AI RESEARCH
A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation
arXiv CS.AI
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ArXi:2603.18201v1 Announce Type: new Artificial Intelligence (AI) systems are increasingly prominent in emerging smart cities, yet their reliability remains a critical concern. These systems typically operate through a sequence of interconnected functional stages, where upstream errors may propagate to downstream stages, ultimately affecting overall system reliability. Quantifying such error propagation is essential for accurate modeling of AI system reliability.