This paper presents a systematic literature review (SLR) of 359 papers on AI assistance for UX design, conducted through the lens of Human-Centered AI (HCAI). The study aims to synthesize the current state of AI research in UX, identify trends, and uncover unmet needs of UX practitioners. Guided by the Double Diamond design framework, the analysis reveals that AI automation often overlooks empathy-building and user experience across multiple UI screens. The study emphasizes the need for a deeper understanding of UX mindsets, more designer-centric datasets and evaluation metrics, and a balance between technology-driven and human-centered approaches. The review highlights the growing interest in AI for UX design, with a focus on areas such as UI generation, interface design inspiration, and UI optimization. The study also identifies gaps in current research, including the need for more balanced approaches that consider both technical feasibility and human-centered design principles. The findings suggest that AI can enhance UX design processes, but require careful integration to ensure they support, rather than replace, human creativity and empathy. The study calls for further research to bridge the gap between AI research and UX practice, emphasizing the importance of human-centered design in AI development.This paper presents a systematic literature review (SLR) of 359 papers on AI assistance for UX design, conducted through the lens of Human-Centered AI (HCAI). The study aims to synthesize the current state of AI research in UX, identify trends, and uncover unmet needs of UX practitioners. Guided by the Double Diamond design framework, the analysis reveals that AI automation often overlooks empathy-building and user experience across multiple UI screens. The study emphasizes the need for a deeper understanding of UX mindsets, more designer-centric datasets and evaluation metrics, and a balance between technology-driven and human-centered approaches. The review highlights the growing interest in AI for UX design, with a focus on areas such as UI generation, interface design inspiration, and UI optimization. The study also identifies gaps in current research, including the need for more balanced approaches that consider both technical feasibility and human-centered design principles. The findings suggest that AI can enhance UX design processes, but require careful integration to ensure they support, rather than replace, human creativity and empathy. The study calls for further research to bridge the gap between AI research and UX practice, emphasizing the importance of human-centered design in AI development.