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Ethics, Algorithms, and the Rules of Evidence: New Era of AI-Driven Forensics
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Author(s): Abhishek Benedict Kumar (Symbiosis Law School, Symbiosis International University (Deemed), Pune, India)and Karun Sanjaya (Symbiosis Law School, Symbiosis International University (Deemed), Pune, India)
Copyright: 2025
Pages: 22
Source title:
Forensic Intelligence and Deep Learning Solutions in Crime Investigation
Source Author(s)/Editor(s): Christian Kaunert (Dublin City University, Ireland), Anjali Raghav (Sharda University, India), Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia)and Bhupinder Singh (Sharda University, India)
DOI: 10.4018/979-8-3693-9405-2.ch006
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Abstract
Forensic intelligence, combined with the power of deep learning, has made significant leaps in revolutionizing crime investigation by allowing law enforcement agencies to process complex data, identify patterns, and predict criminal behaviors with efficiency. Traditional forensic methods can be improved through machine learning techniques and the implementation of natural language processing, which alter digital investigations. A few key ways that these two approaches can benefit computer crime and digital forensic investigations include automating the analysis of evidence, enhancing the accuracy of biometrics, and detecting related hacking activities through traditional forensic methods. It supports data-driven policing and improves the speed of case settlements. Yet, concerns including algorithmic bias, data privacy, and legal admissibility of AI-generated evidence underscore the ethical and social implications of these technologies. This chapter will discuss the transformative power of forensic intelligence and deep learning and its applications, ethics, and future.
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