AI 技術的導入如何解決新聞台人才困境

Abstract

本研究在探討人工智慧（AI）技術，如何能夠解決台灣新聞台的人才困境。近年來，台灣新聞產業的人才流失相當嚴重，除了工時長、薪資低、工作環境不穩定，在一定程度上面，也受到了網路的崛起以及新興媒體的衝擊，曝光度更不如從前。台灣的新聞產業如何在這個挑戰當中，找出創新的解決方案，其中 AI 技術的引入，成為相對重要的探索方向。 首先，本研究先回顧了 AI 技術在新聞產業當中應用的現狀，是否真的能夠解決基層人才流失的問題？AI 智能的多方面發展，讓世界各國趨之若鶩。例如中國華新社跟台灣的民視新聞台，先後推出了 AI 主播，在業界引起了廣泛的討論與關注，AI 主播的引入讓原本進入夕陽時代的新聞產業注入一股活水，新聞台高層更希望藉此能夠提高製作的效率、降低成本、以及減輕從業人員的壓力。 其次，本研究通過深度訪談，深入瞭解 AI 主播對新聞工作者的影響、以及觀眾對於 AI 主播的看法。由於法規的限制，生成式 AI 目前在台灣的電視台無法使用，還無法有效節省人力，但倘若未來開放，AI 將能大展拳腳，處理許多基層的問題，舉凡大數據分析找稿件、下標、更正錯字、撰寫新聞摘要等等，都不是難事，更能透過大數據分析與搜集的資料，提升報導的準確性。AI 也能成為培訓員工的機器，幫助新聞行業的經驗繼續傳承。 但 AI 的出現也被質疑是否會對現有的新聞從業人員造成衝擊？但回到新聞業的本質，新聞記者與主播們，以「人」為本，站在事故的第一現場，把親身經歷與所見所聞，用生動的描述方式來傳遞給電視機前面的觀眾，以及具有人性的闡述方式、對於真相有溫度的深度剖析，都是 AI 無法取代人類之處。

This study explores how artificial intelligence (AI) technology can address the talent crisis in Taiwan's news broadcasting industry. In recent years, Taiwan's news industry has faced significant talent attrition due to long working hours, low salaries, and unstable work environments. Additionally, the rise of the internet and emerging media has further impacted the industry's visibility. In this challenging context, finding innovative solutions is crucial, and the introduction of AI technology has become a key area of exploration. Firstly, this research reviews the current application of AI technology in the news industry and assesses its potential to mitigate the problem of talent attrition. The multifaceted development of AI has garnered global interest. For instance, China’s Xinhua News Agency and Taiwan's Formosa TV have both launched AI news anchors, sparking widespread discussion and attention in the industry. The introduction of AI anchors has breathed new life into the declining news industry. The management of these news organizations hopes that AI can improve production efficiency, reduce costs, and alleviate the pressure on news workers. Secondly, through in-depth interviews, this study examines the impact of AI anchors on news professionals and the audience's perception of AI anchors. Currently, due to regulatory constraints, generative AI cannot be used in Taiwan’s television stations to save manpower effectively. However, if future regulations permit, AI could significantly expand its role, addressing numerous fundamental tasks such as big data analysis for finding news stories, writing headlines, correcting errors, and drafting news summaries. AI’s capability to analyze and gather large datasets could also enhance the accuracy of reporting. Moreover, AI could serve as a training tool, helping to transfer knowledge and experience within the news industry. Despite these potential benefits, there are concerns about the impact of AI on existing news professionals. The essence of journalism lies in the human element—reporters and anchors bring personal experiences and firsthand accounts to their stories, delivering them with vivid descriptions to engage viewers. The ability to provide human-centric interpretations and insightful analyses imbued with empathy and depth is something AI cannot replicate.