Student Predictions & Protections: Algorithm Bias in AI-Based Learning – Illuminate Education
Like it or not, predictive technology is coming for all of us. Over the last few years, private industry has reaped the enormous benefits of artificial intelligence and other machine learning techniques.
This short article gives an example of how predictive algorithms can penalise underrepresented groups of people. In this example, students from Guam had their pass rate underestimated versus other nationalities, because of the low number of students in the data set used to build the prediction model, resulting in insufficient accuracy.