隨著生成式人工智慧（Generative AI, GenAI or AI）的普及，高中生使用GenAI協助準備學習歷程資料已成常態，對大學招生中以「獨立完成」為依據的傳統誠信（Integrity）標準構成挑戰。招生不僅是選才機制，更是大學引導高中、參與未來人才培育的重要教育實踐。面對AI時代的轉變，現行招生評量普遍缺乏對AI協作的調適機制，審查委員對GenAI生成內容的辨識能力亦參差不齊，顯示制度更新的急迫性。本文提出招生體系應重新界定「誠信」概念，將GenAI視為促進學生高階思維與倫理意識的契機，而非風險來源。研究採用質性分析法，針對《QS世界大學排名2026》前30名中具代表性的13所大學，分析其招生網站中與校內GenAI使用相關之政策規範，歸納出「禁止使用」、「誠信與揭露」、「參考但不納入評分」、「探索與引導呈現」等四種類型的因應策略與配套。本文綜合研究者長期參與招生制度與審查實務的第一線觀察，進一步提出「懂AI、用AI、評AI、馭AI」四面向的審查委員AI素養培育架構，倡議從「結果導向」轉向「歷程導向」，以強化審查委員對AI協作脈絡的理解與評鑑能力。期能引導大學發展兼顧個人主體性、制度公平性與公共信任的行動建議，並為未來招生政策與教育實踐提供前瞻性的改革方向。

The rapid rise of generative artificial intelligence (Generative AI, GenAI or AI) has profoundly impacted the preparation of application materials by high school students, which pose challenges to long-standing notions of authenticity and integrity in university admissions. While admissions have traditionally relied on independently produced work, this standard is increasingly misaligned with the realities of AI-assisted learning. This study advocates for a redefinition of authenticity in admissions, which view AI as a tool for student empowerment, particularly in developing higher-order thinking and ethical awareness, rather than solely as a threat to integrity. This study employs a qualitative analysis approach to examine the GenAI-related admissions policies of 13 representative universities among the top 30 institutions in the QS World University Rankings 2026. Based on this analysis, the study identifies four institutional response strategies: Zero-Tolerance Policy, Integrity and Disclosure Policy, Non-Evaluative Use Policy, and Exploration and Guidance Policy. Drawing from the researchers' extensive frontline experience in admissions policy development and review practices, the study proposes a four-dimensional framework for fostering AI literacy among admissions reviewers, including "knowing AI, using AI, evaluating AI, and governing AI", as a foundation for transforming admissions systems. Ultimately, this study aims to offer an actionable framework for enhancing fairness and public trust in university admissions in the age of AI, and to provide forward-looking recommendations for policy reform and educational practice.

大學招生審查;生成式人工智慧;誠信;國際比較;學習歷程

College admission; Generative AI (or GenAI); Integrity; International Benchmarking; Learning portfolio