Forks over knives: Predictive inconsistency in criminal justice algorithmic risk assessment tools

• Main Authors: GREENE, Travis, SHMUELI, Galit, FELL, Jan, LIN, Ching-Fu, LIU, Han-wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: algorithmic risk prediction; criminal justice; forking paths; multiverse analysis; pluralism; predictive inconsistency; specification curve analysis; Criminal Law; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sol_research/4397; https://ink.library.smu.edu.sg/context/sol_research/article/6355/viewcontent/jrsssa_185_supplement_2_s692.pdf
• Institution: Singapore Management University

Big data and algorithmic risk prediction tools promise to improve criminal justice systems by reducing human biases and inconsistencies in decision-making. Yet different, equally justifiable choices when developing, testing and deploying these socio-technical tools can lead to disparate predicted ri...