Pick the Right Thing: GenAI-Supported Design and Production Workflows of Curators
Jingling Zhang, Yan Xiang, Yuanjin Zhao, Xiaofu Jin, Jia Sun, Xin Tong, Mingming Fan, RAY LC · 2025
Curators face challenges in selecting, ideating, coordinating, and publicizing exhibited works. Recent advances in GenAI has shaped the role of curators in the exhibition design and production process, leading to new adaptations in the exploration, design, planning, and dissemination phases. To explore the impact of GenAI on curatorial practice, we interviewed 13 curators and followed an additional 3 curators in real-world online exhibition production process. We found that GenAI can support theme selection, space design, topic research, artwork selection, and element production. However, GenAI may also stifling critical thinking, perpetuate inaccuracies, leading to fragmented workflows, misperceptions of feasbility, and concerns about copyright. The effectiveness of GenAI tools often depends on the curator’s understanding of their roles and limitations. This work offer practical design recommendations for curators and suggest future research to design for adopting the use of GenAI in technology-mediated curatorial workflows.