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

Explore this paper's citation graph

Summary

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.

Type
article
Published
2004-09-01
Cited by
942
References
26

Keywords

Ascription, Automaton, Computer science, Operator (biology), Social responsibility

References

Cited by

Related papers