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

• Authors: Aleksandra Porjazoska Kujundziski , Ervin Domazet , Hiqmet Kamberaj , Damir Rahmani , Amra Abazi Feta , Francisco Lopez Valverde , Sergio Gálvez Rojas , Eduard Petlenkov , Kristina Vassiljeva , Ivan Štajduhar , Tobias Hagen , Anton Gradišek , Aleksander Zidanšek

Abstracts

EN

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 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.

Keywords

EN

transversal skills; artificial intelligence; curriculum development; teaching platform; financial sector

• Publisher: Szkoła Główna Handlowa w Warszawie
• Journal: e-mentor
• Year: 2024
• Volume: 104
• Issue: 2
• Pages: 82-90

Dates

published

2024

Contributors

author

Aleksandra Porjazoska Kujundziski

• International Balkan University, North Macedonia

• https://orcid.org/0000000181773328

author

Ervin Domazet

• International Balkan University, North Macedonia

• https://orcid.org/000000017743469X

author

Hiqmet Kamberaj

• International Balkan University, North Macedonia

• https://orcid.org/0000000173577490

author

Damir Rahmani

• International Balkan University, North Macedonia

• https://orcid.org/0009000705967762

author

Amra Abazi Feta

• International Balkan University, North Macedonia

• https://orcid.org/0009000265178873

author

Francisco Lopez Valverde

• University of Malaga, Spain

• https://orcid.org/0000000307786838

author

Sergio Gálvez Rojas

• University of Malaga, Spain

• https://orcid.org/0000000347432807

author

Eduard Petlenkov

• Tallinn University of Technology, Estonia

• https://orcid.org/0000000321676280

author

Kristina Vassiljeva

• Tallinn University of Technology, Estonia

• https://orcid.org/0000000241781267

author

Ivan Štajduhar

• University of Rijeka, Croatia

• https://orcid.org/0000000347587972

author

Tobias Hagen

• Hochschule Offenburg University, Germany

• https://orcid.org/0000000325944932

author

Anton Gradišek

• Jožef Stefan Institute, Slovenia

• https://orcid.org/0000000164809587

author

Aleksander Zidanšek

• Mednarodna Podiplomska Šola Jožefa Stefana, Slovenia

• https://orcid.org/0000000272870158

References

• Albanesi, S., & Vamossy, D. (2019). Predicting consumer default: A deep learning approach. National Bureau of Economic Research https://doi.org/10.3386/w26165
• Bitkom. (2022). https://www.bitkom.org/sites/main/files/2022-07/Erwerbst%C3%A4tige_inkl._CE_Extranet_Juli_2022_neu.pdf
• Business Wire. (2022, January 31). The Global AI in Banking Market Will Grow to $64.03 Billion by 2030, at a CAGR of 32.6% During 2021-2030 - ResearchAndMarkets.com. https://www.businesswire.com/news/home/20220131005583/en/The-Global-AI-in-Banking-Market-Will-Grow-to-64.03-Billion-by-2030-at-a-CAGR-of-32.6-During-2021-2030---ResearchAndMarkets.com
• BYU. (2021, August 30). Syllabus design. Center for Teaching and Learning. https://ctl.byu.edu/tip/syllabus-design
• Darktrace. (n.d.). Generative AI definition. Retrieved January 19, 2024, from https://darktrace.com/cyber-ai-glossary/generative-ai
• DZS. (n.d.). Drzavni Zavod za Statistiku [Croatian Bureau of Statistics]. Retrieved July 29, 2022, from https://web.dzs.hr/
• Egana del Sol, P., & Joyce, C. (2020, January 2). The future of work in developing economies. MIT Sloan Management Review. https://sloanreview.mit.edu/article/the-future-of-work-in-developing-economies/
• EHEA. (n.d.). European Higher Education Area. Retrieved June 1, 2023, from https://www.ehea.info/index.php
• European Commission. (2022). The impact of Artificial Intelligence on the future of workforces in the EU and the US. https://digital-strategy.ec.europa.eu/en/library/impact-artificial-intelligence-future-workforces-eu-and-us
• Eurostat. (2022). ICT specialists in employment. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=ICT_specialists_in_employment
• Gouëdard, P., Pont, B., Hyttinen, S., & Huang, P. (2020). Curriculum reform: a literature review to support effective implementation. Organisation for Economic Co-operation and Development Directorate. https://one.oecd.org/document/EDU/WKP(2020)27/En/pdf
• GZS. (n.d.). Gospodarska zbornica Slovenije [Chamber of Commerce and Industry]. Retrieved July 19, 2022, from https://www.gzs.si/
• HGK. (2021). Analiza stanja hrvatske IT industrije [State analysis of the Croatian IT industry]. Hrvatska Gospodarska Komora. https://hgk.hr/documents/analiza-stanje-hr-it-industrije-2020-finale61af63d15c67c.pdf
• INE. (n.d.). Instituto Nacional de Estadística [National Statistics Institute, Spain]. Retrieved July 19, 2022, from https://www.ine.es/jaxi/Tabla.htm?tpx=48985&L=0
• ITA. (2024). Information and Communications Technology. International Trade Administration. https://www.trade.gov/country-commercial-guides/slovenia-information-and-communications-technology
• Kitchenham, B., Brereton, O. P., Budgen D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering - A systematic literature review. Information and Software Technology, 51(1), 7-15. https://doi.org/10.1016/j.infsof.2008.09.009
