> For the complete documentation index, see [llms.txt](https://library.xrguild.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://library.xrguild.org/privacy-and-policy/privacy-preservation-in-artificial-intelligence-and-extended-reality-ai-xr-metaverses-a-survey.md). # Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey The metaverse is an emerging virtual world where users interact, create, and engage in various activities. ## Overview **Authors:** Mahdi Alkaeed, Adnan Qayyum, Junaid Qadir **Publication Date:** 19 September 2023 **Link:** **Keywords:** Machine learning, metaverse, AI, VR, extended reality, mixed reality, homomorphic encryption, federated learning **Type:** Reviewed Journals/White Papers ## Summary The metaverse is an emerging virtual world where users interact, create, and engage in various activities. As it evolves, privacy concerns grow due to the vast collection of personal data. The metaverse relies on AI, XR, MR, and 5G/6G to enhance experiences but raises security risks. Protecting user data, securing interactions, and preventing unauthorized access are critical. This paper explores key privacy challenges and examines technical solutions like differential privacy, homomorphic encryption, and federated learning, along with broader sociotechnical issues. --- # 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.xrguild.org/privacy-and-policy/privacy-preservation-in-artificial-intelligence-and-extended-reality-ai-xr-metaverses-a-survey.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.