波士頓大學臺灣研究講座系列2025年首場講座
AI in Taiwan Newsroom: Collaboration, Challenges, and Opportunities.
波士頓大學帕迪全球學院亞洲研究中心（BUCSA）於2月10日舉辦臺灣研究講座系列（Taiwan Studies Series）2025年首場講座，邀請國立政治大學傳播學院、刻在哈佛燕京學社擔任訪問學者的林怡潔副教授(Yi-Chieh Lin)，以「AI in Taiwan Newsroom: Collaboration, Challenges, and Opportunities」為題，深入探討人工智慧如何改變新聞產業，以及其所帶來的機會與挑戰。
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本講座由亞洲研究中心主任 Robert W. Hefner 擔任主持人，開場時不僅提及亞洲研究的重要性，亦感謝專程與會的駐波士頓辦事處教育組黃薳玉組長及教育部與該中心長期的教育合作。接著由同樣來自臺灣，目前於波士頓大學傳播系任教的吳浩銘教授(H. Denis Wu)擔任引言人，開啟一場對於AI技術發展與應用的前瞻性討論。
林教授從自動化機器開始討論AI技術的發展與介入人類社會的型態，並特別點出AI技術對於現有新聞教育的影響與新型態的新聞產業變革。臺灣新聞環境具有高度競爭性，不僅有為數眾多且長時播放的新聞台，數位媒體與社群平台也迅速崛起，衝擊既有新聞運作方式。在此背景下，應用AI不僅可提升效率、優化內容也可進行假訊息（dis-information）的查核。
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同時，AI技術在新聞領域的應用廣泛，包括自動寫作、內容翻譯、語音轉文字、影像生成等，都會重新塑造新聞產製模式。然而，林教授強調，AI無法完全取代記者的專業判斷與人際網絡，尤其是深度調查報導、政策分析與人文故事仍需依賴專業記者的敏銳度與訪談能力。
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林教授同時提及，AI帶來便利的同時，也伴隨諸多挑戰，例如：AI新聞的倫理、可信度與社會影響。比如： AI生成內容可能缺乏細膩的人文視角，甚至出現錯誤或偏誤資訊； AI也可能被利用來製造假新聞、操控輿論，影響選舉與社會穩定。甚至隨著自動化技術發展，新聞編輯的工作流程與職業要求也從撰寫報導轉向管理與驗證AI生成的內容。
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由於這些變化迅速且不可避免，林教授特別指出，我們應該善用AI工具展望未來：新聞業應發展新的AI應用標準與倫理規範，確保AI技術的運用能夠提升新聞的透明度與公信力。此外，透過技術開發者、媒體從業者、學界與政府部門的合作，可望建立更健全的AI新聞生態系統，確保新聞自由與資訊品質。
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演講結束後的現場提問熱烈，與會者對於AI在新聞產業的未來發展充滿興趣與期待：不同語言的文化優勢在訓練與使用AI有絕大差異，目前AI工具以英文與中文為主，相對弱勢的語言應該如何應對？臺灣新聞產業與全球新聞產業對於AI工具的使用程度是否不同？訓練手語AI播報員與真人播報哪個比較經濟？林教授也從豐富的研究經驗觀點逐一回答。
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臺灣研究系列持續進行中，敬請期待更多精彩講座！
下一場活動資訊即將公布，敬請關注我們的臉書及網頁！
Boston University Taiwan Studies Series 2025 – First Lecture
🎤 AI in Taiwan Newsroom: Collaboration, Challenges, and Opportunities
On February 10, the Boston University Center for the Study of Asia (BUCSA) at the Pardee School of Global Studies hosted the first lecture of the 2025 Taiwan Studies Series. The event featured Associate Professor Yi-Chieh Lin from the College of Communication at National Chengchi University, currently a visiting scholar at the Harvard-Yenching Institute. Her talk, titled "AI in Taiwan Newsroom: Collaboration, Challenges, and Opportunities," explored the transformative role of artificial intelligence in journalism, along with its opportunities and challenges.
The lecture was moderated by Professor Robert W. Hefner, Director of BUCSA, who emphasized the importance of Asian studies and extended his gratitude to Director Yuanyu Huang of the Education Division at TECO Boston, as well as to Taiwan’s Ministry of Education for its long-term collaboration with the center. The introduction was given by Professor H. Denis Wu, a Taiwanese scholar teaching in Boston University's Department of Communication, setting the stage for an insightful discussion on AI technology and its applications.
Professor Lin began by discussing the evolution of AI technology and its integration into human society, focusing on its impact on journalism education and industry transformation. Taiwan's media landscape is highly competitive, with numerous 24-hour news channels, a rapidly growing digital media sector, and the rise of social media. In this context, AI is being utilized to enhance efficiency, optimize content, and fact-check disinformation.
AI applications in journalism are extensive, including automated writing, content translation, speech-to-text conversion, and image generation, all of which are reshaping news production. However, Professor Lin stressed that AI cannot fully replace journalists' professional judgment and human networks, particularly in investigative journalism, policy analysis, and human-interest storytelling, which still rely on journalists' expertise and interviewing skills.
At the same time, AI presents ethical, credibility, and social challenges in journalism. AI-generated content may lack human depth, nuance, or even accuracy, and could be exploited for fake news and opinion manipulation, influencing elections and social stability. Moreover, as automation advances, the role of editors is shifting from writing to managing and verifying AI-generated content.
Given these rapid and inevitable changes, Professor Lin emphasized the importance of establishing AI application standards and ethical guidelines to enhance news transparency and credibility. Collaboration between tech developers, media professionals, academia, and government institutions is crucial in building a sustainable AI-driven news ecosystem, ensuring press freedom and information quality.
The Q&A session sparked enthusiastic discussions among attendees eager to understand AI's impact on journalism. Topics included:
💡 How should languages with fewer AI resources compete against dominant ones like English and Chinese?
💡 Does AI adoption in Taiwan’s news industry differ from global trends?
💡 Which is more cost-effective: training an AI sign language news anchor or using a human broadcaster?
Professor Lin provided insightful answers, drawing from her extensive research experience.
The Taiwan Studies Series continues—stay tuned for more exciting lectures! 📢
Upcoming event details will be announced soon—follow our Facebook and website for updates!