The correct answer is B. To simulate model risk scenarios.
Ethical red-teaming on an AI system involves deliberately testing the model by simulating challenging or risky scenarios to identify potential weaknesses, biases, or unintended behaviors. The primary purpose is to evaluate how the AI responds under stress or in edge cases, ensuring it behaves safely and ethically in real-world applications.
While improving accuracy (A), identifying security vulnerabilities (C), and ensuring legal compliance (D) may be secondary benefits, they are not the primary focus of ethical red-teaming.
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