P‐4.33: Trustworthy Metaverse: A Comprehensive Investigation into Security Risks and Privacy Issues in Artificial Intelligence‐Extended Reality Systems

Abstract

The imminent emergence of the Metaverse heralds a paradigm shift in the digital landscape, promising immersive, customized experiences across social, professional, and recreational realms within self‐sustaining virtual domains. This evolution, fueled by the fusion of augmented, virtual, and mixed realities with artificial intelligence, holds transformative potential. However, with progress come inherent risks. In the realm of AI‐driven extended reality (AI‐XR) applications, addressing security and privacy is paramount to engendering user trust. Safeguarding against potential threats is crucial, especially in critical domains like the Metaverse, to ensure user privacy and safety. In this paper, we embark on a exploration of the security and privacy landscape within AI‐XR environments. By dissecting the foundational concepts and vulnerabilities at the nexus of AI, XR, and the Metaverse, we aim to uncover potential attack vectors. Through the lens of a novel taxonomy, we delineate these risks and chart a course for addressing them, examining current challenges and future trajectories in securing the integrity and trustworthiness of AI‐XR systems.

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