Acquiring competencies for mastering tools that process big data - the case of AI usage skills gaps

Open Access
Authors
  • A. Pandiloska Jurak
  • J. Kolar
  • L. Mršić
Publication date 2024
Host editors
  • N. Erman
Book title 15th International Conference on Information Technologies and Information Society : ITIS 2024
Book subtitle conference proceedings : November 7-8, 2024, Ljubljana, Slovenia
ISBN (electronic)
  • 9789619654910
Event 15th International Conference on Information Technologies and Information Society
Pages (from-to) 118-124
Publisher Novo mesto: Faculty of information studies in Novo Mesto
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam School of Historical Studies (ASH)
  • Faculty of Economics and Business (FEB)
Abstract
This paper delves into the critical role of Artificial Intelligence (AI) in shaping the 21st century, emphasizing its potential to revolutionize various sectors including medicine and education, while also posing significant societal and economic challenges. Amidst the backdrop of the EU's lag in AI adoption compared to the USA and Asia, this study underscroed the acute skills gap as a pivotal hindrance.It introduces the AI4VET4AI project aimed at briding this gap through a transnational European platform of Vocational Education Training (VET) excellence. The project seeks to integrate AI-related content into VET curricula, fostering trust in AI, and alligning skills development with the Digital Education Action Plan (2021-2027). By highlighting the importance of a collaborative knowledge triangle- Business, education, and research - the paper advocates for a comprehensive approach to harness AI's potential, ensuring sustainable growth and competetiveness within the EU.
Document type Conference contribution
Language English
Published at https://itis.fis.unm.si/wp-content/uploads/2024/11/ITIS-2024-Book-of-proceedings-web.pdf https://itis.fis.unm.si/index.php/proceedings/
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