Assessing the Responsibility for Bias in Criminal Risk Evaluations
Responsibility for bias in criminal risk assessments has become a critical concern within the broader context of algorithmic accountability. As machine learning models increasingly influence judicial decisions, questions about accountability and fairness demand rigorous examination. Understanding who bears responsibility—whether developers, institutions, or policymakers—offers essential insights into minimizing bias and enhancing the integrity of criminal justice…