Stress Testing
The evaluation of AI systems under extreme or edge-case conditions to identify failure modes, vulnerabilities and performance degradation thresholds.
In plain language
Pushing an AI to its limits to see where it breaks. What happens with extreme inputs? Conflicting data? Massive volume? It's like crash-testing a car to find its weak points.
Why this matters
Stress testing is a mandatory governance activity before any AI system enters production. It reveals failure modes and performance boundaries that standard testing may miss, helping your organisation understand when and how the AI may produce unsafe or unreliable results.
Relevance
ImplementationProvides a concrete testing methodology to validate AI robustness and identify operational thresholds before deployment, reducing risk in production environments.
Related terms
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