Robots as Malevolent Moral Agents: Harmful Behavior Results in Dehumanization,Not Anthropomorphism

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.     

Getting social in selection: How social networking website content is perceived and used in hiring

The use of social networking websites (SNWs) during employee selection is gaining popularity in organizations. Using a foundation that integrates identity and situational strength theories, we develop a conceptual framework that differentiates SNW information from information gathered through traditional selection procedures, and distinguishes between SNW types. Research questions and hypotheses are tested using a survey of 291 hiring professionals. Results indicate that SNW content is considered useful and is regularly utilized during hiring. Some SNW content is viewed positively (e.g., information supporting qualifications), while other information leads to negative perceptions (e.g., discriminatory comments). Finally, results support a differentiation between personal and professional SNW, as the kind of information sought and the effectiveness of assessing various work‐related constructs differs between these SNW categories.     

Metacognitive components of writing: Construction and validation of the Metacognitive Components of Planning Writing Self-inventory (MCPW-I)

IntroductionWriting and metacognition play an essential function in the learning process, in that writers engage arduous cognitive efforts by selecting and organizing ideas, then reviewing and readjusting them.ObjectiveThe present research aimed to construct and validate a self-report instrument to measure some specific metacognitive processes implicated in writing planning. Two categories of metacognitive components were considered: metacognitive knowledge and self-regulation strategies.MethodBased on exploratory and confirmatory analyses, the Metacognitive Components of Planning Writing Self-inventory (MCPW-I) was constructed and validated. This instrument is composed of three factors: Metacognitive Conditional Knowledge – MCK (6 items), Covert Self-regulation – CSF (4 items), and Environmental self-regulation – ESF (5 items). 1022 undergraduates students engaged in various programs of a French university filled in the inventory.ResultsThe alpha coefficients indicated a reliable internal consistency and the test-retest reliability showed a good temporal stability. Correlational analyses revealed that the CRS factor was related to ESR and MCK factors, and these last two were not correlated with each other. After the analysis of variance, the responses relative to ESR and MCK dimensions differed according to gender, but no differences relatively to the academic disciplines considered was found. Concerning the predictive validity, CSF and MCK were correlated with writing performance.ConclusionThe results confirm the validity and reliability of the MCPW-I which constitutes a new research tool for the study of metacognitive processes of writing.     

Traffic safety competencies in Peruvian high school students

This study aims to comprehend traffic safety competencies in high school students from two specific regions of Peru, as well as to analyze the differences between both groups. For this purpose, a qualitative study was carried out which consisted of eight focus groups in high schools, three of them in the metropolitan area of Lima (Lima region) and five in the province of Rodríguez de Mendoza (the Amazonas region). The focus groups were constituted by 73 students enrolled in the last three years of high school, named 3rd, 4th and 5th grade of secondary education, whose ages ranged from 14 to 18 years. The collected data were analyzed employing elements of Grounded Theory and Axiomatic Set Theory. The main findings reveal that most participants have a general understanding of traffic rules and the proper use of the components of traffic safety. Thus, they understand the traffic rules as road signs that regulate the behavior of drivers and pedestrians. In addition, participants know the proper procedure to follow at traffic lights, pedestrian walkways and how to use seat belts. They also identify the driver’s tiredness/drowsiness, and the consumption of alcohol and drugs as potential factors that cause traffic accidents. No causes that are linked to pedestrian behavior were identified, and only participants from the Amazonas region mentioned speeding as a contributing factor. On the other hand, participants report that in practical situations they engage in risky behavior and fail to comply with transit rules. They justify this behavior by citing poor infrastructure, vehicle malfunctions, and the need get around quickly in order to get things done. Finally, the implications of the results are discussed and compared to the content and implementation of the Peruvian Road Safety Educational Program (PENSV, for its acronym in Spanish), providing recommendations that can aid evidence‐based policy making in Peru.     

Socially emotional brain-inspired cognitive architecture framework for artificial intelligence

Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.     

