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

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Model risk assessment

Model risk assessment

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

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Model risk assessment

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Model risk assessment is a process of evaluating how an AI system performs under both normal and challenging conditions. Before deployment, every model should be tested to make sure it behaves safely, securely, and ethically. This step is especially important for large or complex models that interact directly with users or make sensitive decisions. Security-focused evaluation looks at more than just accuracy. It examines how the model responds to manipulation, bias, and compliance requirements. For example, an AI medical assistant should not only be accurate, it must also not reveal private patient data or offer advice that could cause harm. During model risk assessment, testers deliberately provide adversarial or misleading inputs to evaluate whether a model produces unsafe, biased, or unexpected outputs. outputs. They probe edge cases that push the model to its limits, ensuring it performs its core tasks reliably while adhering to established guidelines. The objective is to uncover…

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