From Redlining to Digital Redlining
Digital footprints serve discriminatory purposes similar to traditional forms of redlining that are now outlawed. Academic IT policies risk complicity with such discrimination.
Chris is a Professor of English at Macomb Community College. His scholarship concentrates on privacy, institutional tech policy, digital redlining, and the re-inventions of discriminatory practices through data mining and algorithmic decision-making, especially as these apply to college students. His forthcoming article, “The New Pythagoreans,” looks at how popular misunderstandings of mathematical concepts create the illusions of fairness and objectivity in student analytics, predictive policing, and hiring practices.