近年來全球AI技術發展快速變遷，許多企業也紛紛導入AI系統並應用在工作流程中，在過去，此項技術領域的應用主要在勞動密集產業，協助企業優化自動化生產流程方面以達到效率最佳化。然而，隨著RAG技術的突破性發展，AI應用在過去三年間已擴展至知識密集產業，涵蓋醫療、設計、教育、軟體開發和研究領域。在賦予使用者和企業組織能力的同時，也衍生出削權及人力取代的隱憂。
本研究旨在探索公部門組織如何利用人機協作形塑邊界跨越，故採用質性研究方法中的個案研究法，以「國家實驗研究院麾下的科技政策中心」為個案研究對象。為了探討AI科技推動公部門智慧轉型的過程，本研究透過「邊界跨越」及「賦權」的理論基礎，加上個案資料的蒐集與科政中心進行深入訪談後的訪談內容，來分析「國家智庫引入AI科技的階段性過程及發展歷程」。
根據本研究結果的發現，AI技術的運用不單僅可以讓組織效率提升，同時可以達成人與AI協作的應用和諧。公部門組織在引入AI科技之前，需要先了解當前遇到的困難與挑戰，並針對該項痛點選用最合適的AI技術。在確認AI技術的選用以及明訂目標為解決何種痛點之後，其AI技術的賦權即為邊界跨越的型為可能可以取得具體的結果；經過組織的一再實際行動與結果回饋後，達成直接具體結果的實現。其實現結果不僅解決了當初的目標痛點實現了公部門組織智慧化，在達成智慧化的同時，組織亦在賦權和削權的平衡上形塑出研究員與AI和諧共存的人機協作模式。

Global AI technology has rapidly evolved, with enterprises increasingly integrating AI systems into their workflows. Initially concentrated in labor-intensive industries for production optimization, AI applications have expanded to knowledge-intensive sectors including healthcare, design, education, software development, and research, especially following RAG technology breakthroughs. While empowering organizations, this also raises concerns about human displacement.
This study explores how public sector organizations use human-AI collaboration for boundary spanning, using a case study approach with Taiwan's Science and Technology Policy Research Center. Based on "boundary spanning" and "empowerment" theories, combined with interviews and data collection, the research analyzes how national think tanks introduce AI technology.
Findings show that AI implementation not only improves organizational efficiency but enables harmonious human-AI collaboration. Public organizations must first identify current challenges and select appropriate AI solutions for specific problems. Once AI technology is confirmed and objectives defined, empowerment through AI can achieve concrete boundary spanning results. Through continuous organizational action and feedback, organizations solve original pain points while achieving smart transformation and establishing balanced human-AI collaborative models.

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