@inproceedings{f2976db2ed3d4adca9f6779e48202efb,
title = "Trustworthy intelligent systems: an ontological model",
abstract = "Nowadays, there is an increased use of AI-based technologies in applications ranging from smart cities to smart manufacturing, from intelligent agents to autonomous vehicles. One of the main challenges posed by all these intelligent systems is their trustworthiness. Hence, in this work, we study the attributes underlying Trustworthy Artificial Intelligence (TAI), in order to develop an ontological model providing an operational definition of trustworthy intelligent systems (TIS). Our resulting Trustworthy Intelligent System Ontology (TISO) has been successfully applied in context of computer vision applications.",
keywords = "intelligent systems, software engineering, ontological domain analysis and modeling, knowledge engineering, knowledge representation, interoperability, decision support systems, dependability, transparency, accountability, trustworthiness, unbiased machine learning, explainable artificial intelligence (XAI), trustworthy artificial intelligence (TAI), beneficial AI, ethical AI, Society 5.0",
author = "Olszewska, {J. I.}",
year = "2022",
month = oct,
day = "24",
doi = "10.5220/0011552700003335",
language = "English",
series = "Conference Proceedings",
publisher = "SciTePress",
pages = "207--214",
booktitle = "Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD",
address = "Portugal",
}
