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Is Artificial Intelligence Making Magistrates and Servants of the Brazilian Judicial Power Mentally Ill?

DOI: 10.4236/ijis.2025.153006, PP. 103-124

Keywords: Artificial Intelligence, CNJ Goals, Mental Illness, Extraordinary Backlog of Cases, Public Management, Decision Mechanization

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Abstract:

The CNJ’s Justice 4.0 panel revealed that 62 Courts had 140 AI projects under development, with 43 of these projects already in use. Of these 62 Courts, 41 Courts in the country (43.61%) started using Al tools to increase productivity (volume/time), despite the TRT of the 8th Region and the TRT of the 13th Region having been awarded the 2024 CNJ Quality Award, even without having an Al tool registered in the aforementioned panel, making us reflect on whether what was motivating 43.61% of Brazilian Courts to use Al (productivity) would justify public spending on this matter. The study became more intriguing when it was realized that none of the Al projects had been designed to prevent the illness of judges and civil servants, despite the increase in mental illness of magistrates and civil servants having been observed by the CNJ itself. Mental illness experienced a dizzying increase in 2023 when there was no ongoing pandemic, but Al was deeply embedded in the Judiciary, raising doubts as to whether the observed illness was due to Al tools or how managers were using them. Using the quantitative research method to approach numerical data and public statistics on the subject, as well as the descriptive qualitative method to understand the phenomenon under study and the technique of reviewing accessible literature, supporting literature and reviewing legislation, it was found that AI continued to be necessary given the increase in lawsuits and the quantity of lawyers in Brazil. It was also found that the AI tool was contributing to the illness of judges and civil servants due to the link between the fulfillment of Judiciary goals and the payment of compensation for the extraordinary backlog of cases, leading mentally ill judges not to take care of their health and use Al to ensure the receipt of compensation, generating a vicious, unhealthy cycle.

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