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Home / Glossary / Silent Failure in AI

What is Silent Failure in AI?

Silent Failure in AI refers to a failure mode in which an AI system continues to run without an explicit error but produces degraded, incomplete, or incorrect outputs. Because the system appears normal, the issue may remain unnoticed until business impact becomes visible.

Related Glossaries

  • Execution Drift Execution Drift refers to a change in AI behavior caused by shifts in execution context rather than by model updates. These shifts may come from changes in data state, prompt context, or pipeline structure.
  • Reproducible AI Execution Reproducible AI Execution refers to the ability to run an AI workflow again under the same data state and execution conditions. The goal is not simple repetition of outputs, but the ability to restore and explain the state and conditions…
  • Data Integration Data integration is the process of combining data from multiple sources into a unified view, enabling seamless data analysis and interoperability. It is essential for enterprise data management, business intelligence, and AI applications. Common data integration tools include ETL (Extract,…
  • Personal Data Protection Bill The Personal Data Protection Bill (PDPB) is a proposed legislative framework aimed at defining rules for data collection, storage, and security. It sets out provisions for user consent, data processing limitations, cross-border data transfers, and penalties for non-compliance. The PDPB…
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