Year: 2026
Type: article
Abstract: The integration of artificial intelligence (AI) into art curation is transforming how artistic experiences are personalised and curated. This review explores the evolving role of AI in art curation, focusing on personalised recommendations, enhanced user interactions, and the impact of machine learning and data analytics on curatorial practices. By examining recent advancements in AI technologies, including collaborative filtering, content-based recommendations, and neural networks, this article highlights how these tools are revolutionising the art world. The findings reveal that AI-driven curation not only enhances user engagement but also provides insights into emerging trends in artistic preferences, while also addressing challenges related to algorithmic bias and data privacy. Keywords: art curation, AI role, artistic experiences.
Source: Idealogy Journal
Institution: Universiti Teknologi MARA
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7218315989