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False Assurance: If the AI incorrectly labels an "Ineffective" control as "Effective," management will rely on a false sense of security. This could lead to unmitigated risks, financial loss, or regulatory non-compliance. Audit Risk: This is a classic example of Detection Risk. Professional Skepticism: Auditors are required to exercise professional judgment. If an AI "hallucinates" or misinterprets a complex control environment, and the auditor fails to catch it, the credibility of the entire Internal Audit function is compromised.