The research explores the potential implementation of Artificial Intelligence (AI) in public decision-making and examines its ability to support or take over certain decisions in government agencies. Utilizing Herbert Simon's theory of Bounded Rationality, the study employs a qualitative method through a literature review to analyze various articles, journals, and related literature on AI applications in public decision-making. The findings indicate that AI can optimize data collection, analysis, and interpretation, and facilitate more accurate predictions. Effective AI implementation strategies include developing robust AI models, training qualified human resources, and designing policies that consider ethical and data security aspects. The study highlights the importance of integrating AI in various areas of public administration to improve efficiency and effectiveness. The conclusion emphasizes the promising role of AI in shaping a more responsive, adaptive, and efficient public decision-making system in the digital era.The research explores the potential implementation of Artificial Intelligence (AI) in public decision-making and examines its ability to support or take over certain decisions in government agencies. Utilizing Herbert Simon's theory of Bounded Rationality, the study employs a qualitative method through a literature review to analyze various articles, journals, and related literature on AI applications in public decision-making. The findings indicate that AI can optimize data collection, analysis, and interpretation, and facilitate more accurate predictions. Effective AI implementation strategies include developing robust AI models, training qualified human resources, and designing policies that consider ethical and data security aspects. The study highlights the importance of integrating AI in various areas of public administration to improve efficiency and effectiveness. The conclusion emphasizes the promising role of AI in shaping a more responsive, adaptive, and efficient public decision-making system in the digital era.