Governments are increasingly employing artificial intelligence (AI) enabled services though this is still a relatively new concept that is in nascent stages of implementation. Despite growing emphasis by governments on employing AI-enabled services, many citizens are skeptical of their benefits; this makes an analysis of AI-enabled services an important area of research, especially from the perspective of citizens. This paper employs IT assimilation theory and public value theory to develop a theoretical model that examines whether the introduction of AI-enabled services would generate public value for citizens in India. The model employs the Partial Least Square-Structural Equation Modeling (PLS-SEM) technique to examine how risk factors impact the uptake of AI-enabled services in India. Based on 315 interviews conducted in India, the study highlights that the breadth and depth assimilation of AI-enabled services positively impacts and enhances the satisfaction of citizens, which in turn generates public value.

政府越来越多地采用人工智能 (AI) 支持的服务，尽管这仍然是一个相对较新的概念，处于初期实施阶段。尽管政府越来越重视使用人工智能服务，但许多公民对它们的好处持怀疑态度。这使得对人工智能服务的分析成为一个重要的研究领域，尤其是从公民的角度来看。本文采用 IT 同化理论和公共价值理论开发了一个理论模型，该模型检验了人工智能服务的引入是否会为印度公民创造公共价值。该模型采用偏最小二乘结构方程建模 (PLS-SEM) 技术来检查风险因素如何影响印度人工智能服务的使用。根据在印度进行的 315 次采访，