熱門時事分享：當眼見為憑不再可信，揭秘「AI 武器化」下的信任保衛戰 ｜20260908
目錄
2026 年 09 月 08 日｜HOT 用英文聊時事｜S1 EP43
歡迎收聽《HOT 用英文聊時事》，我是 CLN 的 Clarence 老師。不知道你有沒有覺得幾年最讓人措手不及的「武器」，好像不一定是飛彈或槍砲，而是一段真假難辨的語音、一張看起來毫無破綻的圖片，甚至是一支足以讓公司股價在短時間內受到影響的偽造影片。
Welcome to “Hot English Topics.” I’m Clarence from CLN. Have you ever noticed that the most surprising “weapon” in recent years may not be missiles or guns at all? Instead, it’s a voice recording that sounds real but isn’t, a photo that looks completely genuine, or even a fake video that can tank a company’s stock price in seconds.
世界經濟論壇的報告也指出，假訊息與網路安全，已經是全球公認的高風險議題。而 AI 的出現，正在讓這些風險擴散得更快，也更貼近日常生活。所以今天這一集，我們要聊的不是科幻電影裡那種 AI 失控攻擊人類的情節，而是更接近現實的一件事：當 AI 開始被用來製造混亂、操縱資訊、模糊真假界線，我們到底還能相信什麼？
A report from the World Economic Forum points out that misinformation and cybersecurity are now considered to be major global risks. And the rise of AI is making these risks spread even faster, bringing them closer to our daily lives. So today, we’re not going to talk about some sci-fi movie where AI goes rogue and attacks humanity. Instead, we want to discuss something much closer to real life: when AI is used to sow chaos, manipulate information, and blur the lines between fact and fiction, what can we still trust?
真正讓外界不安的，並不是 AI 公司和政府合作本身，畢竟科技公司參與國防、資安或公共安全專案，其實並不罕見。真正敏感的是：那些過去把「安全」與「負責任」當成核心價值的公司，如今也開始面對現實壓力。
What really worries us isn’t the fact that AI companies work with governments. Tech companies taking part in defense, cybersecurity, or public safety projects is actually quite common. What feels more sensitive is that the companies that once made “safety” and “responsibility” their core values are now facing real-world pressure too.
Anthropic 旗下的模型 Claude，就曾面臨類似處境。美國國防部希望 Claude 能在軍方情境中更不受限制地被使用，但 Anthropic 拒絕鬆綁自身的安全防護機制。結果後來就被五角大廈列為「供應鏈風險」，也因此受到軍方合約使用上的限制。不久後，OpenAI 便迅速填補這個空缺，與國防部簽下新的合作協議。
Anthropic’s AI model, Claude, went through something just like this. The US Department of Defense wanted to use Claude in military situations with fewer limits, but Anthropic refused to loosen its own safety rules. Because of this, the Pentagon later labeled Anthropic a “supply chain risk,” which limited how the military could use its products under contract. Soon after, OpenAI stepped in to fill that gap and signed a new deal with the Department of Defense.
支持者會說，如果民主國家不用這些技術，威權國家也不會因此停下來，反而可能更早、更激進地投入軍事應用。但反對者的疑慮也說明：如果安全紅線可以因為一紙合約而改寫，那它從一開始到底是不是原則？還是只是一組可以被重新設定的參數？當技術越來越強大，誰有權決定它能被用在哪裡？又該由誰承擔後果？
Supporters say that even if democratic countries don’t use this technology, authoritarian regimes aren’t going to follow suit. They might move toward weaponizing these tools even faster and more aggressively. But those critics who disagree raise an important question: if a red safety line can be redrawn just because of a contract, was it ever really a principle? Or was it just a setting that could be changed on demand? As this technology grows more powerful, who gets to decide how it’s used? And who should be responsible for the consequences?
這些聽起來像是遙遠的國際新聞，但其實和企業日常非常接近。現在的攻擊，不一定要突破公司系統，也不一定需要複雜的惡意程式。它可能只是一通聽起來像主管的電話、一封語氣很像內部信件的 Email，或是一場看起來完全正常的視訊會議。
These stories might sound like distant international news, but they actually hit very close to home for everyday businesses. Attacks today don’t always need to hack into a company’s system, and they don’t require complex malware either. It might just be a phone call that sounds like your boss, an email that reads exactly like an internal memo, or a video call that seems completely normal.
2024 年，某知名香港公司就曾發生真實案例：一名財務人員受邀加入視訊會議，畫面中出現財務長與多位主管，會議內容看起來相當正式。然而事後證實，這些與會者的影像與聲音全都是 AI 合成。該名員工依指示分批匯款，最終造成公司損失高達 2,500 萬美元。
In 2024, a well-known Hong Kong company had a real case like this. A finance employee was invited to join a video call including the company’s CFO along with several other senior staff. The meeting looked completely official but it later turned out that every person on that call — their faces and their voices — was created by AI. Following the instructions given in the meeting, the employee authorized a series of wire transfers, and the company ended up losing as much as 25 million US dollars.
