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 wherein the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour anymore, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine anymore (which is not a realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription.


Type

Journal Article

Volume

6

Date

2004-09

Webpage

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Creators

Matthias, Andreas (Author)

Issue

3

DOI
10.1007/s10676-004-3422-1


Professional Fields