Trustworthy intelligent systems: an ontological model

J. I. Olszewska*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
PublisherSciTePress
Pages207-214
Number of pages8
ISBN (Electronic)9789897586149
DOIs
Publication statusPublished - 24 Oct 2022

Publication series

NameConference Proceedings
PublisherSciTePress
ISSN (Print)2184-3228

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

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