Results for 'Rune Nyrup'

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Rune Nyrup
Cambridge University
  1. The Motivations and Risks of Machine Ethics.Stephen Cave, Rune Nyrup, Karina Vold & Adrian Weller - 2019 - Proceedings of the IEEE 107 (3):562-574.
    Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, even if it were to (...)
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  2. The Chinese Rune Argument.Barry Smith - 2001 - Philosophical Explorations 4 (2):66-74.
    Searle’s tool for understanding culture, law and society is the opposition between brute reality and institutional reality, or in other words between: observer-independent features of the world, such as force, mass and gravitational attraction, and observer-relative features of the world, such as money, property, marriage and government. The question posed here is: under which of these two headings do moral concepts fall? This is an important question because there are moral facts – for example pertaining to guilt and responsibility – (...)
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  3. The Production of Trust During Organizational Change.Rune Lines, Marcus Selart, Bjarne Espedal & Svein Tvedt Johansen - 2005 - Journal of Change Management 5 (2):221-245.
    This paper investigates the relationships between organizational change and trust in management. It is argued that organizational change represents a critical episode for the production and destruction of trust in management. Although trust in management is seen as a semi stable psychological state, changes in organizations make trust issues salient and organizational members attend to and process trust relevant information resulting in a reassessment of their trust in management. The direction and magnitude of change in trust is dependent on a (...)
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  4. Participation and Organizational Commitment During Change: From Utopist to Realist Perspectives.Rune Lines & Marcus Selart - 2013 - In Skipton Leonard, Rachel Lewis, Arthur Freedman & Jonathan Passmore (eds.), Handbook of the psychology of leadership, change, and organizational development. Wiley-Blackwell. pp. 289-313.
    Trust has a great potential for furthering our understanding of organizational change and learning. This potential however remains largely untapped. It is argued that two reasons as for why this potential remains unrealized are: (i) A narrow conceptualization of change as implementation and (ii) an emphasis on direct and aggregated effects of individual trust to the exclusion of other effects. It is further suggested that our understanding of the effects of trust on organizational change, should benefit from including effects of (...)
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  5.  50
    Book Review: Rune Ervik; Tord Skogedal Lindén : Making Of Ageing Policy. Theory and Practice in Europe; and Sarah Harper, Kate Hamblin : International Handbook on Ageing and Public Policy. [REVIEW]Andrzej Klimczuk - forthcoming - Pol-Int.Org.
    A. Klimczuk, Book review: S. Harper, K. Hamblin, International Handbook on Ageing and Public Policy, Edward Elgar, Cheltenham, UK, Northampton, MA 2014 and R. Ervik, T.S. Lindén, The Making of Ageing Policy. Theory and Practice in Europe, Edward Elgar, Cheltenham, UK, Northampton, MA 2013., "Pol-int.org" 2017, https://www.pol-int.org/en/publications/international-handbook-ageing-and-public-policy#r5581.
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  6. Scientific Knowledge in the Age of Computation.Sophia Efstathiou, Rune Nydal, Astrid LÆgreid & Martin Kuiper - 2019 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 34 (2):213-236.
    With increasing publication and data production, scientific knowledge presents not simply an achievement but also a challenge. Scientific publications and data are increasingly treated as resources that need to be digitally ‘managed.’ This gives rise to scientific Knowledge Management : second-order scientific work aiming to systematically collect, take care of and mobilise first-hand disciplinary knowledge and data in order to provide new first-order scientific knowledge. We follow the work of Leonelli, Efstathiou and Hislop in our analysis of the use of (...)
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