An AI system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as:
An AI system that maintains its level of performance within defined acceptable limits despite real-world or adversarial conditions is best described as robust.
Robustness refers to an AI system's ability to perform consistently and effectively under a wide range of conditions, including unexpected, challenging, or adversarial scenarios. This includes handling noisy data, outliers, or attempts to manipulate the system (e.g., adversarial attacks).
Why not the other options?
Reliable (B): Reliability refers to an AI system's consistency in delivering correct results under normal operating conditions over time.
Resilient (C): Resilience implies the ability to recover quickly from failures or disruptions, often focusing on bouncing back after an event.
Reinforced (D): This term is typically associated with reinforcement learnin.
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