Clark and Fischer's three levels of depiction of social robots can be conceptualized as cognitive schemas. When interacting with social robots, humans shift between schemas similarly to how they shift between identity category schemas when interacting with other humans. Perception of mind, context cues, and individual differences underlie perceptions of which level of depiction is most situationally relevant.

When it comes to social robotics (robots that engage human social responses via “eyes” and other facial features, voice-based natural-language interactions, and even evocative movements), ethicists, particularly in European and North American traditions, are divided over whether and why they might be morally considerable. Some argue that moral considerability is based on internal psychological states like consciousness and sentience, and debate about thresholds of such features sufficient for ethical consideration, a move sometimes criticized for being overly dualistic in its framing (...) of mind versus body. Others, meanwhile, focus on the effects of these robots on human beings, arguing that psychological impact alone can qualify an entity for moral status. What both sides overlook is the importance for ordinary moral reasoning of integrating questions about an entity’s “inner life,” and its psychological effect on us. Turning to accounts of relationships in virtue ethics, especially those of the Confucian tradition, we find a more nuanced theory that can provide complex guidance on the moral considerability of social robots, including ethical considerations about whether and how to question this to begin with. (shrink)

Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral concerns (...) and behaviors differ when interacting with technologies versus humans. We show that moral intention is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. (shrink)

Ethicists, policy-makers, and the general public have questioned whether artificial entities such as robots warrant rights or other forms of moral consideration. There is little synthesis of the research on this topic so far. We identify 294 relevant research or discussion items in our literature review of this topic. There is widespread agreement among scholars that some artificial entities could warrant moral consideration in the future, if not also the present. The reasoning varies, such as concern for the effects on (...) artificial entities and concern for the effects on human society. Beyond the conventional consequentialist, deontological, and virtue ethicist ethical frameworks, some scholars encourage “information ethics” and “social-relational” approaches, though there are opportunities for more in-depth ethical research on the nuances of moral consideration of artificial entities. There is limited relevant empirical data collection, primarily in a few psychological studies on current moral and social attitudes of humans towards robots and other artificial entities. This suggests an important gap for psychological, sociological, economic, and organizational research on how artificial entities will be integrated into society and the factors that will determine how the interests of artificial entities are considered. (shrink)

Trust is a key dimension of human-robot interaction, and has often been studied in the HRI community. A common challenge arises from the difficulty of assessing trust levels in ecologically invalid environments: we present in this paper two independent laboratory studies, totalling 160 participants, where we investigate the impact of different types of errors on resulting trust, using both behavioural and subjective measures of trust. While we found a general effect of errors on reported and observed level of trust, no (...) significant differences between the type of errors were found in either of our studies. We discuss this negative result in light of our experimental protocols, and argue for the community to move towards alternative methodologies to assess trust. (shrink)

Some philosophical theories of consciousness imply consciousness in things we would never intuitively think are conscious—most notably, panpsychism implies that consciousness is pervasive, even outside complex brains. Is this a reductio ab absurdum for such theories, or does it show that we should reject our original intuitions? To understand the stakes of this question as clearly as possible, we analyse the structured pattern of intuitions that panpsychism conflicts with. We consider a variety of ways that the tension between this intuition (...) and panpsychism could be resolved, ranging from complete rejection of the theory to complete dismissal of the intuition, but argue in favour of more nuanced approaches which try to reconcile the two. (shrink)

I argue that we sometimes visually perceive the intentions of others. Just as we can see something as blue or as moving to the left, so too can we see someone as intending to evade detection or as aiming to traverse a physical obstacle. I consider the typical subject presented with the Heider and Simmel movie, a widely studied ‘animacy’ stimulus, and I argue that this subject mentally attributes proximal intentions to some of the objects in the movie. I further (...) argue that these attributions are unrevisable in a certain sense and that this result can be used to as part of an argument that these attributions are not post-perceptual thoughts. Finally, I suggest that if these attributions are visual experiences, and more particularly visual illusions, their unrevisability can be satisfyingly explained, by appealing to the mechanisms which underlie visual illusions more generally. (shrink)

