Age-related biases in recidivism risk prediction within the Level of Service and Case Management Inventory 
Given the growing interest in the predictive validity of the Level of Service and Case Management Inventory (LS/CMI), researchers have overlooked potential biases within this tool. For this reason, age, a piece of information that is not included in the actuarial calculation of the LS/CMI, but which is considered essential by several researchers to assess and predict criminal recidivism risk, has been the subject of in-depth analyses. More precisely, the study proposes examining the profiles of offenders who have been subjected to a false prediction by the LS/CMI regarding criminal recidivism, based on age and factors interacting with it that do not appear in the tool. Consequently, decision tree analyses were conducted on a large sample of Quebec inmates and probationers (n = 9,807). The results suggest that false predictions are not random and that older offenders, especially those convicted of a sex crime or a drug-related crime, are more likely to experience it. There are several reasons to believe that these observations largely result from the actuarialization process of risk assessment tools, which favours the use of criminal recidivism predictors relevant only to a relatively homogeneous but large group of young adult offenders.