Artificial Intelligence as a Curatorial Evolution: Transforming Exhibition Curation through Intelligent Systems

The intersection of art and technology has birthed a new era of possibilities, with Artificial Intelligence (AI) emerging as a potent force in reshaping cultural landscapes. A particularly intriguing application lies in the realm of exhibition curation. Traditionally, curators have relied on their expertise, intuition, and knowledge to select, interpret, and present artworks. However, the advent of AI offers the potential to revolutionize this process, introducing new methodologies and perspectives. This thesis seeks to investigate the evolving landscape of AI curation from a scientific perspective. Specifically, it aims to answer the following research question: How is AI Curation evolving, and what are the potential outcomes or implications of its application? As technology continues to advance, AI emerges as a powerful tool capable of revolutionizing traditional curatorial practices and enhancing the overall exhibition experience. This study investigates the implications, challenges, and opportunities associated with integrating AI into the curatorial process, shedding light on the evolving relationship between technology and the art world.