Horror movies have discovered an easy recipe for making people creepy: alter their eyes. Instead of normal eyes, zombies’ eyes are vacantly white, vampires’ eyes glow with the color of blood, and those possessed by demons are cavernously black. In the Academy Award winning Pan’s Labyrinth, director Guillermo del Toro created the creepiest of all creatures by entirely removing its eyes from its face, placing them instead in the palms of its hands. The unease induced by altering eyes may help (...) to explain the uncanny valley, which is the eeriness of robots that are almost—but not quite—human. Much research has explored the uncanny valley, including the research reported by MacDorman & Entezari, which focuses on individual differences that might predict the eeriness of humanlike robots. In their paper, they suggest that a full understanding of this phenomenon needs to synthesize individual differences with features of the robot. One theory that links these two concepts is mind perception, which past research highlights as essential to the uncanny valley. Mind perception is linked to both individual differences—autism—and to features of the robot—the eyes—and can provide a deeper understanding of this arresting phenomenon. In this paper, we present original data that links uncanniness to the eyes through aberrant perceptions of mind. (shrink)

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

Cognitive scientists have revealed systematic errors in human reasoning. There is disagreement about what these errors indicate about human rationality, but one upshot seems clear: human reasoning does not seem to fit traditional views of human rationality. This concern about rationality has made its way through various fields and has recently caught the attention of philosophers. The concern is that if philosophers are prone to systematic errors in reasoning, then the integrity of philosophy would be threatened. In this paper, I (...) present some of the more famous work in cognitive science that has marshaled this concern. Then I present reasons to think that those with training in philosophy will be less prone to certain systematic errors in reasoning. The suggestion is that if philosophers could be shown to be less prone to such errors, then the worries about the integrity of philosophy could be constrained. Then I present evidence that, according to performance on the CRT (Frederick 2005), those who have benefited from training and selection in philosophy are indeed less prone to one kind of systematic error: irrationally arbitrating between intuitive and reflective responses. Nonetheless, philosophers are not entirely immune to this systematic error, and their proclivity for this error is statistically related to their responses to a variety of philosophical questions. So, while the evidence herein puts constraints on the worries about the integrity of philosophy, it by no means eliminates these worries. The conclusion, then, is that the present evidence offers prima facie reasons to ascribe a mitigated privilege to philosophers' ability to rationally arbitrate between intuitive and reflective responses. (shrink)

Algorithms increasingly make managerial decisions that people used to make. Perceptions of algorithms, regardless of the algorithms' actual performance, can significantly influence their adoption, yet we do not fully understand how people perceive decisions made by algorithms as compared with decisions made by humans. To explore perceptions of algorithmic management, we conducted an online experiment using four managerial decisions that required either mechanical or human skills. We manipulated the decision-maker, and measured perceived fairness, trust, and emotional response. With the mechanical (...) tasks, algorithmic and human-made decisions were perceived as equally fair and trustworthy and evoked similar emotions; however, human managers' fairness and trustworthiness were attributed to the manager's authority, whereas algorithms' fairness and trustworthiness were attributed to their perceived efficiency and objectivity. Human decisions evoked some positive emotion due to the possibility of social recognition, whereas algorithmic decisions generated a more mixed response – algorithms were seen as helpful tools but also possible tracking mechanisms. With the human tasks, algorithmic decisions were perceived as less fair and trustworthy and evoked more negative emotion than human decisions. Algorithms' perceived lack of intuition and subjective judgment capabilities contributed to the lower fairness and trustworthiness judgments. Positive emotion from human decisions was attributed to social recognition, while negative emotion from algorithmic decisions was attributed to the dehumanizing experience of being evaluated by machines. This work reveals people's lay concepts of algorithmic versus human decisions in a management context and suggests that task characteristics matter in understanding people's experiences with algorithmic technologies. (shrink)

‘Smart’ devices are becoming increasingly ubiquitous. While these sophisticated machines are useful for various purposes, they sometimes evoke feelings of eeriness or discomfort that constitute uncanniness, a much-discussed phenomenon in robotics research. Adult participants (N = 115) rated the uncanniness of a hypothetical future smart speaker that was described as possessing the mental capacities for experience, agency, neither, or both. The novel condition prompting participants to attribute both agency and experience to the speaker filled an important theoretical gap in the (...) literature. Consistent with the mind perception hypothesis of uncanniness (MPH; Gray & Wegner, 2012), participants in the with-experience condition rated the device significantly higher in uncanniness than those in the control condition and the with-agency condition. Participants in the with-both (experience and agency) condition also rated the device higher in uncanniness than those in the control condition and the with-agency condition, although this latter difference only approached statistical significance. (shrink)

