AI 讓你我加速變強大,也急速使壞|OpenAI 2025 威脅報告解析

隨著人工智慧快速滲透各個領域,AI 不僅帶來創新,也成為惡意行為的新工具。OpenAI 在最新發布的《Disrupting Malicious Uses of AI: October 2025》報告中,揭露了多起 AI 被濫用的真實案例,並說明如何偵測、阻斷與防範這類行為。


一、報告背景:AI 治理與安全防線的持續升級 OpenAI 的核心使命是「確保通用人工智慧(AGI)惠及全人類」。 在實踐這個目標的同時,OpenAI 持續強化偵測與防範機制,以防止 AI 被用於: • 詐騙與社交操控 • 政府監控或跨國輿論操縱 • 惡意軟體與網路滲透 自 2024 年 2 月起,OpenAI 已中斷超過 40 個違反使用政策的網絡行動,並持續公開威脅報告,提升產業透明度與防禦意識。 二、最新案例:AI 濫用的四大手法與應對措施 🎭 假工作詐騙 Deceptive Employment Schemes 以 AI 撰寫履歷、回覆求職信,誘導受害者參與詐騙或非法活動 停用帳號並分享威脅情報,協助業界聯防 💬 輿論操縱 Operation “Sneer Review” 利用 AI 批量生成社群貼文,製造假輿論、干預公共議題(含台灣相關議題) 禁用帳號並分析手法,強化偵測系統 🤖 網路假互動 Multi-platform Comment Networks 在 TikTok、X、Reddit 等平台大量生成 AI 留言,營造熱度假象 追蹤帳號網絡結構,持續封鎖惡意操作 🧠 AI 助攻駭客 “ScopeCreep” 利用 AI 撰寫惡意程式、協助滲透或外洩資料 與代碼平台合作攔截,防止工具化濫用 這些案例顯示: AI 並非直接創造新威脅,而是「加速舊手法」的放大器。 換言之,駭客與操控者更傾向將 AI 融入既有策略,提升效率與隱蔽性。 三、從案例看趨勢:AI 濫用的三個新現象 1. 「舊套路+AI 加速」成新常態 惡意行為者不再重新設計攻擊,而是用 AI 提高執行速度與說服力。 例:自動生成更自然的假評論、更專業的詐騙文案。 2. 偵測重點轉向「網絡關聯分析」 為了抓出跨平台操作,OpenAI 強化了關聯圖譜與行為節奏分析,能追蹤假帳號的互動模式與時間軌跡。 3. 全球合作成防線關鍵 單一公司無法全面防禦。OpenAI 正與其他 AI 公司、社群平台、政府及學術機構共享威脅情報,建立跨界聯防體系。 四、治理觀點:透明報告=最強防禦 OpenAI 強調「透明度本身就是防禦的一環」。 透過定期公開威脅報告,不僅能揭露攻擊樣態,也能教育使用者與業界,理解 AI 濫用的實際風險,形成正向迴圈: 被揭露 → 被理解 → 被預防 → 被阻止。 這種「開放式威脅情報共享」將是 AI 治理生態系的關鍵基石。 OpenAI 的這份報告提醒我們: AI 的力量取決於誰使用它、用來做什麼。 在面對 AI 被濫用的現實時,透明、合作與快速反應,才是守護科技信任的根本。 AI 安全,不只是技術問題,更是集體治理的挑戰。

Source: https://openai.com/global-affairs/disrupting-malicious-uses-of-ai-october-2025/

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🔍 OpenAI Report Summary: Preventing Malicious Use of AI (October 2025)

As artificial intelligence rapidly transforms every field, it brings not only innovation but also new tools for malicious activity. In its latest report, “Disrupting Malicious Uses of AI: October 2025,” OpenAI reveals real-world examples of AI misuse and explains how such threats are detected, disrupted, and prevented.


1. Background: Strengthening AI Governance and Safety

OpenAI’s core mission is “to ensure that artificial general intelligence (AGI) benefits all of humanity.”
To uphold this goal, OpenAI continuously enhances its detection and prevention systems to stop AI from being used for:

  • Fraud and social manipulation

  • Government surveillance or cross-border disinformation

  • Malware creation and cyber infiltration

Since February 2024, OpenAI has disrupted over 40 network operations violating its usage policies. The company also regularly publishes threat reports to raise transparency and industry awareness.


2. Key Cases: Four Types of AI Misuse and Countermeasures

🎭 Deceptive Employment Schemes
AI-generated resumes and job replies used to lure victims into scams or illegal activities.
→ Accounts were disabled and threat intelligence shared across the industry.

💬 Operation “Sneer Review”
AI-generated social posts manipulated public opinion, including issues related to Taiwan.
→ Accounts banned and patterns analyzed to strengthen detection systems.

🤖 Multi-Platform Comment Networks
AI bots mass-posted fake comments on TikTok, X, and Reddit to create false popularity.
→ Network structures tracked and malicious clusters systematically removed.

🧠 AI-Enhanced Hacking (“ScopeCreep”)
AI used to write malicious code or assist in data breaches.
→ Partnered with code platforms to intercept and prevent tool-based misuse.

These cases show that AI doesn’t create new threats—it amplifies old ones.
Malicious actors are integrating AI into existing tactics to increase speed, scale, and stealth.


3. Emerging Trends: Three New Patterns of AI Misuse

  1. “Old Tricks, AI-Powered Speed” Becomes the Norm
    Attackers no longer reinvent methods; they use AI to execute faster and sound more convincing—like producing realistic fake reviews or professional scam messages.

  2. Detection Focus Shifts to Network Correlation
    To uncover cross-platform operations, OpenAI strengthens graph analysis and behavioral timing models to track linked accounts and activity rhythms.

  3. Global Collaboration Is Key
    No single company can stop AI misuse alone. OpenAI now collaborates with other AI developers, social platforms, governments, and researchers to share intelligence and build a united defense network.


4. Governance Perspective: Transparency as the Strongest Defense

OpenAI emphasizes that “transparency itself is a form of defense.”
By publishing regular threat reports, the company not only exposes attack methods but also helps users and the industry understand the real risks of AI misuse—creating a positive cycle:

Expose → Understand → Prevent → Stop.

This open intelligence-sharing model is becoming a cornerstone of global AI governance.


5. The Takeaway

OpenAI’s report reminds us that the impact of AI depends on who uses it—and for what purpose.
Facing the reality of AI misuse, transparency, collaboration, and rapid response are essential to maintaining public trust in technology.

AI safety isn’t just a technical issue—it’s a collective governance challenge.

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