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A New report from ProPublica On Thursday, it was published how the Louisiana Tiger government uses (targeted interventions to increase re -entry), a computer program developed by Louisiana State University to prevent oud, or to agree to conditional release requests on the basis of a degree calculated by the risk of returning to prison. Although the algorithm was initially designed to use it as a tool to help rehabilitate prisoners by taking their background in mind, the tiger degree – which uses data from the inmate time before prison, such as the date of work, criminal condemnation, and age at the first detention – is now the only measure of the individual eligibility.
In the interviews, many prisoners revealed that the scandalous conditional release listening sessions were suddenly canceled after the tiger’s degree decided that they were a “moderate danger” to return to prison. There is no tiger factor that takes into account the prisoner’s behavior in prison or rehabilitation attempts – the result that criminal justice activists argue that punished the individual’s ethnic and demographic background. (According to the current Ministry of Corrections data, half of the population of Louisiana, who number about 13,000, will automatically fall into moderate or high -risk categories.)
Among them was Calvin Alexander, a 70 -year -old blind man in a wheelchair, and he was in prison for 20 years, but he spent his time in drug rehabilitation, anger management treatment, and the development of professional skills, and had a clean disciplinary record. And he told ProPublica.
Conditional release by algorithm is not only legal in Louisiana, but rather an intentional element in the campaign of Republican Governor Jeff Landri against the conditional release. Last year, he signed law Eliminate the conditional release of all prisoners who committed a crime after August 1, 2024, which made Louisiana the first state to eliminate the conditional release in 24 years. Later law decree The prisoners currently imprisoned will not only be eligible for a conditional release if the algorithm decides that they are “low risks.”