Trustworthy Intelligent Systems: An Ontological Model

J. I. Olszewska

2022

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.

Paper Citation

in Harvard Style

Olszewska J. (2022). Trustworthy Intelligent Systems: An Ontological Model. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 207-214. DOI: 10.5220/0011552700003335

in Bibtex Style

@conference{keod22,
author={J. I. Olszewska},
title={Trustworthy Intelligent Systems: An Ontological Model},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011552700003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Trustworthy Intelligent Systems: An Ontological Model
SN - 978-989-758-614-9
AU - Olszewska J.
PY - 2022
SP - 207
EP - 214
DO - 10.5220/0011552700003335
PB - SciTePress