Robustness

Definitions

1. The ability of an AI system to remain useful and stable across noisy inputs, edge cases, shifting conditions, and small perturbations. Robustness matters because real users rarely provide the neat clean inputs seen in demos.

   In plain English: The ability to keep working well even under messy or changing conditions.

   Example: "The team prioritized robustness after discovering the classifier failed on low-quality scans and slightly unusual phrasing."

Related Terms

• AI Benchmark
• AI Fairness
• AI Hallucination
• Evaluation Metric
• Factuality
• Fairness Metric
• LLM Reliability
• Out-of-Distribution
• Bullet Proof