Which of the following BEST helps an organization manage bias in AI model decisions?
A.
Standardization of fairness criteria
B.
Human oversight and feedback mechanisms
C.
Data anonymization and classification
D.
Periodic model retraining
The Answer Is:
B
This question includes an explanation.
Explanation:
Bias is often subtle and context-dependent, making it difficult for automated systems to detect on their own. " Human oversight and feedback mechanisms " (Human-in-the-loop) allow domain experts to review model decisions and flag outcomes that appear discriminatory or unfair. According to the AAIA™ framework, these human feedback loops are critical for " correcting " the model ' s logic over time. While standardizing criteria (Option A) is a good starting point, humans provide the necessary " common sense " and ethical judgment that machines lack. Retraining (Option D) without human-validated data may simply reinforce the existing biases rather than eliminate them.
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