As a data scientist, I can tell you that the only way to ensure true fairness is to include a diversity of perspectives. This exam question is like a riddle wrapped in an enigma, wrapped in a burrito. Delicious, but complex!
Using data with more minority examples? That's an interesting approach, but I wonder if it might introduce its own set of biases. Tricky stuff, this AI fairness business.
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