The responsibility gap: Ascribing responsibility for the actions of learning automata

Ethics and Information Technology 6 (3):175-183 (2004)
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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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10.1007/s10676-004-3422-1

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Citations of this work

Robots, Law and the Retribution Gap.John Danaher - 2016 - Ethics and Information Technology 18 (4):299–309.

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References found in this work

Responsibility and Control: A Theory of Moral Responsibility.John Martin Fischer & Mark Ravizza - 1998 - New York: Cambridge University Press. Edited by Mark Ravizza.

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