Please use this identifier to cite or link to this item: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/2521
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dc.contributor.authorAdamyk, Oksana-
dc.contributor.authorChereshnyuk, Oksana-
dc.contributor.authorAdamyk, Bogdan-
dc.contributor.authorRylieiev, Serhii-
dc.date.accessioned2024-10-21T07:35:20Z-
dc.date.available2024-10-21T07:35:20Z-
dc.date.issued2023-
dc.identifier.otherУДК 004.891-
dc.identifier.urihttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/2521-
dc.language.isoenuk_UK
dc.publisherAdamyk O. TRUSTWORTHY AI: A FUZZY-MULTIPLE METHOD FOR EVALUATING ETHICAL PRINCIPLES IN AI REGULATIONS / O. Adamyk, O. Chereshnyuk, B. Adamyk, S. Rylieiev // Advanced computer information technologies : 13th International Conference on Advanced Computer Information Technologies, 21–23 September 2023, Wrocław, Poland. – IEEE. – 2023. – P. 608–613.uk_UK
dc.subjectartificial intelligenceuk_UK
dc.subjectштучний інтелектuk_UK
dc.subjectethical principlesuk_UK
dc.subjectетичні принципиuk_UK
dc.subjectlegislationuk_UK
dc.subjectзаконодавствоuk_UK
dc.titleTrustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulationsuk_UK
dc.typeOtheruk_UK
Appears in Collections:28.23.01 Загальні питання штучного інтелекту (тези)

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