Machine-learning models designed to mimic human decision-making can sometimes make harsher judgments than humans regarding rule violations. MIT researchers have found that machine-learning models often fail to replicate human decisions about rule violations. AI Models trained with descriptive data tend to over-predict rule violations compared to human judgments. The use of descriptive data to train machine-learning models can have serious impacts on criminal justice systems and many other areas. Artificial intelligence systems may make harsher judgments on rule violations based solely on rules, without human nuance. Normative data, labeled by humans who explicitly determine rule violations, is crucial for training … Continue reading MIT Study Reveals AI’s Rule Violation Failure: Disturbing Inaccuracies Uncovered