Artificial_Intelligence_Forensic_Psychological_Risk_Assessment_BrahamjotSingh.pdf

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.19026539
Primary Topic
Psychopathy, Forensic Psychiatry, Sexual Offending
Type
article
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0.00
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article

Artificial_Intelligence_Forensic_Psychological_Risk_Assessment_BrahamjotSingh.pdf

Bhupendra Singh
Zenodo (CERN European Organization for Nuclear Research)
Psychopathy, Forensic Psychiatry, Sexual Offending
article

Artificial_Intelligence_Forensic_Psychological_Risk_Assessment_BrahamjotSingh.pdf

Bhupendra Singh
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Amity University (AE)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Psychopathy, Forensic Psychiatry, Sexual Offending
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