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Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace

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arxiv 2203.03718 v1 pith:RIVBWFEV submitted 2022-02-22 cs.CY cs.AI

Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace

classification cs.CY cs.AI
keywords cyberspaceecosystemsimmersivethustowardsuseruser-centeredapproaches
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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