INTELLIGENT CURATION OF ART BIENNALES AND EXHIBITIONS
DOI:
https://doi.org/10.29121/shodhkosh.v6.i5s.2025.6889Keywords:
Intelligent Curation, Art Biennales, AI in Exhibitions, Multimodal Analysis, Cultural Knowledge Graph, Reinforcement Learning, Explainable AI, Curatorial CollaborationAbstract [English]
The study is a detailed proposal of smart curation of art biennials and exhibitions, a combination of artificial intelligence (AI) and human curatorial practices. The paper suggests the method of a multilayered system that integrates multimodal data collection, semantic reasoning, alongside optimization through reinforcement learning as alternative approaches to increase thematic coherence, spatial design, and audience engagement. CNN types of graphics, text, and behavior were processed based on CNN-ViT hybrids and transformer-based NLP models, which allowed forming cross-modal features in the box and the creation of a cultural knowledge graph. An exhibition layout optimization module with the equations of aesthetic, engagement, and diversity maximized the layouts, and explainable AI (XAI) promulgated interpretability and ethical transparency. A case study that mimicked a modern art biennial indicated that AI-aided curation enhanced thematic consistency by 31 %, shortened planning time by 42 % and had a high level of curator satisfaction (0.91 on a scale of 1.0). The findings have validated the hypothesis that AI enhances creative abilities among curators and it reveals underlying cultural associations and promotes inclusive representation. Cultural integrity was achieved using ethical governance systems, like provenance tracking, bias mitigation, and transparency indices. Finally, the paper defines intelligent curation as a partnership between intelligence and AI known as a co-creation of scalable, explainable and ethically grounded exhibition design. According to this framework, curatorial intelligence is being redefined as a hybrid process based on the data but highly humanized to form the future of global art biennales and cultural management.
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Copyright (c) 2025 Mr. Sameer Bakshi, Pooja Srishti, Jaichandran Ravichandran, Vasanth Kumar Vadivelu, Dr. Jyoti Saini, Arpit Arora
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