Trustworthy intelligent systems: an ontological model

J. I. Olszewska

doi:10.5220/0011552700003335

Trustworthy intelligent systems: an ontological model

J. I. Olszewska^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
Publisher	SciTePress
Pages	207-214
Number of pages	8
ISBN (Electronic)	9789897586149
DOIs	https://doi.org/10.5220/0011552700003335
Publication status	Published - 24 Oct 2022

Publication series

Name	Conference Proceedings
Publisher	SciTePress
ISSN (Print)	2184-3228

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 16 Peace, Justice and Strong Institutions

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

Access to Document

10.5220/0011552700003335Licence: CC BY-NC-ND

2022 10 07 Olszewska Trustworthy acceptedAccepted author manuscript, 659 KBLicence: CC BY-NC-ND

Cite this

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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,

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doi = "10.5220/0011552700003335",

language = "English",

series = "Conference Proceedings",

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AB - 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.

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KW - software engineering

KW - ontological domain analysis and modeling

KW - knowledge engineering

KW - knowledge representation

KW - interoperability

KW - decision support systems

KW - dependability

KW - transparency

KW - accountability

KW - trustworthiness

KW - unbiased machine learning

KW - explainable artificial intelligence (XAI)

KW - trustworthy artificial intelligence (TAI)

KW - beneficial AI

KW - ethical AI

KW - Society 5.0

U2 - 10.5220/0011552700003335

DO - 10.5220/0011552700003335

M3 - Conference contribution

T3 - Conference Proceedings

SP - 207

EP - 214

BT - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD

PB - SciTePress

ER -

Trustworthy intelligent systems: an ontological model

Abstract

Publication series

UN SDGs

Keywords

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