Bias testing, which examines the model's outputs across | AIGP
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Bias testing, which examines the model's outputs across: Which test type is specifically intended to detect

AIGP Understanding How to Govern AI Development Easy

Bias testing evaluates whether the model produces systematically different outcomes across demographic groups.

The question

A team plans a suite of tests for a new model, including unit, integration, performance, security and bias testing. Which test type is specifically intended to detect whether the model produces systematically different outcomes across demographic groups?

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  1. Performance testing, which measures the model's response time and throughput under load to confirm it meets its operational service targets.
    Plausible because performance testing is part of the suite, but it assesses speed and capacity, not disparities in outcomes across groups.
  2. Bias testing, which examines the model's outputs across demographic groups to detect systematic and unjustified disparities in outcomes. ✓
    Correct because bias testing specifically evaluates whether outcomes differ systematically across groups, which is the concern described.
  3. Security testing, which probes the system for vulnerabilities and attack paths to confirm that adversaries cannot compromise or misuse it.
    Plausible because security testing is listed too, but it targets confidentiality and integrity threats rather than demographic outcome disparities.
  4. Integration testing, which verifies that the model's components and surrounding services work together correctly once they are combined end to end.
    Plausible because integration testing is essential, but it checks that components interoperate, not whether outcomes are fair across groups.
The trap
Assuming performance or security testing captures fairness, when only bias testing evaluates outcome disparities across groups.

How to remember it

Bias testing evaluates whether the model produces systematically different outcomes across demographic groups.

How many of these would you get right?

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