# Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) For Metaverses ## Overview **Authors:** Adnan Qayyum, Muhammad Atif Butt, Hassan Ali, Muhammad Usman, Osama Halabi, Ala Al-Fuqaha, Qammer H. Abbasi, Muhammad Ali Imran, Junaid Qadir **Publication Date:** October 24, 2022 **Link:** **Keywords:** Metaverse, AI-XR, Privacy, Security, Trustworthiness, Adversarial Threats, Blockchain, Machine Learning Extended Realtiy, Digital Twin **Type:** Peer-Reviewed Journals/White Papers ## Summary A paper attempting to analyze the security, privacy, and trustworthiness aspects associated with the use of various AI techniques in AI-XR metaverse applications. --- # 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/ai-ethics/secure-and-trustworthy-artificial-intelligence-extended-reality-ai-xr-for-metaverses.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.