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Related Questions
- How can explicit language in prompts influence the outputs of machine learning models with biased training data?
- Can explicit prompts mask or amplify existing biases in a machine learning model?
- What are the implications of using explicit, potentially loaded language in prompt design for model fairness and generalizability?
- How can the creation of explicit prompts impact model fairness and transparency in contexts like decision-making and healthcare?
- What potential solutions can be employed to minimize the impact of biased or unfair explicit prompts in machine learning models?
- How can prompt engineering prioritize fairness and equity in designing explicit prompts for machine learning models?
- Are there specific best practices for using explicit prompts in language models that can help reduce potential fairness issues?
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