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Fakulteta za upravo, Ljubljana (VUSLJ)
  • Evaluating and enhancing AI readiness models [Elektronski vir] : towards a conceptual framework for public administration
    Murko, Eva, 1993- ; Babšek, Matej, 1985- ; Aristovnik, Aleksander
    The rapid evolution of artificial intelligence (AI) technologies offers unprecedented opportunities for public administration to enhance efficiency, decision-making capabilities, and citizen ... prosperity. The potential of AI to revolutionise public services and governance is widely acknowledged, yet its successful adoption hinges on the readiness of public administration for AI integration at both organisational and national levels. As there is a lack of studies on AI readiness models in public administration, this review article aims to present a broad analysis of existing models and propose starting points for a comprehensive model of AI readiness in public administration. The objective is to identify core areas and elements essential for AI readiness and to evaluate the extent to which current models accommodate the diverse needs of public administration. The comprehensive literature review, according to the PRISMA protocol, includes a content analysis and qualitative coding of 29 relevant sources. The results reveal the key elements of public administration readiness for AI, both at the national and organisational levels. They also highlight elements that are not sufficiently considered in the existing models. Based on the results, a proposal for a comprehensive AI readiness model for public administration is presented. This includes elements at the national and organisational levels, both covering the three layers of public governance - internal operations, service delivery and policy-making. The findings are beneficial for both researchers and policymakers as they form the basis for further endeavours to develop a comprehensive framework for AI readiness in public administration.
    Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasle
    Leto - 2024
    Jezik - angleški
    COBISS.SI-ID - 197579779

    Povezava(-e):

    https://www.nispa.org/conference/2024

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