Reliability
The ability of an AI system to perform consistently and correctly under specified conditions over time.
Definitions (2)
The degree to which an AI system performs accurately, robustly and predictably over time and across contexts, assessed through testing, validation, monitoring and mitigation measures to reduce failures and maintain safe operation.
AI applications will have explicit, well-defined use cases and be developed and used in a robust, secure, and effective manner.
Related Terms
Robustness
The ability of an AI system to maintain acceptable performance and resist failures, attacks, or unexpected conditions across its lifecycle....
Accuracy
Measure of how close an AI system’s outputs are to true or accepted values; usually expressed by statistical metrics (e.g., TP/TN/FP/FN-based rates)....
Resilience
An AI system's ability to recover from failures, adapt to changing conditions, and maintain acceptable operation under stress....