探索后疫情时代中国乡村文化创意中复杂美学与生成式人工智能的交汇
Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China after the Post-Pandemic Era
AI总结：
本文提出利用生成式AI和美学培养“艺术家村民”，以解决乡村艺术作品缺乏共鸣和外部依赖问题，通过机器学习生成文化相关内容，促进乡村文化创意与旅游。
摘要：
本文探讨了在新冠疫情影响的背景下，利用生成式人工智能和美学来促进中国乡村文化创意。通过文献综述、案例研究、问卷调查和文本分析，研究了艺术与科技在乡村环境中的应用，并识别出关键挑战。研究发现，艺术作品往往难以引起当地共鸣，而依赖外部艺术家则限制了可持续性。因此，本文提出通过人工智能培养草根“艺术家村民”。我们的方法包括在主观美学上训练机器学习，以生成具有文化相关性的内容。交互式人工智能媒体还能在保护遗产的同时促进旅游业。这项开创性研究提出了关于人工智能与美学交汇以振兴乡村文化的原创观点。它倡导技术与整体的整合，并强调人工智能作为创造性赋能者而非替代者的潜力。最终，它为利用人工智能创新赋能乡村社区的进一步探索奠定了基础。这项及时的研究有助于人们对新兴技术解决中国乡村面临的关键问题日益增长的兴趣。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
