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  1. Robotizing meaningful work.Tuuli Turja, Jaana Minkkinen & Saija Mauno - 2022 - Journal of Information, Communication and Ethics in Society 20 (2):177-192.
    PurposeRobots have a history of replacing human labor in undesirable, dirty, dull and dangerous tasks. With robots now emerging in academic and human-centered work, this paper aims to investigate psychological implications of robotizing desirable and socially rewarding work.Design/methodology/approachTesting the holistic stress model, this study examines educational professionals’ stress responses as mediators between robotization expectations and future optimism in life. The study uses survey data on 2,434 education professionals.FindingsRespondents entertaining robotization expectations perceived their work to be less meaningful and reported more (...)
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  • Out of the laboratory and into the classroom: the future of artificial intelligence in education.Daniel Schiff - 2021 - AI and Society 36 (1):331-348.
    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 (...)
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  • Artificial intelligence, culture and education.Sergey B. Kulikov & Anastasiya V. Shirokova - 2021 - AI and Society 36 (1):305-318.
    Sequential transformative design of research :224–235, 2015; Groleau et al. in J Mental Health 16:731–741, 2007; Robson and McCartan in Real world research: a resource for users of social research methods in applied settings, Wiley, Chichester, 2016) allows testing a group of theoretical assumptions about the connections of artificial intelligence with culture and education. In the course of research, semiotics ensures the description of self-organizing systems of cultural signs and symbols in terms of artificial intelligence as a special set of (...)
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  • A probabilistic theory of trust concerning artificial intelligence: can intelligent robots trust humans?Saleh Afroogh - 2022 - AI and Ethics 2 (3).
    In this paper, I argue for a probabilistic theory of trust, and the plausibility of “trustworthy AI” in which we trust (as opposed to mere reliance). I show that the current trust theories cannot accommodate trust pertaining to AI, and I propose an alternative probabilistic theory, which accounts for the four major types of AI-related trust: an AI agent’s trust in another AI agent, a human agent’s trust in an AI agent, an AI agent’s trust in a human agent, and (...)
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