An AI auditor uses counterfactual testing during an audit of a hiring algorithm. Which of the following BEST describes what this testing technique reveals?
Select an answer to reveal the explanation.
Short Explanation
Counterfactual testing flips a protected attribute while keeping everything else the same, so you can see if the hiring model changes its decision because of that attribute. If it does, that's a red flag for discrimination.
Full Explanation
Counterfactual testing, also called individual fairness testing, changes a protected attribute such as gender or race while holding all other features constant to see whether that attribute influences the model's decision, which would indicate discriminatory behavior. The option about identical inputs producing the same output describes consistency or reproducibility testing. The option about degraded performance with random noise describes robustness testing. The option about reproducing weights from the same seed describes reproducibility of training.