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Related Questions
- Can a high precision model unfairly penalize marginalized groups by incorrectly labeling them as part of a sensitive group, even if they are not?
- How can a tradeoff between precision and recall affect the representation of underrepresented groups within a model's predictions?
- In what ways can a model's precision-over-recall tradeoff impact the distribution of false positives and false negatives across different demographic groups?
- Can a model's focus on precision at the expense of recall exacerbate existing biases and perpetuate systemic inequalities?
- How can the precision-over-recall tradeoff influence the accuracy of model predictions for individuals from protected or sensitive groups?
- What are the potential consequences of prioritizing precision over recall in models used for high-stakes decision-making applications?
- Can a model's precision-over-recall tradeoff impact the ability to detect and mitigate biases in its own predictions and recommendations?
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