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

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Human validation

Human validation

Human validation focuses on what happens after an AI system makes its decisions. Unlike human-in-the-loop or human oversight, human validation is an evaluation activity performed through audits. It involves reviewing the model's outputs to detect errors, bias, and unintended consequences. For example, a financial institution might use AI to approve loan applications automatically. Even if no human approves each decision in real-time, analysts can later audit a sample of the system's outputs to make sure approvals are fair and compliant with regulations. This kind of ongoing validation ensures that the AI continues to perform as intended and does not drift into biased or unsafe territory. Human validation is also essential in creative and generative AI systems. When an AI generates reports, marketing content, or policy recommendations, human reviewers should sample and audit the content for accuracy, appropriateness, and brand fit. These reviews help maintain quality and ensure that…

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