论文标题
迈向以用户为中心的指标，用于信任的AI在沉浸式网络空间中
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace
论文作者
论文摘要
AI在当前的网络空间和未来的沉浸式生态系统中起关键作用，这些生态系统可以确定用户体验。因此，这种AI系统的可信度至关重要，因为这些系统中的故障可能会造成严重的用户伤害。尽管在当前网络空间中探索可信赖的AI（TAI）指标的相关作品，但在系统性能和用户体验评估方面，对以用户为中心的服务（例如以用户为中心的服务）进行生态系统更为复杂，从而对现有方法的适用性构成挑战。因此，我们跨越了现有方法的历史道路，对公平，隐私和鲁棒性进行了忽视。最终，我们提出了一个研究议程，以在身临其境的生态系统中进行系统性但以用户为中心的TAI。
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.
