Criminal courts’ artificial intelligence: the way it reinforces bias and discrimination

Abstract

Embracive, pervasive, and unstoppable global algorithmization greatly influences the deployment of artificial intelligence systems in criminal courts to replace obsolete bail and sentencing practices, reduce recidivism risk, and modernize judicial practices. Since artificial intelligence systems have provably appeared to have the duality of golden promises and potential perils, applying such a system in the justice system also entails some associated risks. Hence, allocating this unchecked-novel resource in judicial domains sparks vigorous debate over their legal and ethical implications. With such backgrounds, this paper examines how and why artificial intelligence systems reinforce bias and discrimination in society and suggest what approach could be an alternative to the current predictive justice mechanisms in use.