Automated Decision Making

Joi discusses the implications of automated decision-making in criminal justice, highlighting how risk scores can perpetuate social biases rather than address systemic issues. He emphasizes the importance of understanding the data behind these algorithms, which often reflect policing practices rather than true criminality. By integrating social sciences and history into research, he aims to challenge existing paradigms and advocate for meaningful change.