Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems

CIOROAICA, Emilia, Barbora BÜHNOVÁ and Emrah TOMUR. Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems. Online. In IEEE/ACM International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI). Pittsburgh, USA: ACM, 2022, p. 13-16. ISBN 978-1-6654-6235-8. Available from: https://dx.doi.org/10.1145/3526073.3527585.

Basic information

• Original name: Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems
• Authors: CIOROAICA, Emilia (276 Germany), Barbora BÜHNOVÁ (203 Czech Republic, guarantor, belonging to the institution) and Emrah TOMUR (792 Turkey).
• Edition: Pittsburgh, USA, IEEE/ACM International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI), p. 13-16, 4 pp. 2022.
• Publisher: ACM

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• RIV identification code: RIV/00216224:14330/22:00126611
• Organization unit: Faculty of Informatics
• ISBN: 978-1-6654-6235-8
• Doi: http://dx.doi.org/10.1145/3526073.3527585
• UT WoS: 000853488100003
• Keywords in English: Ethics; Ecosystems; Computer architecture; Behavioral sciences; Artificial intelligence; Software engineering
• Tags: International impact, Reviewed

Abstract

Until recently, systems and networks have been designed to implement established actions within known contexts. However, gaining the human trust in system behavior requires development of artificial ethical agents proactively acting outside fixed context boundaries for mitigating dangerous situations in which other interacting entities find themselves. A proactive altruistic behavior oriented towards removing danger needs to rely on predictive awareness of a dangerous situation. Differentthatcurrentapproachesfordesigningcognitivearchitectures, in this paper, we introduce a method that enables the creation of artificial altruistic trusted behavior together with an architecture of the framework that enables its implementation.

Links

• CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU(CEP code: EF16_019/0000822): Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)

Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research

• EF16_019/0000822, research and development project: Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur