本研究旨在探討AI技術導入客家數位典藏之政策分析，並提出以「文化傳承」為核心之治理路徑。過去數位典藏政策多偏重技術建置，忽略了民眾端之實質需求，難以啟動實質之傳承效益。 研究發現，現行政策正陷入「授權保守、標案斷裂、參與缺失、動機斷層」交織而成之制度性惡性循環。因行政保守心理導致之資料孤島，以及專案制造成之詮釋權位移，使得文化資產淪為缺乏詮釋生機之風險，引發社會大眾之接觸動機缺口，很難產生共鳴。 基於深度訪談與SWOT政策分析，本研究提出「循環治理模型」，主張將AI定位為驅動治理革新之「數位中介」，並提出四項轉向行動：一、建立分級開放授權制度；二、轉向常設性之「數位庋用」治理；三、落實「社會在環內」之詮釋參與；四、以民眾端之「經驗真實」作為成效指標。 結論指出，AI技術導入客家數位典藏具備「高度條件式可行性」，關鍵不在於技術成熟度，而在於治理體系能否有效承接文化風險與長期維運責任。本研究透過重構循環治理視角，為推動客家文化數位轉型提供實證基礎之決策參照。;This study examines the policy implications of integrating Artificial Intelligence （AI） technologies into Hakka digital archives and proposes a governance pathway centered on cultural inheritance and sustainability. Previous digital archiving policies have largely emphasized technological development and data construction while overlooking the practical needs of the public， thereby limiting their effectiveness in promoting meaningful cultural transmission. The findings reveal that current policies are trapped in an institutional vicious cycle characterized by conservative authorization practices， fragmented project-based implementation， insufficient public participation， and discontinuities in cultural engagement. Administrative risk aversion has contributed to the formation of data silos， while project-oriented governance has led to a displacement of interpretive authority. As a result， cultural assets face the risk of becoming disconnected from living cultural meanings， weakening public motivation to engage with and identify with Hakka culture. Drawing upon in-depth interviews and SWOT policy analysis， this study proposes a “Circular Governance Model” that positions AI as a digital intermediary for governance innovation. The model advocates four strategic transformations: （1） establishing a tiered open licensing framework; （2） shifting from short-term digitization projects toward a permanent governance approach focused on digital stewardship and utilization; （3） institutionalizing participatory interpretation through a “society-in-the-loop” mechanism; and （4） adopting public experiential authenticity as a key indicator for policy evaluation. The study concludes that the integration of AI into Hakka digital archives demonstrates a high degree of conditional feasibility. The critical challenge lies not in technological maturity but in whether governance systems can effectively address cultural risks and sustain long-term operational responsibilities. By reconstructing the perspective of circular governance， this research provides an empirical policy reference for advancing the digital transformation and sustainable inheritance of Hakka culture..
