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

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  • Frank Ojwang

    (Faculty of Social Sciences, University of Lapland)

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.

Suggested Citation

  • Frank Ojwang, 2022. "Accelerating integration of immigrants using artificial intelligence-driven solutions: The panacea for integration gaps in Finland," Technium Social Sciences Journal, Technium Science, vol. 33(1), pages 549-568, July.
    • Handle: RePEc:tec:journl:v:33:y:2022:i:1:p:549-568
    DOI: 10.47577/tssj.v33i1.6794
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    References listed on IDEAS

    as
    1. Ojwang, Frank, 2021. "Social injustice in learning of the second language among immigrant children in Finland: conventional narratives and perceptions," EUREKA: Social and Humanities, Scientific Route OÜ, issue 5, pages 82-100.
    2. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    3. Tuomisto, Karolina & Tiittala, Paula & Keskimäki, Ilmo & Helve, Otto, 2019. "Refugee crisis in Finland: Challenges to safeguarding the right to health for asylum seekers," Health Policy, Elsevier, vol. 123(9), pages 825-832.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Artificial Intelligence; Applied research; Integration; Probabilities;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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