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Switch to: Citations
References in:
Safety by simulation: theorizing the future of robot regulation
AI and Society 39 (1):139-154 (2024)
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Journal of Political Philosophy, Volume 30, Issue 2, Page 209-229, June 2022. |
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Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) |
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This article discusses mechanisms and principles for assignment of moral responsibility to intelligent robots, with special focus on military robots. We introduce the concept autonomous power as a new concept, and use it to identify the type of robots that call for moral considerations. It is furthermore argued that autonomous power, and in particular the ability to learn, is decisive for assignment of moral responsibility to robots. As technological development will lead to robots with increasing autonomous power, we should be (...) |
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This article addresses the problematic perspectives of drone culture. In critiquing focus on the drone’s apparent ‘autonomy’, it argues that such devices function as part of a socio-technical network. They are relational parts of human–machine interaction that, in our changing geopolitical realities, have a powerful influence on politics, reputation and warfare. Drawing on Žižek’s conception of parallax, the article stresses the importance of culture and perception in forming the role of the drone in widening power asymmetries. It examines how perceptions (...) |
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Robots are slowly, but certainly, entering people's professional and private lives. They require the attention of regulators due to the challenges they present to existing legal frameworks and the new legal and ethical questions they raise. This paper discusses four major regulatory dilemmas in the field of robotics: how to keep up with technological advances; how to strike a balance between stimulating innovation and the protection of fundamental rights and values; whether to affirm prevalent social norms or nudge social norms (...) |
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Robotics can be seen as a cognitive technology, assisting us in understanding various aspects of autonomy. In this paper I will investigate a difference between the interpretations of autonomy that exist within robotics and philosophy. Based on a brief review of some historical developments I suggest that within robotics a technical interpretation of autonomy arose, related to the independent performance of tasks. This interpretation is far removed from philosophical analyses of autonomy focusing on the capacity to choose goals for oneself. (...) |
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There is general consensus that explainable artificial intelligence is valuable, but there is significant divergence when we try to articulate why, exactly, it is desirable. This question must be distinguished from two other kinds of questions asked in the XAI literature that are sometimes asked and addressed simultaneously. The first and most obvious is the ‘how’ question—some version of: ‘how do we develop technical strategies to achieve XAI?’ Another question is specifying what kind of explanation is worth having in the (...) |
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To operate in an unpredictable environment, a vehicle with advanced driving assistance systems, such as a robot or a drone, not only needs to register its surroundings but also to combine data from different sensors into a world model, for which it employs filter algorithms. Such world models, as this article argues with reference to the SLAM problem in robotics, consist of nothing other than probabilities about states and events arising in the environment. The model, thus, contains a virtuality of (...) |
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