In this study, an artificial intelligence (AI)-based ionospheric electron density model specialized for the Korean Peninsula was developed and used to analyze the Faraday rotation, a propagation characteristic of radio waves passing through the ionosphere. The Faraday rotation values calculated using the developed AI model, ionosonde observation data, and global empirical model IRI-2016 data were compared to analyze the differences among the electron density models. In addition, the errors between the simplified Faraday rotation calculation method and a more accurate approach based on ray tracing and the Appleton-Hartree equation were evaluated. The results of this study can contribute to improving the accuracy of predicting radio wave propagation characteristics in the ionosphere over the Korean Peninsula.