@inproceedings{18a0254fffa1426f9623b5310677b5ff,
title = "Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems",
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. ",
keywords = "AI, Artificial Agent, Digital Ecosystems, Ethics, Morality, Simulation, Trust",
author = "Emilia Cioroaica and Barbora Buhnova and Emrah Tomur",
note = "Funding Information: This work was supported by the project BIECO (www.bieco.org) that received funding from the European Union{\textquoteright}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: {\textcopyright} 2022 ACM.; 1st IEEE/ACM International Workshop on Software Engineering for Responsible AI, SE4RAI 2022 ; Conference date: 17-05-2022",
year = "2022",
doi = "10.1145/3526073.3527585",
language = "English",
series = "Proceedings - Workshop on Software Engineering for Responsible AI, SE4RAI 2022",
publisher = "The Institute of Electrical and Electronics Engineers (IEEE)",
pages = "13--16",
booktitle = "Proceedings - Workshop on Software Engineering for Responsible AI, SE4RAI 2022",
address = "United States",
}