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Ethics of autonomous collective decision-making: The caesar framework
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Aarhus University, Aarhus, Denmark.ORCID iD: 0000-0001-7852-4582
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
2022 (English)In: Science and Engineering Ethics, ISSN 1353-3452, E-ISSN 1471-5546, Vol. 28, no 6, article id 61Article in journal (Refereed) Published
Abstract [en]

In recent years, autonomous systems have become an important research area and application domain, with a significant impact on modern society. Such systems are characterized by different levels of autonomy and complex communication infrastructures that allow for collective decision-making strategies. There exist several publications that tackle ethical aspects in such systems, but mostly from the perspective of a single agent. In this paper we go one step further and discuss these ethical challenges from the perspective of an aggregate of autonomous systems capable of collective decision-making. In particular, in this paper, we propose the Caesar approach through which we model the collective ethical decision-making process of a group of actors—agents and humans, as well as define the building blocks for the agents participating in such a process, namely Caesar agents. Factors such as trust, security, safety, and privacy, which affect the degree to which a collective decision is ethical, are explicitly captured in Caesar. Finally, we argue that modeling the collective decision-making in Caesar provides support for accountability. 

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 28, no 6, article id 61
Keywords [en]
Autonomous systems, Ethical decision-making, Multi-agent systems
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-61155DOI: 10.1007/s11948-022-00414-0ISI: 000888724500002Scopus ID: 2-s2.0-85142483228OAI: oai:DiVA.org:mdh-61155DiVA, id: diva2:1717055
Available from: 2022-12-07 Created: 2022-12-07 Last updated: 2023-04-12Bibliographically approved

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Frasheri, MirgitaStruhar, VaclavPapadopoulos, Alessandro V.Causevic, Aida

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