人工智慧系統正變得能夠獨自規劃並執行任務。
AI systems are becoming capable of planning and doing tasks alone
人工智慧系統正從簡單的聊天機器人演變為「代理型人工智慧」。
AI systems are evolving from simple chatbots into 'Agentic AI.'
傳統人工智慧僅能回應單一指令，而代理型人工智慧則透過將複雜任務分解為可管理的步驟，以追求長期目標。
While traditional AI responds to single prompts, Agentic AI pursues long-term goals by breaking down complex tasks into manageable steps.
這些系統結合了推理、規劃與記憶，能在各類軟體與網路環境中執行工作。
These systems combine reasoning, planning, and memory to execute work across software and the web.
透過使用「推理+行動」等框架，它們能在遇到障礙時調整策略。
By using frameworks like 'Reasoning + Acting,' they can adapt their strategies if obstacles arise.
如今，這些代理程式已開始自動化軟體開發、企業營運與個人事務。
Today, these agents automate software development, enterprise operations, and personal tasks.
若賦予代理程式過多的自主權，它可能會以無法預測或有害的方式運作。
If an agent is granted too much autonomy, it may act in unpredictable or harmful ways.
專家強調，未來的重點不在於取代人類，而是建立一種「人在迴路中」的協作模式。
Experts emphasize that the future is not about replacing humans but creating a 'human-in-the-loop' collaboration.
隨著企業邁向代理型工作流程，嚴格的治理與明確的權限設定對於確保系統保持安全與合乎倫理至關重要。
As businesses move toward agentic workflows, strict governance and defined permissions are essential to ensure these systems remain safe and ethical.
最終目標是讓人工智慧處理繁重工作，同時將關鍵且敏感的決策權保留在人類手中。
Ultimately, the goal is for AI to handle the heavy lifting while humans retain control over critical, sensitive decisions.
