Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses

AI security in immersive environments requires urgent attention: The paper identifies that as metaverse applications increasingly rely on AI for critical functions like avatar generation and network optimization, ensuring security is "profoundly crucial" to protect user privacy and safety, as vulnerabilities could "put their lives in danger."

Multiple technology layers create compounded security risks: The convergence of AI, extended reality (XR), 5G/6G communication, and other technologies in metaverse applications creates interconnected security challenges that go beyond traditional AI safety concerns, requiring holistic security approaches across all layers.

Adversarial threats pose real, concrete risks: The paper demonstrates metaverse-specific adversarial threats through a dedicated case study, showing that theoretical AI vulnerabilities translate into tangible risks within immersive virtual environments where users may be more susceptible to manipulation.

Current solutions are fragmented: The authors present a taxonomy of potential security and trustworthiness solutions, indicating that no single comprehensive approach currently exists—suggesting the field needs coordinated development of standards and best practices for secure AI-XR applications.

Significant research gaps remain open: The paper identifies various unresolved issues requiring further community research, indicating that responsible deployment of AI in metaverses is still in early stages and stakeholders should proceed cautiously while these gaps are addressed.