Ethics and Information Technology 6 (3):175-183 (2004)
Abstract |
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 realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription.
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Keywords | artificial intelligence autonomous robots learning machines liability moral responsibility |
Categories | (categorize this paper) |
DOI | 10.1007/s10676-004-3422-1 |
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References found in this work BETA
The Misguided Marriage of Responsibility and Autonomy.Marina A. L. Oshana - 2002 - The Journal of Ethics 6 (3):261-280.
Citations of this work BETA
The Ethics of Algorithms: Mapping the Debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2).
On the Ethics of Algorithmic Decision-Making in Healthcare.Thomas Grote & Philipp Berens - 2020 - Journal of Medical Ethics 46 (3):205-211.
Mind the Gap: Responsible Robotics and the Problem of Responsibility.David J. Gunkel - 2020 - Ethics and Information Technology 22 (4):307-320.
Robots, Law and the Retribution Gap.John Danaher - 2016 - Ethics and Information Technology 18 (4):299–309.
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