• Lame, G. (2019). Systematic literature reviews: An introduction. Proceedings of the Design Society: International Conference on Engineering Design, 1(1), 1633-1642. https://doi.org/10.1017/dsi.2019.169
• Lekadir, K., Quaglio, G., Garmendia, A. T., & Gallin, C. (2022) Artificial intelligence in healthcare. Applications, risks, and ethical and societal impacts. European Parliament. https://doi.org/10.2861/568473
• Machac, R., (2022, May 25). Curriculum template: 8 steps to follow to make an effective curriculum. Education Advanced. https://educationadvanced.com/resources/blog/curriculum-template-8-steps-to-follow-to-make-an-effective-curriculum/
• MAKSTAT. (n.d.). State Statistical Office - Republic of North Macedonia. Retrieved July 19, 2022, from https://www.stat.gov.mk/Default_en.aspx
• MASIT. (2020). ICT Industry in North Macedonia. General mapping report. https://masit.org.mk/wp-content/uploads/2020/09/masit_report_v1.00.pdf
• MINECO. (n.d.). Ministerio de Asuntos Económicos y Transformación Digital [Ministry of Economic Affairs and Digital Transformation]. Retrieved July 19, 2022, from https://portal.mineco.gob.es/es-es/Paginas/index.aspx
• Nti, E. K., Cobbina, Samuel, J. E., Attafuah, E., Opoku, E., & Gyan, M. A. (2022). Environmental sustainability technologies in biodiversity, energy, transportation and water management using artificial intelligence: A systematic review. Sustainable Futures, 4, 100068. https://doi.org/10.1016/j.sftr.2022.100068
• OECD. (2021a). Artificial Intelligence, Machine Learning and Big Data in finance. Opportunities, challenges, and implications for policy makers. https://www.oecd.org/finance/artificial-intelligence-machine-learning-big-data-in-finance.htm
• OECD. (2021b). OECD Skills Outlook 2021: Learning for life. OECD Publishing. https://doi.org/10.1787/0ae365b4-en
• Porjazoska Kujundziski, A., Kamberaj, H., Domazet, E., Feta, A., Rahmani, D., Ademi, N., Valverde F. L., Rojas, S. G., Pletenkov E., Vassiljeva, K., Štajduhar, I.,, Hagen, T., Gradišek, A., & Zidanšek, A. (2022). Transversal skills in applied artificial intelligence - curriculum development. Proceedings of the 4th International Applied Sciences, Engineering, and Mathematics Congress (ICASEM2022) (pp. 291-305). https://www.researchgate.net/publication/380073696_Proceedings_of_the_4th_International_Applied_Sciences_Engineering_and_Mathematics_Congress_ICASEM2022
• Precedence Research. (2023). ICT - Artificial Intelligence (AI) Market. https://www.precedenceresearch.com/artificial-intelligence-market
• Randstad Report. (2021). Toward 2030 together. https://www.randstad.com/s3fs-media/rscom/public/2021-09/sustainability-at-work-2021.pdf
• Southworth, J., Migliaccio, K., Glover, J., Glover, J., Reed, D., McCarty Ch., Brendemuhl J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/10.1016/j.caeai.2023.100127
• Statista. (n.d.). Business value generated from AI in banking sector worldwide from 2018 to 2030, by region. Retrieved July 19, 2022, from https://www.statista.com/statistics/994826/worldwide-artificial-intelligence-in-banking-business-value-by-region/
• Statistics Estonia. (n.d.). Retrieved July 19, 2022, from https://www.stat.ee/en
• Shiohira, K. (2021). Understanding the impact of AI on skills development. UNESCO International Centre for Technical and Vocational Education and Training. https://unesdoc.unesco.org/ark:/48223/pf0000376162.locale=en
• Tinmaz, H., Lee, Y-T., Fanea-Ivanovici, M., & Baber, H. (2022). A systematic review on digital literacy. Smart Learning Environments, 9, 21. https://doi.org/10.1186/s40561-022-00204-y
• UK Finance. (2023). The impact of AI in financial services: Opportunities, risks and policy considerations. https://www.ukfinance.org.uk/system/files/2023-11/The%20impact%20of%20AI%20in%20financial%20services.pdf
• WIPO. (2021). Global innovation index 2021.Tracking innovation through the COVID-19 crisis. World Intellectual Property Organization. https://www.mac-team.eu/index.php/m-news-and-events/276-global-innovation-index-2021
• WIPO. (2019). WIPO Technology Trends 2019. Artificial Intelligence. World Intellectual Property Organization. https://doi.org/10.34667/tind.29084
• Xu, Y., Liu, X., Cao, X., Huang, Ch., Liu, E., Qian, S., Liu, X., Wu, Y., Dong, F., Qiu, Ch.-W., Qiu, J., Hua, K., Su, W., Wu, J., Xu, H., Han, Y., Fu, Ch., Yin, Zh., Liu, M. .. Zhang, J. (2021, November 28). Artificial intelligence: A powerful paradigm for scientific research. The Innovation, 2(4), 100179. https://doi.org/10.1016/j.xinn.2021.100179
• Zarsky, T. (2016). The trouble with algorithmic decisions: an analytic road map to examine efficiency and fairness in automated and opaque decision-making. Science, Technology, & Human, 41(1), 118-132. https://doi.org/10.1177/0162243915605575

Identifiers

DOI

10.15219/em104.1658

Biblioteka Nauki

35736033