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Unpredictable robots elicit responsibility attributions

Published online by Cambridge University Press:  05 April 2023

Matija Franklin
Affiliation:
Experimental Psychology Department, University College London, London WC1E 6BT, UK matija.franklin@ucl.ac.uk; https://www.ucl.ac.uk/pals/research/experimental-psychology/person/matija-franklin/ d.lagnado@ucl.ac.uk; https://www.ucl.ac.uk/pals/research/experimental-psychology/person/david-lagnado/
Edmond Awad
Affiliation:
Economics Department, University of Exeter, Exeter EX4 4PU, UK e.awad@exeter.ac.uk; https://www.edmondawad.me
Hal Ashton
Affiliation:
Computer Science Department, University College London, 66-72 Gower Street, London WC1E 6EA, UK ucabha5@ucl.ac.uk; https://algointent.com/
David Lagnado
Affiliation:
Experimental Psychology Department, University College London, London WC1E 6BT, UK matija.franklin@ucl.ac.uk; https://www.ucl.ac.uk/pals/research/experimental-psychology/person/matija-franklin/ d.lagnado@ucl.ac.uk; https://www.ucl.ac.uk/pals/research/experimental-psychology/person/david-lagnado/

Abstract

Do people hold robots responsible for their actions? While Clark and Fischer present a useful framework for interpreting social robots, we argue that they fail to account for people's willingness to assign responsibility to robots in certain contexts, such as when a robot performs actions not predictable by its user or programmer.

Information

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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