Predictive algorithms used by courts to make bail and sentencing decisions are analyzed, with a focus on a 2016 ProPublica report showing bias against Black defendants. The segment suggests a Hegelian Dialectic is at play, where a problem is created via biased algorithms to justify a specific solution, such as the total removal of the bail system. The conversation extends to how these data-driven systems are also infiltrating healthcare and insurance.
