Judicial Risk Assessment

Ian Arunga

In this speculative project, we "flipped the script" on a widespread narrative regarding the use of algorithmic risk assessment for criminal justice reform. Rather than claim to predict the criminal proclivities of those who are arrested, we developed an algorithm that assigns judges a risk score based on their likelihood of failing to adhere to the Constitution by unlawfully incarcerating someone before their trial. 

Key Contributors:
Rebekah Agwunobi, Chelsea Barabas, Colin Doyle, J.B. Rubinovitz

Research Topics
#artificial intelligence