QuestionQ7

Testing AI-Specific Quality Characteristics

A facial-recognition system is being deployed at airports to scan passengers’ faces and compare them with a vaccination database, in order to identify unvaccinated passengers during a pandemic.

Several components are involved, including cameras, a model that segments the image, and a model that identifies the face and matches it with a known photograph. It is important to have few false negatives and to ensure passengers cannot subvert the system.

Which ONE of the following testing types is the MOST appropriate for the tests selected during system testing?

Explanation

Adversarial testing assesses whether a facial-recognition system can be deceived or bypassed through deliberately manipulated inputs or presentation attacks. It directly addresses the requirement that passengers must not be able to subvert the system, while also helping identify attack-induced false negatives.

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