Core Insights - The article discusses the scarcity of "interpretation resources" in the public education system of art, which limits public engagement in cultural institutions [1] - AI technology is being introduced to address the challenges faced by museums and galleries in providing personalized and dynamic art explanations [2][5] Group 1: Current Challenges in Art Interpretation - The art exhibition sector faces three main challenges: limited professional human resources, static content in traditional audio guides, and a lack of depth in interpretations that cater to diverse audience needs [2] - Many visitors leave exhibitions with unanswered questions due to the absence of personalized explanations [2][5] Group 2: AI Integration in Museums - The Shanghai Pudong Art Museum has introduced an AI product, "Doubao," as an official AI guide for two international exhibitions, marking a significant step in the "AI + cultural heritage" model [1][8] - Doubao's AI model can accurately analyze and explain intricate details of artworks, providing immediate responses to audience inquiries, thus enhancing the visitor experience [5][6] Group 3: Transformation of Visitor Experience - The collaboration between Doubao and the Pudong Art Museum represents a systematic innovation in traditional exhibition models, allowing for interactive upgrades in art interpretation [6] - AI facilitates a shift from passive observation to active exploration, enabling visitors to engage more deeply with artworks [6][7] Group 4: Cultural Accessibility and Inclusivity - The partnership aims to provide a practical technological solution for "cultural inclusivity," making high-quality art interpretation accessible to a broader audience [8] - AI transforms professional art explanations into a low-cost, readily available public resource, allowing anyone with a smartphone to access expert-level insights [8][9] Group 5: Industry Implications and Future Directions - Doubao's model has been successfully implemented in various national museums, demonstrating its adaptability across different venues [9] - The introduction of AI in art interpretation is seen as a way to expand the boundaries of knowledge transfer, while still emphasizing the importance of human interaction in cultural experiences [7][9]

（文/刘媛媛 编辑/周远方） 在艺术公共教育体系中，"解释资源"的稀缺性长期制约着公众参与深度。 以广东省博物馆为例，2024年，其教育中心20余位专职讲解员共提供了1826小时讲解，服务了76.1万人 次。然而，该馆当年的总参观人次高达322.2万，这意味着仅有不到四分之一的观众获得了官方讲解服 务。 这种专业讲解人才"一位难求"的局面在全国具有普遍性。为解决该矛盾，不少博物馆、美术馆选择转向 志愿者团队，但后者往往面临流失率高、发展不均衡、管理机制待完善等现实困境。 这是国内AI产品首次以"官方身份"进驻美术馆，标志着"AI+文博"模式从概念验证走向深度场景融合。 其背后，是AI多模态技术在复杂专业场景下的集中检验，也是技术推动公共文化服务走向普惠化、个 性化的一次重要探索。 技术进场，AI破解艺术讲解的核心痛点 艺术展览的核心价值传递，离不开对展品细节、工艺脉络与历史语境的专业解读，但长期以来，文博行 业的讲解服务始终受制于三大痛点：专业人力供给有限且场次固定，难以覆盖海量散客；传统语音导览 内容固化，缺乏动态调整能力；解读深度单一，无法匹配不同受众的认知需求。 这就导致我们很多人走进美术馆或者博物馆的 ...