Accelerating integration of immigrants using artificial intelligence-driven solutions: The panacea for integration gaps in Finland

Frank Ojwang ()
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Frank Ojwang: Faculty of Social Sciences, University of Lapland

Technium Social Sciences Journal, 2022, vol. 33, issue 1, 549-568

Abstract: Artificial Intelligence (AI) is revolutionizing micro and macro-aided decision-making processes across various sectors and disciplines worldwide. This paper uses the probability technique to theoretically forecast AI-aided integration program potential to offer accelerated, concrete and individualized integration support for new and ‘old’ resident immigrants throughout their stay in Finland. The algorithms are base on various taxonomies and topologies for individualized self-paced, life-long situation-specific integration support. This action research article theoretically reviews two high-quality peer-reviewed publications on AI in aging through systematic reviews and meta-analyses, combining results from multiple impact evaluation studies to construct arguments and draw conclusions for the use of AI in accelerating new migrants’ integration in Finland. Data is analyzed qualitatively and quantitively to deduce realistic predictions. This article uses grounded theory to test theories that underscore the role and impact of AI in accelerating integration. This article presents the foundation on which future integration programs will be implemented.

Keywords: Artificial Intelligence; Applied research; Integration; Probabilities (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:v:33:y:2022:i:1:p:549-568

DOI: 10.47577/tssj.v33i1.6794

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