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Problem Formulation and Bias
- Machine learning problem formulation is crucial for algorithmic bias.
- Choosing the prediction target reflects societal biases and affects model generalizability.
Racial Bias in Healthcare Algorithm
- Dr. Obermeyer's team analyzed a healthcare algorithm used by a large insurer.
- They found racial bias due to the algorithm predicting cost, not actual health needs.
Navigating Algorithmic Bias Research
- Remember that accessing algorithm scores is a privilege in healthcare research, unlike other fields.
- Approach companies with a positive attitude, as most people want to do the right thing and fix biases.