This study introduces an innovative approach integrating artificial intelligence (AI) and statistical modelling technique to enhance the prediction of earth dam slope stability. Utilizing advanced methodologies, including the Classification and Regression Tree (CART), Classification and Regression Random Forests (CRRF), and Multiple Linear Regression (MLR), this research provides a comprehensive, data-driven analysis for slope stability prediction. The integration of AI with traditional statistical models significantly improves the predictive accuracy over conventional methods. The findings reveal the model's capability in terms of reliability and precision in predicting slope stability, demonstrating its potential as a powerful tool in the engineering. Additionally, this work highlights the effective application of AI in complex environmental systems analysis, opening new avenues for research and practice in the field.