From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Overreliance

Overreliance

Over-reliance on AI occurs when users place too much trust in the system's output and treat it as correct, safe, or authoritative without verifying the result. This issue is not a technical flaw in the model. It's a breakdown in human judgment in which people assume the model is right, even when it's not. You see this in customer service bots that approve refunds or resets without human review. You also see it in security tools that trigger actions based on AI-generated summaries that no analyst checks before execution. A medical AI assistant can produce diagnostic advice that sounds plausible and a clinician pressed for time follows those suggestions without a second look. If a model makes a subtle mistake, that decision can carry tremendous real-world consequences. Over-reliance grows when systems hide or downplay their uncertainty. If the interface presents confident answers, most users will not question them, even when those answers are wrong. When designers place models inside of…

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