Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China after the Post-Pandemic Era

TL;DR

This paper investigates how generative AI and aesthetics can be harnessed to enhance cultural creativity and sustainability in rural China, especially post-pandemic, by fostering local artistic talent and boosting tourism.

Contribution

It introduces a novel approach of training AI on local aesthetics to generate culturally relevant content and proposes nurturing grassroots artists to sustain rural cultural development.

Findings

AI-generated content often lacks local resonance

Reliance on external artists hampers sustainability

Interactive AI media can promote tourism and heritage preservation

Abstract

This paper explores using generative AI and aesthetics to promote cultural creativity in rural China amidst COVID-19's impact. Through literature reviews, case studies, surveys, and text analysis, it examines art and technology applications in rural contexts and identifies key challenges. The study finds artworks often fail to resonate locally, while reliance on external artists limits sustainability. Hence, nurturing grassroots "artist villagers" through AI is proposed. Our approach involves training machine learning on subjective aesthetics to generate culturally relevant content. Interactive AI media can also boost tourism while preserving heritage. This pioneering research puts forth original perspectives on the intersection of AI and aesthetics to invigorate rural culture. It advocates holistic integration of technology and emphasizes AI's potential as a creative enabler versus replacement. Ultimately, it lays the groundwork for further exploration of leveraging AI innovations to empower rural communities. This timely study contributes to growing interest in emerging technologies to address critical issues facing rural China.