arXiv:2412.16531cs.AIcs.CY2024-12被引 2

探索AI生成工具如何重塑艺术高校教学体系

From Creation to Curriculum: Examining the role of generative AI in Arts Universities

  • 基于2023年7月工作坊实践,以Stable Diffusion为例推动AI工具融入课程
  • 通过展览展示学生创作成果,验证AI辅助艺术教育的可行性
  • 适合关注AI与艺术教育融合的院校教师与创作者参考

人工智能时代以生成能力为标志,显著区别于以往技术迭代。这一特性使AI能够创造新颖原创内容,展现出其创造力。此转变对艺术教育构成挑战,要求摆脱以人类创作为中心的传统教学模式。本文聚焦将AI工具(尤其是Stable Diffusion)整合进高校艺术课程体系,基于2023年7月举办的工作坊实践经验,最终促成一次由AI生成的艺术作品展。文章系统梳理了此类工具的应用现状,强调艺术家、开发者与研究者在开源AI艺术生态中的协同关系。同时探讨教育机构面临的关键挑战与应对需求,主张加速采纳前沿技术,培养学生在人工智能增强的艺术环境中所需的综合能力。

原文摘要 · Abstract (English)

The age of Artificial Intelligence (AI) is marked by its transformative "generative" capabilities, distinguishing it from prior iterations. This burgeoning characteristic of AI has enabled it to produce new and original content, inherently showcasing its creative prowess. This shift challenges and requires a recalibration in the realm of arts education, urging a departure from established pedagogies centered on human-driven image creation. The paper meticulously addresses the integration of AI tools, with a spotlight on Stable Diffusion (SD), into university arts curricula. Drawing from practical insights gathered from workshops conducted in July 2023, which culminated in an exhibition of AI-driven artworks, the paper aims to provide a roadmap for seamlessly infusing these tools into academic settings. Given their recent emergence, the paper delves into a comprehensive overview of such tools, emphasizing the intricate dance between artists, developers, and researchers in the open-source AI art world. This discourse extends to the challenges and imperatives faced by educational institutions. It presents a compelling case for the swift adoption of these avant-garde tools, underscoring the paramount importance of equipping students with the competencies required to thrive in an AI-augmented artistic landscape.

AI艺术教育融合Stable Diffusion

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