In the realm of user interface and user experience (UI/UX) design, the application of AI technologies has significantly transformed traditional methods, leading to more engaging and efficient user interactions. One of the primary usages of AI in this context is the automation of design tasks, which enhances both personalization and accessibility in digital environments[9][10]. AI tools are utilized to analyze large volumes of user data, which assists designers in optimizing prototypes and improving the overall design process[11]. This has resulted in smoother user interactions, fostering trust and connection between the user and the system[10]. Moreover, AI plays a crucial role in customizing user experiences by targeting specific user segments with context-specific questions, thereby improving the collection of customer feedback[12]. This feedback is instrumental in driving meaningful improvements in UI/UX design[12]. The use of AI in analyzing social media feedback and usage data is another critical area, as it helps identify user needs and behaviors, which in turn informs design strategies[7]. Adhering to accessibility standards, such as the Web Content Accessibility Guidelines (WCAG), is considered a best practice in AI-driven UX design, ensuring that digital interfaces are accessible to a broader audience[13]. AI's ability to improve accessibility aligns with these guidelines, making interfaces easier and more natural for users, and avoiding confusion[14][13]. As AI continues to reshape the landscape of user experience design, it aligns with users' goals by providing suitable forms of interaction and improving the overall engagement between humans and AI systems[6][15]. The ongoing integration of AI into UI/UX design underscores the potential for future innovations in creating intuitive and trustworthy AI-powered features[16][17].