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  1. 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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  • Reflective design of technology for human needs.Peter Brödner - 2013 - AI and Society 28 (1):27-37.
    Inspired by an economic interpretation of the Faustus drama allegorically disclosing the ‘alchemical’ nature of modern economy, the paper presents a critical view on the development of technology as concomitant phenomenon of work practices with particular focus on manufacturing. It starts with a theoretical perspective on the dynamics of creating explicit propositional knowledge and its re-appropriation for practical use. This lays the ground for understanding how technical artefacts emerge from and, in turn, affect social practices. It further helps to understand (...)
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  • “Super-intelligent” machine: technological exuberance or the road to subjection.Peter Brödner - 2018 - AI and Society 33 (3):335-346.
    Looking back on the development of computer technology, particularly in the context of manufacturing, we can distinguish three big waves of technological exuberance with a wave length of roughly 30 years: In the first wave, during the 1950s, mainframe computers at that time were conceptualized as “electronic brains” and envisaged as central control unit of an “automatic factory”. Thirty years later, during the 1980s, knowledge-based systems in computer-integrated manufacturing were adored as the computational core of the “unmanned factory”. Both waves (...)
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  • Coping with Descartes’ error in information systems.Peter Brödner - 2019 - AI and Society 34 (2):203-213.
    Coming from Hubert Dreyfus’ recent book ‘‘Retrieving Realism”, the paper presents embodied pre-conceptual perception and representational cognition as two contrasting perspectives on accessing the world. It further characterises the ‘different forms of knowledge emerging from these perspectives and how they dynamically relate to each other. Taking up the Peircean theory of signs and abductive reasoning as methods of discovery, computers are analysed as semiotic machines that formally model and objectify explicit knowledge about social practices and that can be embedded in (...)
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