An analysis of machine ethics from the perspective of autonomy

Mario Verdicchio

doi:10.1007/978-3-319-61043-6_9

An analysis of machine ethics from the perspective of autonomy

Mario Verdicchio

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Abstract

Machine ethics has been proposed as a new discipline at the intersection of ethics and computer science, aimed at investigating computational models of ethical principles to be embedded into the autonomous software and robotic systems to come. This work provides a view on the current research on autonomous systems and aims to show that classic ethics guiding human researchers is what is really needed.

Original language	English
Title of host publication	Philosophy and Computing
Subtitle of host publication	Essays in Epistemology, Philosophy of Mind, Logic, and Ethics
Editors	Thomas Powers
Place of Publication	Cham, Switzerland
Publisher	Springer International Publishing AG
Pages	179-191
Number of pages	13
ISBN (Electronic)	978-3-319-61043-6
ISBN (Print)	978-3-319-61042-9
DOIs	https://doi.org/10.1007/978-3-319-61043-6_9
Publication status	E-pub ahead of print - 27 Oct 2017

Publication series

Name	Philosophical Studies
Publisher	Springer
Volume	128
ISSN (Print)	0921-8599
ISSN (Electronic)	2542-8349

Keywords

Autonomy
Ethics
Artificial Intelligence
Planning
Simulation
Robotic Systems

Access to Document

10.1007/978-3-319-61043-6_9

Cite this

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An analysis of machine ethics from the perspective of autonomy. / Verdicchio, Mario.
Philosophy and Computing: Essays in Epistemology, Philosophy of Mind, Logic, and Ethics. ed. / Thomas Powers. Cham, Switzerland: Springer International Publishing AG, 2017. p. 179-191 (Philosophical Studies; Vol. 128).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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KW - Artificial Intelligence

KW - Planning

KW - Simulation

KW - Robotic Systems

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An analysis of machine ethics from the perspective of autonomy

Abstract

Publication series

Keywords

Access to Document

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