Virtue ethics seems to be a promising moral theory for understanding and interpreting the development and behavior of artificial moral agents. Virtuous artificial agents would blur traditional distinctions between different sorts of moral machines and could make a claim to membership in the moral community. Accordingly, we investigate the “machine question” by studying whether virtue or vice can be attributed to artificial intelligence; that is, are people willing to judge machines as possessing moral character? An experiment describes situations where either (...) human or AI agents engage in virtuous or vicious behavior and experiment participants then judge their level of virtue or vice. The scenarios represent different virtue ethics domains of truth, justice, fear, wealth, and honor. Quantitative and qualitative analyses show that moral attributions are weakened for AIs compared to humans, and the reasoning and explanations for the attributions are varied and more complex. On “relational” views of membership in the moral community, virtuous machines would indeed be included, even if they are indeed weakened. Hence, while our moral relationships with artificial agents may be of the same types, they may yet remain substantively different than our relationships to human beings. (shrink)

Philosophers and psychologists have experimentally explored various aspects of people’s understandings of subjective experience based on their responses to questions about whether robots “see red” or “feel frustrated,” but the intelligibility of such questions may well presuppose that people understand robots as experiencers in the first place. Departing from the standard approach, I develop an experimental framework that distinguishes 20 between “phenomenal consciousness” as it is applied to a subject (an experiencer) and to an (experiential) mental state and experimentally test (...) folk understandings of both subjective experience and experiencers. My findings (1) reveal limitations in experimental approaches using “artificial experiencers” like robots, (2) indicate that the standard philosophical conception of subjective experience in terms of qualia is distinct from that of the folk, and (3) show that folk intuitions do support a conception of qualia that departs from the philosophical conception in that it is physical rather than metaphysical. These findings have implications for the “hard problem” of consciousness. (shrink)

Mind perception is the essence of moral judgment. Broadly, moral standing is linked to perceptions of mind, with moral responsibility tied to perceived agency, and moral rights tied to perceived experience. More specifically, moral judgments are based on a fundamental template of two perceived minds—an intentional agent and a suffering patient. This dyadic template grows out of the universal power of harm, and serves as a cognitive working model through which even atypical moral events are understood. Thus, all instances of (...) immorality are perceived to involve both blameworthy agents (i.e., acts) and suffering victims (i.e., consequences). Because moral cognition simultaneously concerns acts and consequences, theories which focus primarily on acts (i.e., deontology) or consequences (i.e., utilitarianism) do not accurately describe moral cognition. Indeed, the phenomenon of dyadic completion suggests that deontological and utilitarian concerns are not only simultaneously active, but also typically compatible and reinforcing: wrong acts have harmful consequences, and harmful consequences stem from wrong acts. The cognitive fusion of acts with consequences suggests that normative conflicts between deontology and utilitarianism are not reflected in everyday moral judgment. This in turn suggests that empirical conclusions drawn from moral dilemmas that pit utilitarianism against deontology—i.e., trolley problems—give an skewed account of moral cognition. (shrink)

The current research aims to answer the following question: “who will be held responsible for harm involving an artificial intelligence system?” Drawing upon the literature on moral judgments, we assert that when people perceive an AI system’s action as causing harm to others, they will assign blame to different entity groups involved in an AI’s life cycle, including the company, the developer team, and even the AI system itself, especially when such harm is perceived to be intentional. Drawing upon the (...) theory of mind perception, we hypothesized that two dimensions of mind: perceived agency—attributing intention, reasoning, pursuing goals, and communicating to AI, and perceived experience—attributing emotional states, such as feeling pain and pleasure, personality, and consciousness to AI—mediated the relationship between perceived intentional harm and blame judgments toward AI. We also predicted that people are likely to attribute higher mind characteristics to AI when harm is perceived to be directed to humans than when it is perceived to be directed to non-humans. We tested our research model in three experiments. In all experiments, we found that perceived intentional harm led to blame judgments toward AI. In two experiments, we found perceived experience, not agency, mediated the relationship between perceived intentional harm and blame judgments. We also found that companies and developers were held responsible for moral violations involving AI, with developers received the most blame among the entities involved. Our third experiment reconciles the findings by showing that perceived intentional harm directed to a non-human entity did not lead to increased attributions of mind to AI. These findings have implications for theory and practice concerning unethical outcomes and behavior associated with AI use. (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)

We were encouraged by the broad enthusiasm for building machines that learn and think in more human-like ways. Many commentators saw our set of key ingredients as helpful, but there was disagreement regarding the origin and structure of those ingredients. Our response covers three main dimensions of this disagreement: nature versus nurture, coherent theories versus theory fragments, and symbolic versus sub-symbolic representations. These dimensions align with classic debates in artificial intelligence and cognitive science, although, rather than embracing these debates, we (...) emphasize ways of moving beyond them. Several commentators saw our set of key ingredients as incomplete and offered a wide range of additions. We agree that these additional ingredients are important in the long run and discuss prospects for incorporating them. Finally, we consider some of the ethical questions raised regarding the research program as a whole. (shrink)

