Puzzle Piece Challenge 🧩: Design a Bias Mitigation Strategy

Puzzle Piece Challenge 🧩: Design a Bias Mitigation Strategy for Rare Disease Treatment Recommendations

The Challenge:

We're tasked with developing a bias mitigation strategy for an AI system that recommends treatments for patients with rare diseases. The system has access to patient data, including genetic profiles, but only 5% of the data is from patients from underrepresented populations. This creates a significant bias risk, as the AI system may not accurately represent the needs of diverse patient populations.

Understanding the Bias Risks:

1. Lack of representation: With only 5% of the data from underrepresented populations, the AI system may not have enough information to accurately predict treatment outcomes for these patients.
2. Confirmation bias: The AI system may inadvertently reinforce existing biases by only suggesting treatments that are commonly used for patients from majority populations.
3. Data quality: Poor data quality, such as missing or i...

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