Towards Trusting the Ethical Evolution of Autonomous Dynamic Ecosystems
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Proceedings |
| Conference | IEEE/ACM International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI) |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1145/3526073.3527585 |
| Keywords | Ethics; Ecosystems; Computer architecture; Behavioral sciences; Artificial intelligence; Software engineering |
| Description | 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. |
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