Neuro_Prediction & AI Confluence in Forensic/Criminal Justice System

Posted: 23 Dec 2022

See all articles by Ekata Deb

Ekata Deb

Christ University, Dept of Psychology. ; Brainware University, Dept. of Law. ; Jain (Deemed to be) University - School of Humanities and Social Sciences

Date Written: December 9, 2022

Abstract

Artificial intelligence and Machine Learning are increasingly used in fundamental science and clinical neurology. Large multimodal datasets may be interpreted using AI techniques, offering impartial insights into the underlying principles of brain activity. This might pave the way for faster and more precise diagnoses of brain illnesses and better-informed treatment procedures. While AI can make precise predictions and classifications, it often cannot explain how inputs and outputs mechanically connect to one another. Here, a brief analysis of state of the art is presented with an overview of some of the latest techniques in explainable artificial intelligence (XAI), which aims to provide such an explanation.

Keywords: Behavioral science, Neuroscience, Artificial Intelligence, Recidivism, Neuroprediction, Forensics, Criminology.

Suggested Citation

Deb, Ekata, Neuro_Prediction & AI Confluence in Forensic/Criminal Justice System (December 9, 2022). Available at SSRN: https://ssrn.com/abstract=4297690

Ekata Deb (Contact Author)

Christ University, Dept of Psychology. ( email )

Hosur Main Road
Central Campus
Bengaluru, 560029
India

Brainware University, Dept. of Law. ( email )

kolkata

Jain (Deemed to be) University - School of Humanities and Social Sciences ( email )

Atria Towers
No.1/1-1, Palace Road
Bangalore, Karnataka 560001
India

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