Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
When Your AI Judge Predicts Recidivism Based on Zip Code
In episode 80 of AI Ethics with Fexingo, Lucas and Luna dive into the controversy around predictive algorithms used in the US criminal justice system to assess recidivism risk. They focus on the specific case of COMPAS, an AI tool that generated a national debate after a 2016 ProPublica investigation revealed it was twice as likely to falsely label Black defendants as high risk compared to white defendants. The hosts explore what went wrong—training on biased historical arrest and zip code data, lack of transparency in proprietary algorithms, and the downstream effects on bail decisions and…
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