Dataset of Systematic Literature Review on AI in the public sector

This study develops a conceptual framework containing specific factors influencing governments’ readiness to implement AI. The framework comprises factors concerning data, technology, people, organization, environment, and public values. Through a systematic literature review synthesizing 42 articles, we identified 18 generic factors, 21 AI-specific factors, and 14 AI/government-specific factors. We conclude that readiness factors change throughout the stages of AI use in government, as the stage of <em>planning and developing</em> AI in government organizations is associated with readiness factors different from the stage of <em>implementing</em> AI in government.

本研究构建了一套用于阐释政府实施人工智能（AI）就绪性影响因素的概念框架。该框架涵盖数据、技术、人员、组织、环境与公共价值维度的各类影响因素。本研究通过系统性文献综述整合42篇相关学术文献，共识别出18项通用因素、21项AI专属因素以及14项AI/政府专属因素。我们得出结论：政府AI实施的就绪性因素会随AI应用阶段的推进发生变化，这是因为政府组织内开展AI<em>规划与开发</em>的阶段，其所关联的就绪性因素与政府<em>实施</em>AI的阶段存在显著差异。