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Transversal skills in applied Artificial Intelligence - the case of the financial sector

  • Different aspects of modern society can be transformed by the deployment of Artificial Intelligence (AI). AI-powered tools have promoted changes in the financial industry by applying inventive methods for data analysis and automating processes, efficiency enhancement, cost reduction and more personalised services to customers. However, AI algorithms may activate significant ethical and regulatoryDifferent aspects of modern society can be transformed by the deployment of Artificial Intelligence (AI). AI-powered tools have promoted changes in the financial industry by applying inventive methods for data analysis and automating processes, efficiency enhancement, cost reduction and more personalised services to customers. However, AI algorithms may activate significant ethical and regulatory concerns that should be addressed by the industry and society as a whole. In line with the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education), which aims to establish a training platform, this paper focuses on an analysis of study programmes in formal tertiary education across consortium countries (Spain, Estonia, North Macedonia, Croatia, Germany, and Slovenia) with a special focus on applied artificial intelligence and development of curriculum that will integrate teaching guidelines covering the areas of application of AI technology in the financial and insurance sectors. To this end, a Systematic Review of Literacy (SRL) on the web methodology identifying the existing employability requirements in AI and the Learning-Centred Syllabus (LCS) methodology for curriculum development was applied, with the presented curriculum expected to serve as a framework to develop teaching materials to help students, academics and employees enhance their professional skills, thus satisfying labour market needs.show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/8847
Bibliografische Angaben
Title (English):Transversal skills in applied Artificial Intelligence - the case of the financial sector
Author:Aleksandra Porjazoska KujundziskiORCiD, Ervin DomazetORCiD, Hiqmet KamberajORCiD, Damir RahmaniORCiD, Amra Abazi FetaORCiD, Francisco López ValverdeORCiD, Sergio Gálvez RojasORCiD, Eduard PetlenkovORCiD, Kristina VassiljevaORCiD, Ivan ŠtajduharORCiD, Tobias HagenStaff MemberORCiDGND, Anton GradišekORCiD, Aleksander ZidanšekORCiD
Year of Publication:2024
Publisher:Szkoła Główna Handlowa GV
First Page:82
Last Page:90
Parent Title (English):e-mentor
Volume:104
Issue:2
ISSN:1731-7428 (Online)
ISSN:1731-6758 (Print)
DOI:https://doi.org/10.15219/em104.1658
Language:English
Inhaltliche Informationen
Institutes:Fakultät Wirtschaft (W)
Institutes:Bibliografie
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft
Tag:artificial intelligence; curriculum development; financial sector; teaching platform; transversal skills
Funded by (selection):EU-Programme
Funded by (textarea):Erasmus+ KA2
Funding number:2021-1-ES01-KA220-HED-000030125
Formale Angaben
Relevance:Wiss. Zeitschriftenartikel reviewed: Listung in Master Journal List
Open Access: Open Access 
 Bronze 
Licence (German):License LogoUrheberrechtlich geschützt