Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems

Cioroaica, Emilia, Buhnova, Barbora and Tomur, Emrah (2022) Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems. In: Proceedings - Workshop on Software Engineering for Responsible AI, SE4RAI 2022. Proceedings - Workshop on Software Engineering for Responsible AI, SE4RAI 2022 . The Institute of Electrical and Electronics Engineers (IEEE), USA, pp. 13-16. ISBN 9781450393195

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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.

Item Type:	Book Section
Additional Information:	Funding Information: This work was supported by the project BIECO (www.bieco.org) that received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 952702, and from ERDF/ESF "CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence" (No. CZ.02.1.01/0.0/0.0/16_ 019/0000822). Publisher Copyright: © 2022 ACM.
Uncontrolled Keywords:	ai,artificial agent,digital ecosystems,ethics,morality,simulation,trust,artificial intelligence,software ,/dk/atira/pure/subjectarea/asjc/1700/1702
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	24 Aug 2022 15:30
Last Modified:	06 Jan 2023 11:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87603
DOI:	10.1145/3526073.3527585

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