AI-assisted Curatorial Research

New Perspectives from Photography to Exhibitions

Abstract

This thesis explores the application of Artificial Intelligence (AI) in curation, especially from the screening of photographic works to a new perspective of exhibition design and audience experience. With the rapid development of AI technology, the field of curation is undergoing profound changes.AI improves the efficiency and accuracy of work screening through image recognition and automated processing in photography; in exhibition design, it provides innovative tools for exhibition layout and optimisation by using Virtual Reality (VR) and Augmented Reality (AR) technology; and in terms of audience experience, AI enhances interaction and engagement through intelligent guides and personalised recommendations. interactivity and engagement. However, the application of AI also faces challenges, including data privacy, creative constraints, costs and technical thresholds. Future research will focus on the integration of AI with artistic creation, the enhancement of personalised experiences, privacy protection, and the integration of cross-domain technologies. By addressing these challenges, AI is expected to drive continued innovation and development in the curatorial industry, providing smarter and more efficient solutions for art presentation and audience experience.