AI in Government
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Item From Antecedents to Outcomes: A Structured Literature Review on AI Implementation in Public Sector Organizations(2025-01-07) Henk, Anastasiya; Henk, OliverThis paper provides a comprehensive review of the literature on the AI implementation in the public sector. Using the ADO framework, it analyzes the antecedents, decisions, and outcomes of an implementation of AI. In particular, the review identifies key drivers for the adoption of AI, such as technological advancements, policy directives, and the need for efficiency and transparency. Decision-making processes include the selection of the right policies, technologies, and work practices. Finally, the outcomes show an effect on the workforce, socio-economic benefits, services offered, trust, and policy-formulations. As such, the paper contributes to a greater theoretical understanding of an AI implementation in the public sector and highlights the current gaps in the literature. Practically, it offers insights and proposes a framework that will be useful for both policymakers and practitioners aiming to implement AI effectively in public sector organizations.Item AI in Digital Government: A Literature Review and Avenues for Future Research(2025-01-07) Khisro, JwanWhile AI has expanded across society, some sectors have been and need to be developed more than others. The literature on AI in digital government needs to be more robust and comprehensive. Therefore, a systematic literature review was done on 22 peer-reviewed articles. The review discusses AI in digital government from five perspectives: AI governance, decision and policy, citizen, ethical, and capabilities. Digital ambidexterity was used as a lens for analysis. The findings indicated that the literature on AI in digital government needs to be more balanced. Scholars also face obstacles, as prior research may not have identified all the opportunities and challenges of AI in digital government. This literature review reveals that there is a need to explore the balancing of AI risks and opportunities for digital government. The future calls for research into strategizing AI in digital government and going beyond using AI for automating existing activities.Item Introduction to the Minitrack on AI in Government(2025-01-07) Gasco-Hernandez, Mila; Liu, Dapeng; Carter, LemuriaItem Openness And Transparency by Design: Crafting an Open Generative AI Platform for the Public Sector(2025-01-07) Persson, Per; Zhang, YixinThis paper outlines the foundational importance of openness and transparency in the public sector to foster trust, accountability, and democratic principles. It discusses the potential of generative AI to enhance public sector services through content generation, data analysis, and personalized services, aiming to increase accessibility and efficiency. The study aims to address the research question: What design principles are needed to foster openness and transparency in the design of generative AI-platform solutions within public sector organizations? The open generative AI platform designed and implemented in this innovation project in the Sundsvall municipality, Sweden has already been in use. This action design research study aims to establish design principles for developing trustworthy, scalable generative AI solutions that promote openness, transparency, and collaboration across the public sector.