> 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/ai/ai-whitepaper/zooms-commitment-to-responsible-ai.md). # Zoom's Commitment to Responsible AI Zoom is committed to developing AI responsibly, with security and privacy at the core of the generative AI capabilities it provides to its customers. Zoom recognizes that AI presents an evolving set of risk considerations for its customers, and the company is committed to prioritizing transparency and customer choice as it brings generative AI features to market. In line with these commitments, Zoom has announced that it does not use any customer audio, video, chat, screen sharing, attachments, or other communications-like customer content (such as poll results, whiteboard, and reactions) to train Zoom’s or its third-party artificial intelligence models. Zoom provides certain controls at the account, group, and/or user levels, allowing administrators to manage which Zoom AI features or capabilities they wish to make available for specific Zoom product offerings and which users have access. For example, for Zoom Meetings, administrators can enable the Zoom AI features at the account level and meeting hosts and participants can choose whether to activate and use them for specific meetings. To provide transparency, Zoom meeting participants will see in-product indicators related to the Zoom AI features that are activated for that meeting. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://library.zoom.com/ai/ai-whitepaper/zooms-commitment-to-responsible-ai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.