Abstract: With the continuous development of generative AI technology, vertical-oriented AI generative design has become a new paradigm，whose trust relationship in human-AI team work has a significant impact on the innovation, efficiency and quality of design results. However, the current related research lacks a complete and systematic discussion. Therefore, in order to clarify the trends, hotspots and methods of the research related to the trust relationship in design for human-AI collaboration, the influencing factors of trust are defined by clustering and analyzing the literature from the development of research on trust. Based on the design field, a trust level model for human-AI collaboration in design is constructed, the research content and architecture of the three aspects of technology, interaction and experience are systematically explored. The key technologies of trust measurement, calibration, repair, decision-making, and evaluation are summarized. Research trends and perspectives of human-AI collaboration trust in design are presented in terms of theory, methods, technology, systems, and practice, which can provide references for future related research.

Key words: human-AI collaboration, generative design, generative AI, trust relationships, trust models