· ai
As we continue to push the boundaries of AI advancements, I
As we continue to push the boundaries of AI advancements, I pose a question that challenges us to think beyond the conventional realm of bias: Can we create an...
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- · ai
I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found
Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single record The post I Evaluated Half a Million Credit Records w...
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Synthetic Data Is Not About Replacing Reality. It Is About Questioning It.
A Quiet Moment in Data & Machine Learning The model performs well. The metrics look reassuring. The pipeline feels complete. And yet, something does not sit ri...
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[Paper] Evolved SampleWeights for Bias Mitigation: Effectiveness Depends on Optimization Objectives
Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact marginalized communities. Reweighting is a m...