ARTIFICIAL INTELLIGENCE COMPETENCIES IN PUBLIC MANAGEMENT: EVIDENCE FROM A SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.56238/bocav25n76-004Keywords:
AI Competency, Digital Governance, Professional Training, Public Administration, Systematic ReviewAbstract
The growing adoption of artificial intelligence (AI) in public administration has increased the demand for specific competencies among civil servants, which go beyond digital literacy and require technical, ethical, and strategic capabilities. This study aimed to map, through a systematic literature review, the essential AI competencies for the ethical and contextualized use of these technologies in the public sector. To this end, a systematic literature review was conducted using the PRISMA protocol in the Scopus, Web of Science, and CAPES Periodicals Portal databases, covering the period from 2020 to 2025. From a total of 52 articles initially identified, 12 comprised the final portfolio of studies examined. The extracted data were analyzed through narrative synthesis and thematic analysis, using the Mixed Methods Appraisal (MMAT) tool to assess methodological quality. The results reveal a predominance of technical and operational competencies, complemented by behavioral competencies that emphasize critical attitude and ethics, albeit with gaps in practical integration and a lack of empirically validated models. The research agenda points to the need for: (a) systematization of models applicable to the institutional reality of the public sector; (b) promotion of empirical research; and (c) development of evaluation metrics to support public policies for AI training.
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