  AI plays a key role in current cyberspace and future immersive ecosystems
that pinpoint user experiences. Thus, the trustworthiness of such AI systems is
vital as failures in these systems can cause serious user harm. Although there
are related works on exploring trustworthy AI (TAI) metrics in the current
cyberspace, ecosystems towards user-centered services, such as the metaverse,
are much more complicated in terms of system performance and user experience
assessment, thus posing challenges for the applicability of existing
approaches. Thus, we give an overlook on fairness, privacy and robustness,
across the historical path from existing approaches. Eventually, we propose a
research agenda towards systematic yet user-centered TAI in immersive
ecosystems.
