Examining whether model outcomes differ unjustifiably: Which purpose is served specifically by the bias

Bias testing evaluates whether model outputs differ unjustifiably across demographic or protected groups.

The question

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1. Examining whether the model's latency and throughput remain acceptable under realistic production load levels.

   Plausible but this describes performance testing, not evaluation of biased outcomes across groups.
2. Examining whether model outcomes differ unjustifiably across demographic groups or protected characteristics. ✓

   Bias testing checks for unjustified differences in outcomes across groups, a core fairness concern.
3. Examining whether individual functions return correct results in isolation before components are combined.

   Plausible but this describes unit testing, which verifies isolated components rather than fairness.
4. Examining whether the system resists adversarial inputs and unauthorized attempts to access its data.

   Plausible but this describes security testing, not measurement of biased outcomes across groups.

How to remember it

Bias testing evaluates whether model outputs differ unjustifiably across demographic or protected groups.

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