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Ronald C. Arkin [6]Ron Arkin [1]Ronald Arkin [1]
  1. The Case for Ethical Autonomy in Unmanned Systems.Ronald C. Arkin - 2010 - Journal of Military Ethics 9 (4):332-341.
    The underlying thesis of the research in ethical autonomy for lethal autonomous unmanned systems is that they will potentially be capable of performing more ethically on the battlefield than are human soldiers. In this article this hypothesis is supported by ongoing and foreseen technological advances and perhaps equally important by an assessment of the fundamental ability of human warfighters in today's battlespace. If this goal of better-than-human performance is achieved, even if still imperfect, it can result in a reduction in (...)
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    Robotic Nudges: The Ethics of Engineering a More Socially Just Human Being.Jason Borenstein & Ron Arkin - 2016 - Science and Engineering Ethics 22 (1):31-46.
    Robots are becoming an increasingly pervasive feature of our personal lives. As a result, there is growing importance placed on examining what constitutes appropriate behavior when they interact with human beings. In this paper, we discuss whether companion robots should be permitted to “nudge” their human users in the direction of being “more ethical”. More specifically, we use Rawlsian principles of justice to illustrate how robots might nurture “socially just” tendencies in their human counterparts. Designing technological artifacts in such a (...)
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  3. Robot ethics.Ronald C. Arkin - 2002 - Ethics and Information Technology 4 (4):305-318.
     
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  4. Reactive robotic systems.Ronald C. Arkin - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press. pp. 793--796.
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    Analyzing social situations for human–robot interaction.Alan R. Wagner & Ronald C. Arkin - 2008 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 9 (2):277-300.
    This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, (...)
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