Blogging

Bias shows up everywhere: in our instincts and increasingly in our algorithms. This guide breaks down debiasing techniques that reduce inequities in machine learning (pre-processing, in-processing, post-processing), explains the D3M case study, and connects it to evidence-based debiasing for human decision-making. You’ll also get practical best practices to diagnose bias sources, combine methods, and monitor fairness over time.