Centro de Documentação da PJ
Analítico de Periódico
38814
From containment to transformation : how AI can support inmate rehabilitation and desistance = De la contención a la transformación : cómo la inteligencia artificial puede apoyar la rehabilitación y el desistimiento del delito / Pedro das Neves
Justice Trends, Covilhã, N.º 14 (2025), p. 62-65
CD 357.
REINSERÇÃO SOCIAL, ADMINISTRAÇÃO PENITENCIÁRIA, ESTABELECIMENTO PRISIONAL, POLÍTICA PRISIONAL, INTELIGÊNCIA ARTIFICIAL
Correctional services around the world continue to grapple with persistent challenges: overcrowded facilities, high recidivism rates, and insufficiently resourced rehabilitation efforts. While many of these issues must ultimately be addressed upstream in the justice system – through measures such as alternative sentencing, diversion programs, and efforts to reduce unnecessary incarceration – there is also a pressing need to strengthen the application of evidence-based rehabilitation practices within custodial and community settings. Approaches grounded in risk-need-responsivity (RNR) principles, individualized case management and cognitive-behavioral therapy, have proven effective in promoting desistance and supporting reintegration. Building on these foundations, there is growing promise that Artificial Intelligence (AI) can serve as a powerful tool to enhance, scale, and personalize such interventions. As agencies seek more humane, effective, and equitable solutions, AI is emerging as a valuable complement to professional expertise – supporting decision-making, optimizing resources, and improving outcomes for individuals and communities alike. From dynamic risk assessments to always-available mental health support, AI promises to enhance how we rehabilitate people in custody and during their transition back into society. But innovation in justice must be matched by responsibility. For AI to contribute meaningfully to public safety and rehabilitation, its implementation must be guided by strong policy, ethical frameworks, and a commitment to data integrity and inclusion. In corrections, perhaps more than anywhere else, the stakes are deeply human.
