Abstract
Integrating artificial intelligence (AI) in virtual museums is reshaping curatorial practices, expanding accessibility, and fostering inclusivity. This research explores how AI-driven curators personalize visitor experiences, enhance cultural representation, and create welcoming digital spaces for diverse audiences. By leveraging machine learning and natural language processing, AI can analyze user preferences, recommend artworks, and generate multilingual interpretations, breaking language and cultural barriers. AI also enhances accessibility through features like audio descriptions for visually impaired visitors, real-time translations, and adaptive content tailored to individual learning styles. Interactive AI-driven exhibits create immersive, responsive experiences, deepening the connection between art and audiences. Case studies, including Google Arts & Culture’s AI-curated collections and the MORI Digital Art Museum, illustrate how AI enhances inclusivity in virtual spaces. Yet, challenges remain. Algorithmic bias, ethical concerns, and the evolving role of human curators must be carefully navigated. Striking a balance between automation and human oversight is essential to ensuring AI-driven curation is both practical and ethical. AI curators can transform virtual museums into inclusive, engaging, and culturally responsive platforms by reimagining hospitality in digital art spaces, ensuring that art remains accessible and meaningful.
Presenters
Hang YuanAssistant Professor, Art and Design, University of Southern Indiana, Indiana, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
New Media, Technology and the Arts
KEYWORDS
AI Curators, Virtual Museums, Accessibility, Inclusivity
