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A.I. Neuroprediction. Determining the probability of juvenile delinquency. A new future for criminal justice

Thu, September 4, 8:00 to 9:15am, Communications Building (CN), CN 2103

Abstract

A.I. Neuroprediction is a method of predicting criminal behaviour by finding biomarkers of brain function that can indicate that someone will commit crimes in the future. Recent developments in the world of neuroscience in combination with artificial intelligence have resulted in the creation of brain reading technologies. When used in forensic psychiatry, this approach can increase the precision of violence risk assessment. It is a known fact that individuals who engaged in delinquent behavior in childhood are more probable to carry on similar behavior in adulthood. If the factors that lead children to involve in delinquency are defined, the risk of dragging children into crime can be detected before they are involved in crime and delinquency can be prevented with appropriate preventive rehabilitation programs. The nature of this research is descriptive-prescriptive and uses content analysis. The result of this research is to dissect the development of A.I. Neuroprediction in forensic psychiatry and criminal justice, with attention to this technology's legal and ethical implications and potential applications. Through in-depth analysis of neurological data, in the future the A.I. Neuroprediction could assist in identifying behavioral patterns or tendencies that might influence a person's criminal propensity, thus enriching traditional forensic psychological evaluations.

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