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AI's Transformative Role In Criminal Investigation And The Quest For Ethical Balance




Prabhakara Rao Karlapalem, Research Scholar, Noida International University, Noida


ABSTRACT


The integration of Artificial Intelligence (AI) in criminal investigation represents a paradigmatic shift in law enforcement methodology, offering unprecedented capabilities in data analysis, predictive policing and criminal investigations. This paper examines the multifaceted role of AI technologies across the criminal justice jurisdiction, from initial crime registration till forensic analysis. Contemporary AI applications include facial recognition systems like Clearview AI, predictive policing tools such as PredPol, risk assessment instruments like COMPAS and HART, and digital forensic platforms including Magnet AXIOM AI for comprehensive data extraction and analysis.


The study reveals AI's transformative potential in processing voluminous datasets, reconstructing crime scenes, identifying suspects through biometric analysis, and optimizing resource allocation for law enforcement agencies. Countries including the USA, UK, Germany, and India have increasingly deployed AI systems, demonstrating enhanced investigative efficiency, reduced human error, and improved decision-making support.


This paper notes significant ethical concerns emerge regarding output bias, data privacy violations, accountability issues, and threats to fundamental rights including presumption of innocence and fair trial guarantees. The "black box" nature of advanced AI systems raises questions about transparency and judicial acceptance of AI-generated evidence. Critical issues include biased data feeding leading to discriminatory outcomes, particularly affecting minority communities, and the insufficient legislative regulatory frameworks.


The paper concludes that while AI offers revolutionary investigative capabilities, realizing its full potential requires striking a delicate balance between technological advancement and ethical safeguards through comprehensive legislation, international cooperation, and robust accountability mechanisms to protect fundamental human rights while enhancing criminal justice efficiency.


Keywords: Artificial Intelligence, Criminal Investigation, Forensic Investigation, Bias, Ethics


Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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