By Jenny L. Davis, Gertrude Conaway Vanderbilt Chair and Professor of Sociology at Vanderbilt University
Algorithmic bias is a perpetual problem. It is a problem rooted in history, manifesting in the present, and shaping the future into troubling form. This is not a problem with a technical fix, a box to be ticked, nor obvious actors to blame. It’s diffuse, entrenched, and the subject of significant attention.
That attention, framed through the prism of ‘fairness’, has not been especially effective, if effectiveness is measured in a greater justice and less harm. With each new advance—automated decision systems, facial recognition, generative AI—social stratifications replicate, amplify, and scale.
The fairness paradigm isn’t working. It’s time for something else. Here, I pose algorithmic reparation as an orienting framework and worldbuilding project, displacing fairness in favour of redress. This draws from a burgeoning movement across fields and domains.