Explore a thought-provoking conference talk that challenges the ethical framework surrounding actuarial risk assessment in the criminal justice system. Delve into the history of risk assessment, examine the role of machine learning, and critically analyze the concept of static risk. Investigate the potential for algorithmic violence and the importance of causal inference in decision-making processes. Gain insights into alternative approaches that prioritize interventions over predictions, and participate in a discussion that aims to reframe the ethical debate surrounding these crucial issues.
Interventions over Predictions - Reframing the Ethical Debate for Actuarial Risk Assessment
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
History of Risk Assessment
Machine Learning
Risk as Static
Algorithmic Violence
Causal Inference
Discussion
Questions
Taught by
ACM FAccT Conference