Robots that incorporate the function of apologizing have emerged in recent years. This paper examines the moral permissibility of making robots apologize. First, I characterize the nature of apology based on analyses conducted in multiple scholarly domains. Next, I present a prima facie argument that robot apologies are not permissible because they may harm human societies by inducing the misattribution of responsibility. Subsequently, I respond to a possible response to the prima facie objection based on the interpretation that attributing responsibility (...) to a robot is analogous to having an attitude toward fiction. Then, I demonstrate that there are cases of robot apologies where the prima facie objection does not apply, by considering the following two points: (1) apology-related practices found in our human-to-human apologies, and (2) a difference in the degree of harm caused by robot failures and the resulting apologies. Finally, given the current norms governing our apology-related practices, I argue that some instances of making robots apologize are permissible, and I propose conducting critical robotics research questioning the validity of such norms. (shrink)

Humanoid robots are projected to be mass marketed in the future in several fields of application. Today, however, user evaluations of humanoid robots are often based on mediated depictions rather than actual observations or interactions with a robot, which holds true not least for scientific user studies. People can be confronted with robots in various modes of presentation, among them 2D videos, 3D, i.e., stereoscopic videos, immersive Virtual Reality, or live on site. A systematic investigation into how such differential modes (...) of presentation influence user perceptions of a robot is still lacking. Thus, the current study systematically compares the effects of different presentation modes with varying immersive potential on user evaluations of a humanoid service robot. Participants observed an interaction between a humanoid service robot and an actor either on 2D or 3D video, via a virtual reality headset or live. We found support for the expected effect of the presentation mode on perceived immediacy. Effects regarding the degree of human likeness that was attributed to the robot were mixed. The presentation mode had no influence on evaluations in terms of eeriness, likability, and purchase intentions. Implications for empirical research on humanoid robots and practice are discussed. (shrink)

Young children help others in a range of situations, relatively indiscriminate of the characteristics of those they help. Recent results have suggested that young children’s helping behaviour extends even to humanoid robots. However, it has been unclear how characteristics of robots would influence children’s helping behaviour. Considering previous findings suggesting that certain robot features influence adults’ perception of and their behaviour towards robots, the question arises of whether young children’s behaviour and perception would follow the same principles. The current study (...) investigated whether two key characteristics of a humanoid robot (animate autonomy and friendly expressiveness) would affect children’s instrumental helping behaviour and their perception of the robot as an animate being. Eighty-two 3-year-old children participated in one of four experimental conditions manipulating a robot’s ostensible animate autonomy (high/low) and friendly expressiveness (friendly/neutral). Helping was assessed in an out-of-reach task and animacy ratings were assessed in a post-test interview. Results suggested that both children’s helping behaviour, as well as their perception of the robot as animate, were unaffected by the robot’s characteristics. The findings indicate that young children’s helping behaviour extends largely indiscriminately across two important characteristics. These results increase our understanding of the development of children’s altruistic behaviour and animate-inanimate distinctions. Our findings also raise important ethical questions for the field of child-robot interaction. (shrink)

Horror movies have discovered an easy recipe for making people creepy: alter their eyes. Instead of normal eyes, zombies’ eyes are vacantly white, vampires’ eyes glow with the color of blood, and those possessed by demons are cavernously black. In the Academy Award winning Pan’s Labyrinth, director Guillermo del Toro created the creepiest of all creatures by entirely removing its eyes from its face, placing them instead in the palms of its hands. The unease induced by altering eyes may help (...) to explain the uncanny valley, which is the eeriness of robots that are almost—but not quite—human. Much research has explored the uncanny valley, including the research reported by MacDorman & Entezari, which focuses on individual differences that might predict the eeriness of humanlike robots. In their paper, they suggest that a full understanding of this phenomenon needs to synthesize individual differences with features of the robot. One theory that links these two concepts is mind perception, which past research highlights as essential to the uncanny valley. Mind perception is linked to both individual differences—autism—and to features of the robot—the eyes—and can provide a deeper understanding of this arresting phenomenon. In this paper, we present original data that links uncanniness to the eyes through aberrant perceptions of mind. (shrink)

