Which of the following is a key feature of responsible AI systems?

Data latency refers to the delay in data processing and is a performance metric, not a core feature of responsible AI principles.

Low cost is an operational consideration for AI systems, but it is not a defining characteristic of responsible AI itself, which focuses on ethical and societal impact.

High throughput is a performance metric indicating the volume of data an AI system can process per unit of time, not a fundamental principle of responsible AI.

Robustness in AI systems means that a model maintains its performance and reliability even when encountering noisy, adversarial, or out-of-distribution data, which is essential for trusted and safe operation in real-world scenarios, making it a critical aspect of responsible AI. A robust system is less susceptible to failure or harmful behavior due to minor input changes.