The Application of AI in Aesthetic Resource Allocation

Fang Han

European Journal of Education Science, 2025, vol. 1, issue 1, 86-94

Abstract: This review explores the emerging role of artificial intelligence (AI) in the allocation of aesthetic resources across multiple domains, including media, design, urban planning, and cultural heritage. It begins by defining the concept of aesthetic resources and identifying key challenges in their distribution, such as subjectivity, resource limitations, and diverse audience needs. The paper then outlines the foundational technologies - such as machine learning, computer vision, and generative models - that enable AI to interpret and generate aesthetic content. Through a survey of practical applications, the review highlights AI's capacity to enhance personalization, support creative collaboration, and broaden access to aesthetic experiences. It also examines critical challenges, including bias in training data, ethical concerns regarding authorship and censorship, and the limitations of current AI judgment frameworks. Finally, the review presents future directions, emphasizing the need for multimodal intelligence, interdisciplinary cooperation, and a more nuanced understanding of aesthetic value in sociocultural contexts. Overall, the paper argues that while AI offers substantial benefits in optimizing aesthetic resource allocation, its responsible development requires ongoing reflection and cross-disciplinary engagement.

Keywords: aesthetic resource allocation; personalization; computational aesthetics; cultural heritage; urban design (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://pinnaclepubs.com/index.php/EJES/article/view/132/134 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dba:ejesaa:v:1:y:2025:i:1:p:86-94

Access Statistics for this article

More articles in European Journal of Education Science from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().