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March 17, 20260 citationsOpen Access

ArtificialIntelligenceForensicPsychologicalRiskAssessmentBrahamjotSingh. pdf

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BSBhupendra Singh

Key Points

  • The research aims to evaluate AI's role in improving forensic psychological risk assessments while addressing ethical challenges.
  • Reviewed AI technologies in forensic psychology.
  • Analyzed machine learning models and predictive analytics.
  • Investigated behavioral patterns and psychological indicators of criminal behavior.
  • AI can enhance predictive accuracy in criminal behavior assessments.
  • Identified ethical issues such as algorithmic bias and privacy concerns.
  • Stressed the need for integrating AI with professional forensic judgment.

Abstract

This study explores the role of Artificial Intelligence (AI) in forensic psychological risk assessment, particularly in predicting criminal behavior and identifying psychological risk indicators. Traditional forensic evaluations often rely on interviews and expert judgment, which may introduce subjectivity and bias. The research reviews emerging AI technologies such as machine learning models and predictive analytics used to analyze behavioral patterns, past criminal records, and psychological indicators in criminal justice systems. Alongside technological benefits, the study highlights ethical concerns including algorithmic bias, transparency limitations, and privacy issues. The paper emphasizes the importance of combining AI-based analysis with professional forensic judgment to ensure responsible and ethical application within forensic psychology.

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Cite This Study

Bhupendra Singh (2026) studied this question.

synapsesocial.com/papers/69b8f12fdeb47d591b8c616ahttps://doi.org/10.5281/zenodo.19026539
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