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  1. Technology of culture: the roadmap of a journey undertaken. [REVIEW]Parthasarathi Banerjee - 2007 - AI and Society 21 (4):411-419.
    Artificial intelligence (AI) impacts society and an individual in many subtler and deeper ways than machines based upon the physics and mechanics of descriptive objects. The AI project involves thus culture and provides scope to liberational undertakings. Most importantly AI implicates human ethical and attitudinal bearings. This essay explores how previous authors in this journal have explored related issues and how such discourses have provided to the present world a roadmap that can be followed to engage in discourses with ethical (...)
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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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  • Human-centred decision support: The IDIOMS system. [REVIEW]J. G. Gammack, T. C. Fogarty, S. A. Battle, N. S. Ireson & J. Cui - 1992 - AI and Society 6 (4):345-366.
    The requirement for anthropocentric, or human-centred decision support is outlined, and the IDIOMS management information tool, which implements several human-centred principles, is described. IDIOMS provides a flexible decision support environment in which applications can be modelled using both ‘objective’ database information, and user-centred ‘subjective’ and contextual information. The system has been tested on several real applications, demonstrating its power and flexibility.
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  • From participatory design to participating problem solving: Enhancing system adaptability through user modelling. [REVIEW]Zhengxin Chen - 1993 - AI and Society 7 (3):238-247.
    The issue on the role of users in knowledge-based systems can be investigated from two aspects: the design aspect and the functionality aspect. Participatory design is an important approach for the first aspect while system adaptability supported by user modelling is crucial to the second aspect. In the article, we discuss the second aspect. We view a knowledge-based computer system as the partner of users' problem-solving process, and we argue that the system functionality can be enhanced by adapting the behaviour (...)
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