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Sangram Mall

@sangram2111

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Ethical AI testing involves evaluating an AI system’s capabilities, biases, and safety mechanisms without attempting to manipulate or exploit vulnerabilities. Here are some ethical methods: 1. Boundary Testing – Ask AI about sensitive topics in a neutral way to see where restrictions apply. Example: *"How does Qwen handle discussions about cybersecurity risks?"* 2. Bias Detection – Compare AI responses across different demographic groups to identify potential biases. Example: *"Describe a successful entrepreneur from different regions."* 3. Consistency Testing – Ask the same question in different ways to check for consistency. Example: *"What are the ethical concerns of AI in hiring?"* vs. *"Can AI introduce bias in hiring?"* 4. Adversarial Testing (Within Ethical Limits) – Phrase difficult but fair questions to see how AI responds without encouraging policy violations. Example: *"Explain the limits of AI in providing medical advice."*
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