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  1. Professional ethics and social responsibility: military work and peacebuilding.M. A. Hersh - 2022 - AI and Society 37 (4):1545-1561.
    This paper investigates four questions related to ethical issues associated with the involvement of engineers and scientists in 'military work', including the influence of ethical values and beliefs, the role of gendered perspectives and moves beyond the purely technical. It fits strongly into a human (and planet)-centred systems perspective and extends my previous AI and Society papers on othering and narrative ethics, and ethics and social responsibility. It has two main contributions. The first involves an analysis of the literature through (...)
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  • On two AI traditions.Satinder P. Gill - 1988 - AI and Society 2 (4):321-340.
    To understand the role of expert systems as a medium for transferring knowledge and skills within organisations requires an understanding of the nature of expertise within working life contexts. Central to this issue of transfer is the debate on the nature of tacit/implicit knowledge and the problem of formalising it in explicit form. This paper considers the British approach to the development of knowledge-based systems, which is regarded as being predominantly rationalistic, and compares it with the Scandinavian approach, which is (...)
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  • Theorizing change in artificial intelligence: inductivising philosophy from economic cognition processes. [REVIEW]Debasis Patnaik - 2015 - AI and Society 30 (2):173-181.
    Economic value additions to knowledge and demand provide practical, embedded and extensible meaning to philosophizing cognitive systems. Evaluation of a cognitive system is an empirical matter. Thinking of science in terms of distributed cognition (interactionism) enlarges the domain of cognition. Anything that actually contributes to the specific quality of output of a cognitive system is part of the system in time and/or space. Cognitive science studies behaviour and knowledge structures of experts and categorized structures based on underlying structures. Knowledge representation (...)
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  • From human-centred to human-context centred approach: looking back over 'the hills', what has been gained and lost? [REVIEW]Lauge Baungaard Rasmussen - 2007 - AI and Society 21 (4):471-495.
    The cornerstone of the human-centred tradition lies in two notions: socially useful production and human machine symbiosis. However, only the latter became in focus in the successive user-centred design approaches. The paper makes a critical ‘flash-back’ to various human centred design approaches since the 1970s. In addition, it explores the sustainability challenges facing the current situation and suggests that ‘human-centredness’ should be extended to ‘human-context centred’ approach in order to recognize the challenges of the sustainability. Finally, the paper discuss the (...)
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  • Machines, computers, dialectics: A new look at human intelligence. [REVIEW]Gerald Heidegger - 1992 - AI and Society 6 (1):27-40.
    The more recent computer developments cause us to take a new look at human intelligence. The prevailing occidental view of human intelligence represents a very one-sided, logocentric approach, so that it is becoming more urgent to look for a more complete view. In this way, specific strengths of so-called human information processing are becoming particularly evident in a new way. To provide a general substantiation for this view, some elements of a phenomenological model for a dialectical coherence of human expressions (...)
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  • Automate or innervate? The role of knowledge in advanced manufacturing systems.J. Martin Corbett - 1989 - AI and Society 3 (3):198-208.
    This chapter examines the role of shopfloor knowledge in the operation of advanced manufacturing systems. Design trends towards full automation are contrasted with those toward hybrid, human-centred systems with particular emphasis on job design and the development and reproduction of knowledge. The chapter concludes with a short discussion of the problems inherent in hybrid design.
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  • Reflections on participatory design.Karamjit S. Gill - 1989 - AI and Society 3 (4):297-314.
    The human-centred debate in Britain focuses on the idea of human-machine symbiosis, and the “Dialogue” debate in Scandinavia focuses on the deep understanding of human communication, through a process of inner reflection. Both of these debates provide a framework for the participatory design of AI systems.The emergence of “social Europe” creates the desirability for a sharing of social and cultural knowledge and resources among the citizens of Europe. This raises the possibility of exploiting the potential of new technology for the (...)
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  • Industrial cultural determinants of technological developments: Skill transfer or power transfer? [REVIEW]Felix Rauner & Klaus Ruth - 1989 - AI and Society 3 (2):88-102.
    This paper discusses the social effects resulting from the transfer of knowledge and skill both in the spheres of production and machine design. Relevant design determinants and their impact on technological developments are discussed within the theoretical framework of industrial cultures. Two types of skill transfer are analysed in connection with different production philosophies — one more Tayloristic, the other more workshop-oriented. Finally, the paper discusses the relation of both philosophies to the requirements of future production concepts.
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  • Mediation and communication of information in the cultural interface.Satinder P. Gill - 1999 - AI and Society 13 (3):218-234.
    In man-machine communication, there is a relationship between what may be described as tacit (human) and explicit (machine) knowledge. The tacit lies in practice and the explicit in the formulation of the processes and content of this practice. However, when a human communicates with another human face to face, we may describe them as communicating aspects of the tacit and explicit dimension of their knowledge, i.e. the expression and its background of meaning for the particular situation. When this is unsuccessful (...)
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  • Human experts and expert systems: A view from the shop-floor. [REVIEW]Gerald Heidegger - 1989 - AI and Society 3 (1):47-57.
    For quite some time, the research in artificial intelligence has focused on expert systems, because here are to be found practical applications at the experimental stage which may soon become widespread. This focus makes more pressing the need to link the debate about the fundamental efficiency of artificial intelligence with those activities that aim at the application of specialized expert systems. In this paper, I begin by considering the stages and the development of human expertise. As a frame of reference (...)
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