Parents’ moral intentions towards antisocial parent behaviour: An identity approach in youth sport

ObjectivesGrounded in personal and social identity theory, the purpose of this study was to examine whether parents’ personal and social identity perceptions influence their moral intentions towards antisocial parent behaviour in a youth sport setting.DesignParents of competitive youth ice hockey players (N = 437) read a vignette that either described a parent from the participant’s own team (i.e., ingroup), or a parent from an opposing team (i.e., outgroup) acting antisocially towards an athlete from the participant’s own team, an opposing athlete, or their own child. Parents were asked whether they would respond to the antisocial behaviour in the form of direct or indirect criticism or report the behaviour to the coach or to the league.ResultsParents were more likely to directly criticize ingroup parents than outgroup parents and they were more likely to indirectly criticize outgroup parents than ingroup parents. Further, parents with stronger social identities reported higher intentions to indirectly criticize an outgroup parent. There were no main effects for reporting behaviour (to coach or league), and personal identity did not moderate relationships with moral intentions towards antisocial behaviour.ConclusionBy providing parents with a situation that includes antisocial parent behaviour in the immediate youth sport environment, novel insight was gathered with regard to what contextual elements might drive parents’ intention to criticize, but not report antisocial behaviour.     

The continuing need for disinterested research

For scientific knowledge to be trustworthy, it needs to be dissociated from material interests. Disinterested research also performs other important non-instrumental roles. In particular, academic science has traditionally provided society with reliable, imaginative public knowledge and independent, self-critical expertise. But this type of science is not compatible with the practice of instrumental research, which is typically proprietary, prosaic, pragmatic and partisan. With ever-increasing dependence on commercial or state funding, all modes of knowledge production are merging into a new, ‘post-academic’ research culture which is dominated by utilitarian goals. Growing concern about conflicts of interest is thus a symptom of deep-seated malaise in science and medicine. An expanded version of this paper was presented at an International Conference on “Conflict of Interest and its Significance in Science and Medicine” held in Warsaw, Poland on 5–6 April, 2002.     

Professional Autonomy and the Normative Structure of Medical Practice

Professional autonomy is often described as a claim of professionalsthat has to serve primarily their own interests. However, it can also beseen as an element of a professional ideal that can function as astandard for professional, i.e. medical practice. This normativeunderstanding of the medical profession and professional autonomy facesthree threats today. 1) Internal erosion of professional autonomy due toa lack of internal quality control by the medical profession; 2)the increasing upward pressure on health care expenses that calls for ahealth care policy that could imply limitations for the professionalautonomy of physicians; 3) a distorted understanding of theprofession as being based on a formal type of knowledge and relatedtechnology, in which other normative dimensions of medical practice areneglected and which frustrates meaningful communication betweenphysicians and patients. To answer these threats a normative structureanalysis of medical practice is presented, that indicates whichprinciples and norms are constitutive for medical practice. It isconcluded that professional autonomy, normatively understood, should bemaintained to avoid the lure of the technological imperative and toprotect patients against third parties' pressure to undertreatment.However, this professional autonomy can only be maintained if members ofthe profession subject their activities and decisions to a criticalevaluation by other members of the profession and by patients and ifthey continue to critically reflect on the values that regulate today'smedicine.     

Young infants' expectations about hidden objects

Infants aged 3-5 months (mean of approximately 4 months) were given a novel anticipatory looking task to test object permanence understanding. They were trained to expect an experimenter to retrieve an object from behind a transparent screen upon hearing a cue ("Doors up, here comes the hand"). The experimenter then hid the object behind one of two opaque screens and after either 2 or 8s gave the "doors up" cue. Infants looked to the correct location after the two-second delay, but not after the eight-second delay. This indicates a brief memory that the object is present behind the occluder. The study provides converging evidence that infants grasp object permanence by a young age. The novel anticipatory looking paradigm helps rule out counter-explanations applied to violation-of-expectation tasks.     

Effects of domain-specific knowledge on memory for serial order

Knowledge concerning domain-specific regularities in sequential structure has long been known to affect recall for serial order. However, very little work has been done toward specifying the exact role such knowledge plays. The present article proposes a theory of serial recall in structured domains, based on Bayesian decision theory and a set of representational assumptions proceeding from recent computational and neurophysiologic research. The theory suggests that the accuracy with which a target sequence will be recalled is influenced by two interacting factors: (1) the 'goodness' of the sequence, i.e. its fit with the sequencing constraints that characterize its source domain, and (2) the sequence's neighborhood relations, i.e. the degree to which it resembles other sequences in the source domain. A specific prediction of the theory is that recall will be relatively poor for target lists with high-goodness near neighbors (the good neighbor effect). This prediction was tested and confirmed in an experiment evaluating recall for sequences based on an artificial grammar.