There is great interest to use artificial intelligence (AI) technologies to improve government processes and public services. However, the adoption of technologies has often been challenging for public administrations. In this article, the adoption of AI in governmental organizations has been researched as a form of information and communication technologies (ICT)–enabled governance innovation in the public sector. Based on findings from three cases of AI adoption in public sector organizations, this article shows strong similarities between the antecedents identified in previous academic literature and the factors contributing to the use of AI in government. The adoption of AI in government does not solely rely on having high-quality data but is facilitated by numerous environmental, organizational, and other factors that are strictly intertwined among each other. To address the specific nature of AI in government and the complexity of its adoption in the public sector, we thus propose a framework to provide a comprehensive overview of the key factors contributing to the successful adoption of AI systems, going beyond the narrow focus on data, processing power, and algorithm development often highlighted in the mainstream AI literature and policy discourse.

使用人工智能（AI）技术来改善政府程序和公共服务引起了极大的兴趣。但是，对于公共行政部门而言，采用技术通常具有挑战性。在本文中，已经研究了在政府组织中采用AI作为信息和通信技术（ICT）促成公共部门治理创新的一种形式。基于在公共部门组织中采用AI的3个案例的发现，本文显示了先前学术文献中确定的先例与促使AI在政府中使用的因素之间的强烈相似之处。在政府中采用AI不仅取决于拥有高​​质量数据，而且还受到众多环境，组织机构，以及其他相互交织的因素。为了解决政府中AI的特殊性质以及在公共部门采用AI的复杂性，我们提出了一个框架，以全面概述有助于成功采用AI系统的关键因素，而不仅仅是对数据的关注。 ，处理能力和算法开发经常在主流AI文献和政策讨论中突出显示。