Law.com: UC criminologist explains risk assessment tools
Risk assessment tools are used across the U.S. to assign scores to defendants or convicted offenders based on the likelihood they will recommit crimes, fail to appear at pretrial hearings or commit a crime before those hearings. But, implemented in different jurisdictions, the same risk assessment tool can yield vastly different results, reports Law.com. Helping to shed light on the seeming discrepancy is University of Cincinnati criminologist Ed Latessa, a professor of criminal justice in the College of Education, Criminal Justice, and Human Services.
One common misconception about assessment tools is that they predict an individual’s recidivism or pretrial risk, Latessa explains. In reality, “they‘re not predicting [an] individual, they’re predicting a group,” said Latessa, who helped develop the Ohio Risk Assessment System (ORAS).
He adds, “A judge thinks if you’re standing in front of them and you scored low risk, you’re not going to [recidivate]. No—that just means you’re in a group with a low percentage of failure.”
Read the full story here.
Featured image at top: Handcuffs stock image, provided by Law.com
Related Stories
How will AI change the workforce?
February 25, 2026
UC Lindner College of Business Assistant Professor Jeffrey Shaffer shares his expertise with WVXU's Cincinnati Edition on how artificial intelligence is changing the employment landscape.
New study links gut makeup to celiac disease development
February 25, 2026
Specific genetic architecture in the gut microbial ecosystem can shape microbial composition in ways that are potentially relevant to the pathogenesis of celiac disease, according to a study published this month in Nature Genetics.
Companies see up to 700% return on political investments
February 25, 2026
Accounting professor Adam Olson recently published a study in the journal of Accounting, Organizations and Society called, “The effect of political connections on COVID-19 stimulus.” Using the COVID-19 stimulus checks as reference, his team looked at how much benefit companies got if they donated to certain PACs. This dataset was a new opportunity to measure direct impact, as usually benefits from donations take the form of tax breaks or new laws down the road, not a direct deposit of cash.