Pham, Long, O'Sullivan, Barry ORCID: 0000-0002-0090-2085, Scantamburlo, Teresa ORCID: 0000-0002-3769-8874 and Mai, Tai ORCID: 0000-0001-6657-0872 (2024) Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities. In: The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), February 20–27, 2024, Vancouver, Canada. ISBN 1-57735-887-2
Abstract
As Artificial Intelligence (AI) continues to permeate various aspects of societies, understanding the disparities in AI knowledge and skills across different living areas becomes imperative. Small living areas have emerged as significant contributors to Europe's economy, offering an alternative to the bustling environment of larger cities for those seeking an improved quality of life. Nonetheless, they often encounter challenges related to digital infrastructure, access to financial resources, and digital skills gaps, limiting their economic and social growth prospects. This study investigates the digital and AI skills gaps in the context of small and large European living areas, shedding light on the potential hindrances to unleashing the full economic and social potentials of these regions in an AI-enabled economy. Drawing from a comprehensive dataset encompassing 4,006 respondents across eight EU countries, this research examines the current perceptions and understandings of AI and digital skills within two distinct population groups: residents of smaller living areas and their counterparts in larger communities. Through bivariate analysis, notable insights are revealed concerning trust in AI solutions and entities, self-assessed digital skills, AI Awareness, AI Attitudes and demography variables in both population groups. These insights may refer to the significance of addressing digital and AI skills gaps in fostering growth and preparedness for the AI-driven future. As AI becomes increasingly integral to various aspects of society, targeted interventions and policies are essential to bridge these gaps and enable individuals and communities to harness the transformative potential of AI-enabled economies.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Computer Science > Artificial intelligence Computer Science > Information technology Social Sciences > Education Social Sciences > Educational technology |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > INSIGHT Centre for Data Analytics Research Institutes and Centres > ADAPT |
Published in: | Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). AAAI Press. ISBN 1-57735-887-2 |
Publisher: | AAAI Press |
Official URL: | https://ojs.aaai.org/index.php/AAAI/article/view/3... |
Funders: | INSIGHT Research Centre, ADAPT Research Centre, European Union’s Horizon 2020 research and innovation, Science Foundation Ireland |
ID Code: | 29775 |
Deposited On: | 15 Apr 2024 13:57 by Tai Mai . Last Modified 15 Apr 2024 13:57 |
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