Algorithmic Accountability: What Biased Sentencing Data Reveals About the Limits of Mathematical Fairness
When mathematical models are used to determine criminal sentences, the consequences of flawed data extend far beyond a spreadsheet. This article examines how data science and algorithmic auditing are exposing systemic inequities in the justice system — and why tomorrow's technologists must be trained to interrogate the numbers behind high-stakes decisions.