<![CDATA[The rapid adoption of Artificial Intelligence (AI) in government has transformed public service delivery and decision-making while raising ethical concerns related to fairness, transparency, accountability, and privacy. This study develops and validates an Ethical Information System Success Framework for Artificial Intelligence in Government by integrating Ethical AI governance principles with the Information System Success Model. A sequential mixed-method approach with triangulation-based instrument testing was employed. The model was developed using an Input–Process–Output logic and operationalized into 11 latent variables with 55 measurement items. Quantitative data were collected from 86 government employees using AI-based systems during October–November and analyzed using PLS-SEM, complemented by qualitative expert validation. The findings reveal that ethical transparency, accountability, and privacy and security significantly influence user trust, whereas ethical fairness does not demonstrate a statistically significant effect. User trust and satisfaction subsequently drive actual AI use, which strongly contributes to net public benefits. The empirical study was conducted among Indonesian government employees using AI-supported public service systems.]]>
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