Why Understanding Racial Bias is Crucial for the Responsible Use of Predictive Analytics
As big data tools like predictive analytics become more prevalent, child-welfare agencies must grapple with implicit racial bias if they want to ensure that it does not cause harm, according to a new white paper published last month by the Kirwan Institute at Ohio State University.
Accounting for Racial Bias When Applying Predictive Analytics to Child Welfare
Research on implicit racial bias teaches us that individual-level, subjective decision-making practices are likely to generate biased outcomes. In fact, humans’ capacity to make objective, logical decisions is severely limited by a variety of systematic decision-making errors and external distractions.