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Title:Towards a definition of a responsible artificial intelligence
Authors:ID Göllner, Sabrina (Author)
ID Tropmann-Frick, Marina (Author)
ID Brumen, Boštjan (Author)
Files:.pdf FAIA-380-FAIA231146.pdf (501,03 KB)
MD5: 8C70289585602C5C34B952327C05FCD7
 
URL https://ebooks.iospress.nl/volumearticle/66248
 
Language:English
Work type:Scientific work
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Our investigation seeks to enhance the understanding of responsible artificial intelligence. The EU is deeply engaged in discussions concerning AI trustworthiness and has released several relevant documents. It’s crucial to remember that while AI offers immense benefits, it also poses risks, necessitating global oversight. Moreover, there’s a need for a framework that helps enterprises align their AI development with these international standards. This research will aid both policymakers and AI developers in anticipating future challenges and prioritizing their efforts. In our study, we delve into the essence of responsible AI and, to our understanding, introduce a comprehensive definition of the term. Through a thorough literature review, we pinpoint the prevailing trends surrounding responsible AI. Using insights from our analysis, we’ve also deliberated on a prospective framework for responsible AI. Our findings emphasize that human-centeredness should prioritized. This entails adopting AI techniques that prioritize ethical considerations, explainability of models, and aspects like privacy, security, and trustworthiness.
Keywords:structured literature review, artificial intelligence, responsible AI, privacy-preserving AI, explainable AI, ethical AI, rustworthy AI
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2024
Publisher:IOS Press
Year of publishing:2024
Number of pages:Str. 40-56
PID:20.500.12556/DKUM-96578 New window
UDC:004.8
COBISS.SI-ID:229990147 New window
DOI:10.3233/FAIA231146 New window
Copyright:© 2024 The Authors
Publication date in DKUM:20.01.2026
Views:152
Downloads:4
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a monograph

Title:Information modelling and knowledge bases XXXV
Editors:Marina Tropmann-Frick, Hannu Jaakkola, Bernhard Thalheim, Yasushi Kiyoki, Naofumi Yoshida
Place of publishing:Amsterdam [etc.]
Publisher:IOS Press
ISBN:978-1-64368-476-5
COBISS.SI-ID:189068291 New window
Collection title:Frontiers in artificial intelligence and applications
Collection numbering:ǂVol. ǂ380
Collection ISSN:0922-6389

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:Slovenian
Keywords:strukturiran pregled literature, umetna inteligenca


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