Young children often treat robots as social agents after they have witnessed interactions that can be interpreted as social. We studied in three experiments whether four-year-olds from three cultures and adults from two cultures will attribute ownership of objects to a robot that engages in social gaze with a human. Participants watched videos of robot-human interactions, in which objects were possessed or new objects were created. Children and adults applied the same ownership rules to humans and robots – irrespective of (...) whether the robot engaged in social gaze or not. However, there was cultural variation in the types of ownership rules used. In Experiment 3, we removed further social cues, finding that just showing a pair of self-propelled robot-arms elicited ownership attributions. The role of social gaze in social attributions to robots and cross-cultural differences in ownership understanding are discussed. (shrink)

While robots were traditionally built to achieve economic efficiency and financial profits, their roles are likely to change in the future with the aim to provide social support and companionship. In this research, we examined whether the robot’s proposed function (social vs. economic) impacts judgments of mind and moral treatment. Studies 1a and 1b demonstrated that robots with social function were perceived to possess greater ability for emotional experience, but not cognition, compared to those with economic function and whose function (...) was not mentioned explicitly. Study 2 replicated this finding and further showed that low economic value reduced ascriptions of cognitive capacity, whereas high social value resulted in increased emotion perception. In Study 3, robots with high social value were more likely to be afforded protection from harm, and such effect was related to levels of ascribed emotional experience. Together, the findings demonstrate a dissociation between function type (social vs. economic) and ascribed mind (emotion vs. cognition). In addition, the two types of functions exert asymmetric influences on the moral treatment of robots. Theoretical and practical implications for the field of social psychology and human-computer interaction are discussed. (shrink)

The transfer of tasks with sometimes far-reaching implications to autonomous systems raises a number of ethical questions. In addition to fundamental questions about the moral agency of these systems, behavioral issues arise. We investigate the empirically accessible question of whether the imposition of harm by an agent is systematically judged differently when the agent is artificial and not human. The results of a laboratory experiment suggest that decision-makers can actually avoid punishment more easily by delegating to machines than by delegating (...) to other people. Our results imply that the availability of artificial agents could provide stronger incentives for decision-makers to delegate sensitive decisions. (shrink)

‘Smart’ devices are becoming increasingly ubiquitous. While these sophisticated machines are useful for various purposes, they sometimes evoke feelings of eeriness or discomfort that constitute uncanniness, a much-discussed phenomenon in robotics research. Adult participants (N = 115) rated the uncanniness of a hypothetical future smart speaker that was described as possessing the mental capacities for experience, agency, neither, or both. The novel condition prompting participants to attribute both agency and experience to the speaker filled an important theoretical gap in the (...) literature. Consistent with the mind perception hypothesis of uncanniness (MPH; Gray & Wegner, 2012), participants in the with-experience condition rated the device significantly higher in uncanniness than those in the control condition and the with-agency condition. Participants in the with-both (experience and agency) condition also rated the device higher in uncanniness than those in the control condition and the with-agency condition, although this latter difference only approached statistical significance. (shrink)

This paper extends Mori’s (IEEE Robot Autom Mag 19:98–100, 2012) uncanny valley-hypothesis to include technologies that fail its basic criterion that uncanniness arises when the subject experiences a discrepancy in a machine’s human likeness. In so doing, the paper considers Mori’s hypothesis about the uncanny valley as an instance of what Heidegger calls the ‘challenging revealing’ nature of modern technology. It introduces seeming autonomy and heteronomy as phenomenological categories that ground human being-in-the-world including our experience of things and people. It (...) is suggested that this categorical distinction is more foundational than Heidegger’s existential structures and phenomenological categories. Having introduced this novel phenomenological distinction, the paper considers the limits of Mori’s hypothesis by drawing on an example from science fiction that showcases that uncanniness need not only be caused by machines that resemble human beings. In so doing, it explores how the seeming autonomy-heteronomy distinction clarifies (at least some of) the uncanniness that can arise when humans encounter advanced technology which is irreducible to the anthropocentrism that shapes Mori’s original hypothesis. (shrink)

Artificial Intelligence and algorithms are increasingly able to replace human workers in cognitively sophisticated tasks, including ones related to justice. Many governments and international organizations are discussing policies related to the application of algorithmic judges in courts. In this paper, we investigate the public perceptions of algorithmic judges. Across two experiments (N = 1,822), and an internal meta-analysis (N = 3,039), our results show that even though court users acknowledge several advantages of algorithms (i.e., cost and speed), they trust human (...) judges more and have greater intentions to go to the court when a human (vs. an algorithmic) judge adjudicates. Additionally, we demonstrate that the extent that individuals trust algorithmic and human judges depends on the nature of the case: trust for algorithmic judges is especially low when legal cases involve emotional complexities (vs. technically complex or uncomplicated cases). (shrink)