Artificial intelligence (AI) is increasingly being integrated into user interface (UI) design to enhance user experience and optimize design processes. This paper explores the application of AI in UI design, focusing on improving user interaction, personalization, and efficiency. AI enables the prediction of user behavior and preferences, allowing for more intuitive and personalized UI designs. Experience metrics, which quantify user interaction with digital interfaces, are crucial for identifying and addressing design issues. By analyzing these metrics, designers can make data-driven decisions to improve UI performance. AI also enhances the design process through automation and optimization. For example, AI can generate UI elements and layouts, reducing manual effort and increasing design diversity. Additionally, AI can analyze user behavior and feedback to refine design strategies, making interfaces more user-friendly and efficient. In augmented reality (AR) and virtual reality (VR), AI improves immersion by adapting virtual content to user behavior and preferences. The paper also discusses the application of AI in various fields, such as personalized recommendations on e-commerce platforms and AI-driven recruitment tools. These applications demonstrate how AI can enhance user interaction and streamline processes. However, challenges such as accessibility and inclusivity remain, requiring adaptive design to ensure all users can benefit from digital products. In conclusion, AI is transforming UI design by enabling more personalized, efficient, and immersive experiences. As AI technology continues to evolve, UI design will become more intelligent and user-centric, meeting the growing demands of digital users.Artificial intelligence (AI) is increasingly being integrated into user interface (UI) design to enhance user experience and optimize design processes. This paper explores the application of AI in UI design, focusing on improving user interaction, personalization, and efficiency. AI enables the prediction of user behavior and preferences, allowing for more intuitive and personalized UI designs. Experience metrics, which quantify user interaction with digital interfaces, are crucial for identifying and addressing design issues. By analyzing these metrics, designers can make data-driven decisions to improve UI performance. AI also enhances the design process through automation and optimization. For example, AI can generate UI elements and layouts, reducing manual effort and increasing design diversity. Additionally, AI can analyze user behavior and feedback to refine design strategies, making interfaces more user-friendly and efficient. In augmented reality (AR) and virtual reality (VR), AI improves immersion by adapting virtual content to user behavior and preferences. The paper also discusses the application of AI in various fields, such as personalized recommendations on e-commerce platforms and AI-driven recruitment tools. These applications demonstrate how AI can enhance user interaction and streamline processes. However, challenges such as accessibility and inclusivity remain, requiring adaptive design to ensure all users can benefit from digital products. In conclusion, AI is transforming UI design by enabling more personalized, efficient, and immersive experiences. As AI technology continues to evolve, UI design will become more intelligent and user-centric, meeting the growing demands of digital users.