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What is the most effective approach to mitigating algorithmic bias across different demographic groups?
①Simply increase the model size.
②Randomly reduce data.
③Collect representative, diverse data, evaluate it using fairness metrics, and recalibrate.
④Just handle it by frequently retraining the model.
⑤Stabilize it by changing the random seed.