Millan-Blanquel, L., Veres, S.M. orcid.org/0000-0003-0325-0710 and Purshouse, R.C. orcid.org/0000-0001-5880-1925 (2020) Ethical considerations for a decision making system for autonomous vehicles during an inevitable collision. In: 2020 28th Mediterranean Conference on Control and Automation (MED). 2020 28th Mediterranean Conference on Control and Automation (MED), 15-18 Sep 2020, Saint-Raphaël, France. IEEE ISBN 9781728157436
Abstract
The automotive industry is heading towards the introduction of fully autonomous vehicles. However before these type of vehicles are commercially available at mass scale, some issues need to be solved. A major issue is the ethics involved in the decision-making during an accident; this paper presents an analysis of how to solve this issue. The proposal is a pre-programmed system with different ethical settings based on six formal ethical theories. For the implementation, eight ethical concerns are defined and ordered according to each theory. These concerns are defined in terms of harm to self and harm to others. The ethical concerns are used as a guideline to define the level of importance of each person or object in an accident scenario. With the proposed system, the vehicle will be partially tailored to the preferences of different users while still being bounded by legal requirements to avoid any misuse.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | autonomous vehicles; ethics; decision-making; safety systems |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Nov 2020 08:58 |
Last Modified: | 01 Sep 2021 00:39 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/med48518.2020.9183263 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167392 |