BEYOND BLACK BOXES: INTERPRETABLE AI FOR ENHANCED RISK ASSESSMENT AND ETHICAL DECISION-MAKING IN FORENSIC PSYCHIATRY

Autores

  • Yasmin Vitória Carvalho de Castro Centro Universitário São Lucas
  • Kelly Yumi Morii Centro Universitário São Camilo
  • Igor Araújo Santos UniFG
  • Afrânio Côgo Destefani EMESCAM
  • Vinícius Côgo Destefani DynMolLab

DOI:

https://doi.org/10.51891/rease.v10i8.15298

Palavras-chave:

Forensic Psychiatry. Artificial Intelligence. Risk Assessment. Ethics, Professional. Decision Making.

Resumo

The increasing adoption of artificial intelligence (AI) in forensic psychiatry has sparked discussions about its potential to revolutionize risk assessment, diagnosis, and treatment. However, the use of 'black box' AI models, which lack transparency and interpretability, has raised significant ethical concerns. This narrative review explores the current state of AI in forensic psychiatry, with a focus on developing interpretable AI models for enhanced risk assessment and ethical decision-making. The article underscores the importance of considering social and environmental factors alongside neurobiological data in AI-based predictions and discusses AI's legal and ethical implications in forensic contexts. The review concludes by emphasizing the need for interdisciplinary collaboration and responsible evaluation of AI models before widespread adoption in high-stakes decision-making processes within forensic psychiatry and criminal justice.

Biografia do Autor

Yasmin Vitória Carvalho de Castro, Centro Universitário São Lucas

Centro Universitário São Lucas (Porto Velho/RO). 

Kelly Yumi Morii, Centro Universitário São Camilo

Centro Universitário São Camilo. 

Igor Araújo Santos, UniFG

Centro universitário UniFG. 

Afrânio Côgo Destefani, EMESCAM

Santa Casa de Misericórdia de Vitoria Higher School of Sciences - EMESCAM. Santa Luíza – Vitória ES Brazil, Molecular Dynamics and Modeling Laboratory (DynMolLab.

Vinícius Côgo Destefani, DynMolLab

Molecular Dynamics and Modeling Laboratory (DynMolLab). Santa Luíza – Vitória – ES – Brazil.

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Publicado

2024-08-21

Como Citar

Castro, Y. V. C. de, Morii, K. Y., Santos, I. A., Destefani, A. C., & Destefani, V. C. (2024). BEYOND BLACK BOXES: INTERPRETABLE AI FOR ENHANCED RISK ASSESSMENT AND ETHICAL DECISION-MAKING IN FORENSIC PSYCHIATRY. Revista Ibero-Americana De Humanidades, Ciências E Educação, 10(8), 2475–2479. https://doi.org/10.51891/rease.v10i8.15298