這個案例之所以警惕，是因為它不是傳統印象中的粗糙詐騙，而是一場高度擬真的商務互動。企業的防線，不能只放在 IT 部門，而必須延伸到每一位會接收資訊、做出判斷、執行流程的人。
What makes this case so alarming is that it wasn’t some obvious scam like people usually imagine. It was a highly realistic business interaction. A company’s defense can’t rely on the IT department alone. It must extend to reach every single person who receives information, makes decisions, and carries out daily tasks.
如果剛剛談的是「錢怎麼被騙走」，那接下來要談的，就是更難修復的環節：信任。一則偽造聲明、一支假影片，可能更快動搖外界對品牌的判斷。
If the last story was about financial loss, this next one is about something even harder to restore: trust. One fake statement or manipulated video can shake a brand’s reputation in seconds.
2026 年初，印度孟買證券交易所就遇到這樣的事件。社群平台上瘋傳一支影片，畫面中的「執行長」看起來正式地分享股票投資建議，甚至宣稱能帶來高額獲利。問題是，這位執行長從未說過這些話，整支影片都是 AI 合成的。交易所最後只能緊急發布聲明，強調影片完全偽造，並提醒投資人不要根據未經查證的網路內容做財務決策。
In early 2026, the Bombay Stock Exchange in India experienced this very situation. A video went viral on social media showing the exchange’s CEO officially sharing stock investment advice, even claiming it could bring huge profits. The problem was that the real CEO never said any of it. The entire video was AI-generated. In the end, the exchange had to release an emergency statement, saying the video was completely fake, and reminding investors not to make financial decisions based on unverified content online.
這件事提醒企業：資安部門或許可以守住內部系統，卻未必守得住外界對品牌的觀感。當 Deepfake 影片開始流傳，企業處理的不只是錯誤資訊，而是一場信任危機。所以問題是：面對這麼快速又逼真的攻擊，企業到底該怎麼準備？
This case reminds companies of something important. A security team might be able to protect internal systems, but that doesn’t mean they can protect a brand’s reputation. Once a deepfake video starts spreading, a company isn’t just dealing with false information anymore. It’s handling a full-blown trust crisis. So the question remains: facing attacks that move this fast and look this real, how should companies actually prepare?
答案可能很簡單：如果 AI 可以被用來攻擊，AI 就也能站到防守這一邊。AI 可以生成假影片、模仿聲音、製造大量假訊息；同樣地，它也可以用來偵測異常內容、比對聲音與影像特徵、追蹤可疑訊息。例如：歐盟已經開始要求部分 AI 系統標示內容是否經過 AI 生成，台灣資安圈這幾年也逐漸轉向「以 AI 對抗 AI」。但提升技術只是第一層級的任務。真正能不能守住信任，還要回到制度與習慣。
The answer might actually be very simple. Just as AI can be used to attack, it can also be used defensively. AI can create fake videos, mimic voices, and spread large amounts of false information. In the same way, it can also be used to detect manipulated content, compare voice and image patterns, and track suspicious messages. For example, the European Union has started requiring some AI systems to label content that was generated by AI. Taiwan’s cybersecurity field has also been shifting toward using AI to fight AI over the past few years. But improving technology is only the first step. Truly protecting trust also depends on company policies and daily habits.
例如，主管臨時要求付款時，是否需要透過第二管道確認？品牌遭遇假訊息攻擊時，公司是否有快速回應機制？不管是內部詐騙，還是外部品牌攻擊，企業要做的都是同一件事：把查證變成日常，而不是等到危機發生才手忙腳亂。
For example, when a manager suddenly asks for a payment, is there a secondary channel to confirm it’s really them? When a brand faces a disinformation attack, does the company have a way to respond quickly? Whether it’s fraud from inside the company or an external attack on the brand, businesses need to do the same thing: they need to make verification part of their daily routine, instead of scrambling only after a crisis happens.
因為接下來我們要面對的現實，不只是 AI 會不會取代工作，也不只是 AI 能不能提升效率，而是更根本的問題：當我們看到一段影片、聽到一段聲音、收到一封訊息時，我們該如何判斷它是真的？又該如何守住彼此之間最基本的信任？這會是 AI 時代裡，每一間企業、每一位工作者，都必須共同面對的新課題。
Because the issues we’ll be facing next aren’t just about whether AI will replace our jobs, or whether it can improve efficiency. Instead, it comes down to an even more fundamental question. When we see a video, hear a voice, or receive a message, how do we tell if it’s real? And how do we protect the basic trust we have with each other? In the age of AI, this is the new challenge that every company and every worker must face together.
我是 CLN 的 Clarence 老師，我們下次見！This is Clarence from CLN. See you again soon!
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CLN (Corporate Language Network) 創辦於 2014 年，是亞洲企業外語服務和培訓的領導品牌，旨在解決企業因外語所衍伸的相關問題，協助客戶成為具有跨文化溝通和國際合作能力的專業人士。我們提供一流的企業教育訓練、AI 學習工具、隨選隨上家教平台、文件翻譯、會議口譯、師資訓練等專業服務。這些年來，我們的合作廠商包含 Google、Yahoo、IBM、IKEA、Mercedes-Benz、聯發科等多家國際品牌。
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