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AI-based chatbots as enabler for efficient external knowledge management in public administration

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

This study addresses the pressing issue of staff shortages in German public administrations through the lens of digitalization, focusing on the potential of AI-based chatbots to solve this problem by replacing human labour. Employing a Design Science Research Process (DSRP) methodology, the research synthesizes theoretical foundations and regulatory frameworks to develop a robust chatbot concept. The artifact presented is a comprehensive architectural framework integrating user-centric design, linguistic processing, and regulatory compliance. The proposed artifact navigates complex federal structures and diverse IT infrastructures, promoting accessibility and inclusivity. Implications suggest enhanced efficiency and accessibility in public service delivery for potentially increasing citizen satisfaction and decreasing employee workload. The study underscores the importance of legal compliance and the evolving regulatory landscape in AI deployment. Future research will involve prototyping and evaluating the artifact's performance and applicability throughout the course of the DSRP, thus contributing to the advancement of digital transformation in public administrations.

Beschreibung

Wiethölter, Jost; Kühl, Linus; Feldmann, Carsten (2024): AI-based chatbots as enabler for efficient external knowledge management in public administration. 7. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2024): Neue Wege der Zusammenarbeit und Vernetzung für digitale Transformation und Verwaltungsmodernisierung. DOI: 10.18420/rvi2024-12. Bonn: Gesellschaft für Informatik e.V.. ISSN: 2944-7682. PISSN: 1617-5468. ISBN: 978-3-88579-745-6. pp. 149-160. KI in der öffentlichen Verwaltung. Wiesbaden. 25.-26. September 2024

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