Algorithms and Criminal Justice Reform
It’s no big secret that the United States has a prison problem. We lock up people at higher rates than any other nation, and there are huge racial disparities in who we lock up. According to a study from The Sentencing Project, African Americans are incarcerated in state prisons five times more than whites. There are lots of reasons for why we may see these racial disparities, including law enforcement practices, inequitable access to resources, and punitive sentencing policies. Keeping so many people in prison is also really expensive-- it costs roughly $80 billion a year, far more than we spend on many other essential public services. California, for instance, spends more than $70,000 per inmate but less than $12,000 per k-12 student.
As a result, there’s lots of momentum to reform our prison system. One popular strategy that has been gaining traction as part of this reform effort is the use of risk assessment tools. Like Netflix, these tools use algorithms to make predictions about behavior. While Netflix uses data to predict what videos you would like to watch, risk assessment tools use data to predict whether a person will commit a future crime. Depending on how the tools are used, they could help reduce prison and jail populations. For example, people who are less likely to commit a future crime could be released out of prison early, receive shorter prison sentences or avoid jail time in the first place. Rehabilitative programs and services could also be prioritized for those that are at a higher risk of committing future crimes.
While the tools may vary in purpose and how they are used, they all essentially work by assessing an individual’s risk factors. A risk factor is a characteristic that is associated with an increase in the likelihood of future criminal behavior. They are typically presented as questionnaires, and range in complexity including more simple questions about age, criminal history, education level to more complicated questions about personality and criminal attitudes.
The tools compare an individual’s answers to a database of past offenders that have been tracked over time to see if and when they re-commit a crime. Based on the actions of past offenders that share that individual’s risk factors, the tool predicts if that person is likely to re-commit a crime.