> For the complete documentation index, see [llms.txt](https://library.zoom.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://library.zoom.com/technical-library/zh-tw/ai/ai-whitepaper.md).

# Zoom AI 白皮書

歡迎閱讀 Zoom 的人工智慧白皮書文件，適用於 Zoom Workplace、網路研討會與活動。

### 如何使用本文件

這些頁面說明 Zoom 如何在其產品與服務中運用人工智慧，涵蓋 Zoom Workplace、網路研討會與活動。其他 Zoom 產品目前未包含在這些頁面中。部分章節說明支援平台上多項功能的共用 AI 能力，其他章節則逐一說明特定功能。由於 Zoom 的 AI 能力範圍廣泛，且通常會因產品而以不同方式運作，因此本文件依序分為從一般平台概念到更具體功能與資料流程的各個章節。

### 免責聲明

本文件僅供資訊參考之用。其描述並示範 Zoom 平台上的 AI 功能與能力，但不保證此處所述的任何功能、能力、整合或服務目前可依帳戶或部署環境而使用。

能否存取及使用這些功能，可能取決於訂閱方案、授權指派、管理員設定、地區可用性、產品設定、技術相容性、額度可用性、使用限制，以及其他商業或營運需求等因素。

最後更新：2026 年 6 月 23 日

{% content-ref url="/pages/2ef8e84b73df8243812865ccfb882907a645b23c" %}
[簡介：Zoom 中的 AI](/technical-library/zh-tw/ai/ai-whitepaper/introduction-ai-at-zoom.md)
{% endcontent-ref %}

{% content-ref url="/pages/b8b0cdf4a5037b51ed84bdb5d28a5487332a8327" %}
[模型、處理、儲存與使用](/technical-library/zh-tw/ai/ai-whitepaper/models-processing-storage-and-usage.md)
{% endcontent-ref %}

{% content-ref url="/pages/4a99a5049238013e85f5dca2124314d70e542353" %}
[Zoom AI 功能](/technical-library/zh-tw/ai/ai-whitepaper/zoom-ai-features.md)
{% endcontent-ref %}

{% content-ref url="/pages/9358b4a2bfaf84e5d76aedbd4560fb140add19cd" %}
[我的筆記](/technical-library/zh-tw/ai/ai-whitepaper/my-notes.md)
{% endcontent-ref %}

{% content-ref url="/pages/fbae1b51b027818887c322a35a205fac4f9be095" %}
[ZoomMate](/technical-library/zh-tw/ai/ai-whitepaper/zoommate.md)
{% endcontent-ref %}

{% content-ref url="/pages/21b517d008a26c0d341b184c395444139e8b552b" %}
[AI 生產力套件](/technical-library/zh-tw/ai/ai-whitepaper/ai-productivity-suite.md)
{% endcontent-ref %}

{% content-ref url="/pages/c68c6e5f3c1b408edfcf1a6cc702c5a3e673b959" %}
[圖表與資料流程](/technical-library/zh-tw/ai/ai-whitepaper/diagrams.md)
{% endcontent-ref %}

{% content-ref url="/pages/793383f9c5fb04ede85dced4fc2d3016ab638ffd" %}
[功能可用性表](/technical-library/zh-tw/ai/ai-whitepaper/feature-availability.md)
{% endcontent-ref %}

{% content-ref url="/pages/27447756ea6691c9ec83f9a6194e1f8b56258361" %}
[API](/technical-library/zh-tw/ai/ai-whitepaper/apis.md)
{% endcontent-ref %}

{% content-ref url="/pages/fc5b0bf53e2b858797d86564bc5c2eac319bebb6" %}
[管理控制項](/technical-library/zh-tw/ai/ai-whitepaper/administrative-controls.md)
{% endcontent-ref %}

{% content-ref url="/pages/99c639e957930221272665ddc4d7f3387ef460f4" %}
[Zoom 對負責任 AI 的承諾](/technical-library/zh-tw/ai/ai-whitepaper/zooms-commitment-to-responsible-ai.md)
{% endcontent-ref %}

{% content-ref url="/pages/8d81b2e7ff92421bb583913a12237b82f183622b" %}
[資料治理與隱私](/technical-library/zh-tw/ai/ai-whitepaper/data-governance-and-privacy.md)
{% endcontent-ref %}

{% content-ref url="/pages/215d57fc5063d68b8c94c73605168ffd119d90ff" %}
[安全框架](/technical-library/zh-tw/ai/ai-whitepaper/security-framework.md)
{% endcontent-ref %}

{% content-ref url="/pages/b1b0f95e5bd3ed63fa847fe66aa9492f9feaf2f6" %}
[使用者透明度與通知](/technical-library/zh-tw/ai/ai-whitepaper/user-transparency-and-notice.md)
{% endcontent-ref %}

*作者：Jakob Ganschow*


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://library.zoom.com/technical-library/zh-tw/ai/ai-whitepaper.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.