A critical AI system shows biased outcomes. What is the BEST course of action?

The correct answer is C. Perform root cause analysis to identify mitigation. When bias is detected, the first priority is to understand its origin before taking corrective action. Root cause analysis (RCA) determines whether bias stems from training data, model architecture, feature selection, labeling errors, or feedback loops - each requiring a…

AI Security Operations and Monitoring

Question

Options

AActivate the kill switch
BConduct audits of data and model
CPerform root cause analysis to identify mitigation
DRetrain the model with a new diverse dataset

How the community answered

(18 responses)

A
6% (1)
B
17% (3)
C
44% (8)
D
33% (6)

Explanation

When bias is detected, the first priority is to understand its origin before taking corrective action. Root cause analysis (RCA) determines whether bias stems from training data, model architecture, feature selection, labeling errors, or feedback loops - each requiring a different fix. Activating a kill switch (A) is overly drastic without diagnosis. Auditing data and the model (B) is part of RCA but is narrower in scope. Retraining on diverse data (D) may be the eventual solution, but doing so without identifying the root cause risks repeating the problem. RCA drives effective, targeted mitigation.

Topics

#AI Bias#Root Cause Analysis#AI System Remediation#AI Incident Management

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