An Artificial Intelligence Maturity Model for the Public Sector: A Design Science Approach

Dreyling, Richard; Lemmik, Juhani; Tammet, Tanel; Pappel, Ingrid

doi:10.2478/bjes-2024-0023

Abstract

This article presents the development of an artificial intelligence maturity model (AIMM), specifically tailored for public sector organizations to assess their readiness for AI adoption. Using design science methodology, the research synthesizes insights from academic literature and expert consultations to propose a comprehensive AIMM. Through iterative development and expert feedback, the study refines a model that categorizes AI maturity across eight dimensions. The model’s validity is assessed through expert evaluations and questionnaires, confirming its relevance and utility in guiding public organizations toward effective AI adoption. This research contributes to the theoretical and practical understanding of AI implementation in the public sector, addressing unique challenges such as procurement models, legal compliance, and organizational capabilities.

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An Artificial Intelligence Maturity Model for the Public Sector: A Design Science Approach

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