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  • Synthetic consequential reasoning: Facilitating the design of synthetic morality in highly automated systems via a multidimensional-scalar framework

Galdon, Fernando and Hall, Ashley, 2020, Book Section, Synthetic consequential reasoning: Facilitating the design of synthetic morality in highly automated systems via a multidimensional-scalar framework In: Ahram, Tareq, Taiar, Redha, Gremeaux-Bader, Vincent and Aminian, Kamiar, (eds.) Human Interaction, Emerging Technologies and Future Applications II. IHIET 2020. Advances in Intelligent Systems and Computing, 1152 . Springer, Cham, Switzerland, pp. 501-506. ISBN 978-3-030-44266-8

Abstract or Description:

This paper reviews the four fundamental frameworks available in normative ethics to underpin the most suitable strategy to facilitate the design of synthetic morality in the context of Highly Automated Systems (HAS). Based on research findings, it will present an updated multidimensional-scalar system of levels of automation specifically adapted to Highly Automated Systems (HAS) in the context of Human-Human-Interaction (HHI). This framework integrates the variables of autonomy, accountability, reparation, actions, con- texts, access, and inferences to build and facilitate the design of synthetic morality on highly automated unsupervised systems form a consequential perspective. As part of this process, a form of calculation emerges to facilitate the calibration of moral computational reasoning in the context of HAS.

Subjects: Creative Arts and Design > W200 Design studies
School or Centre: School of Design
Identification Number or DOI: https://doi.org/10.1007/978-3-030-44267-5_76
Date Deposited: 27 Apr 2020 15:13
Last Modified: 01 May 2020 15:32
URI: https://researchonline.rca.ac.uk/id/eprint/4364
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