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Related Questions
- How do you currently gather patient feedback to identify biases in AI-driven healthcare interactions?
- What methods would you use to analyze patient feedback to identify cultural biases in our prompts?
- How can you ensure that the patient feedback is representative of diverse perspectives to minimize the risk of cultural biases?
- What red flags might indicate the presence of cultural biases in our prompts and how would you address them?
- Are there any techniques to adapt our prompts to better match the cultural values and contexts of our users?
- What is your approach to validation and re-validation of prompt cultural responsiveness over time to avoid inadvertently introducing biases?
- Can AI models identify cultural biases from the patients' responses based on factors like tone and sentiment when analyzing patient feedback?
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