care for humans necessarily involve some deception, and could increase the risk of reduced human contact. Children could form attachments to robot companions, or robot teachers and this could have a deleterious effect on their social development. There are also concerns about the ability, and use of robots to control or make decisions about children’s behaviour in the classroom. It is concluded that there are good reasons not to welcome fully fledged robot teachers, and that robot companions should be given a cautious welcome at best. The limited circumstances in which robots could be used in the classroom to improve the human condition by offering otherwise unavailable educational experiences are discussed. (shrink)