# Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey ## 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: 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: ``` GET https://library.xrguild.org/privacy-and-policy/privacy-preservation-in-artificial-intelligence-and-extended-reality-ai-xr-metaverses-a-survey.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.