
Algorithmic Reparations: Why Your Legacy ML Systems Need More Than a Band-Aid
Picture this: you’re a software architect in 2025, staring at a decade-old machine learning system that’s been making hiring decisions for your company. The model works technically – it processes applications, spits out scores, and helps HR make faster decisions. But then you discover it’s been systematically disadvantaging certain demographic groups for years. Your first instinct? Apply some fairness metrics, maybe add a bias correction layer, and call it a day....