Like previous educational technologies, artificial intelligence in education threatens to disrupt the status quo, with proponents highlighting the potential for efficiency and democratization, and skeptics warning of industrialization and alienation. However, unlike frequently discussed applications of AI in autonomous vehicles, military and cybersecurity concerns, and healthcare, AI’s impacts on education policy and practice have not yet captured the public’s attention. This paper, therefore, evaluates the status of AIEd, with special attention to intelligent tutoring systems and anthropomorphized artificial educational agents. I (...) discuss AIEd’s purported capacities, including the abilities to simulate teachers, provide robust student differentiation, and even foster socio-emotional engagement. Next, to situate developmental pathways for AIEd going forward, I contrast sociotechnical possibilities and risks through two idealized futures. Finally, I consider a recent proposal to use peer review as a gatekeeping strategy to prevent harmful research. This proposal serves as a jumping off point for recommendations to AIEd stakeholders towards improving their engagement with socially responsible research and implementation of AI in educational systems. (shrink)

Social robots are gradually entering children’s lives in a period when children learn about social relationships and exercise prosocial behaviors with parents, peers, and teachers. Designed for long-term emotional engagement and to take the roles of friends, teachers, and babysitters, such robots have the potential to influence how children develop empathy. This article presents a review of the literature in the fields of human–robot interaction, psychology, neuropsychology, and roboethics, discussing the potential impact of communication with social robots on children’s social (...) and emotional development. The critical analysis of evidence behind these discussions shows that, although robots theoretically have high chances of influencing the development of empathy in children, depending on their design, intensity, and context of use, there is no certainty about the kind of effect they might have. Most of the analyzed studies, which showed the ability of robots to improve empathy levels in children, were not longitudinal, while the studies observing and arguing for the negative effect of robots on children’s empathy were either purely theoretical or dependent on the specific design of the robot and the situation. Therefore, there is a need for studies investigating the effects on children’s social and emotional development of long-term regular and consistent communication with robots of various designs and in different situations. (shrink)

Many of our daily activities are now made more convenient and efficient by virtual assistants, and the day when they can be designed to instruct us in certain skills, such as those needed to make moral judgements, is not far off. In this paper we ask to what extent it would be ethically acceptable for these so-called virtual assistants for moral enhancement to use subtle strategies, known as “nudges”, to influence our decisions. To achieve our goal, we will first characterise (...) nudges in their standard use and discuss the debate they have generated around their possible manipulative character, establishing three conditions of manipulation. Secondly, we ask whether nudges can occur in moral virtual assistants that are not manipulative. After critically analysing some proposed virtual assistants, we argue in favour of one of them, given that by pursuing an open and neutral moral enhancement, it promotes and respects the autonomy of the person as much as possible. Thirdly, we analyse how nudges could enhance the functioning of such an assistant, and evaluate them in terms of their degree of threat to the subject’s autonomy and their level of transparency. Finally, we consider the possibility of using motivational nudges, which not only help us in the formation of moral judgements but also in our moral behaviour. (shrink)

Background: The surge in the development of social robots gives rise to an increased need for systematic methods of assessing attitudes towards robots. Aim: This study presents the development of a questionnaire for assessing attitudinal stance towards social robots: the ASOR. Methods: The 37-item ASOR questionnaire was developed by a task-force with members from different disciplines. It was founded on theoretical considerations of how social robots could influence five different aspects of relatedness. Results: Three hundred thirty-nine people responded to the (...) survey. Factor analysis of the ASOR yielded a three-factor solution consisting of a total of 25 items: “ascription of mental capacities”, “ascription of socio-practical capacities”, and “ascription of socio-moral status”. This data was further triangulated with data from interviews (n = 10). Conclusion: the ASOR allows for assessment of three distinct facets of ascription of capacities to social robots and offers a new type of assessment of attitudes towards social robots. It appeared that ASOR not only assesses ascription of capacities to social robots but it also gauged overall positive attitudes towards social robots. (shrink)