Abstract
This talk will examine how algorithms and AI are often repurposed for applications never conceived of by the original designers. Humans repurpose algorithms in part because of the illusion of objectivity and universality of mathematical formulations. Algorithms then become embedded in complex systems, often without humans or institutions understanding the assumptions, intentions or meaning of their predictions. The talk will examine examples of this phenomenon in criminal justice and medical equity with suggestions for how to mitigate unintended consequences. I will also describe a forthcoming interdisciplinary course in algorithmic justice for law students, social scientists, and computer scientists to understand algorithmic bias.