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Bridging Forensic Science, Legal Standards, and Artificial Intelligence: Navigating Challenges and Innovations
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Author(s): Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Richa Raghav (Sharda University, India), Anjali Raghav (Sharda University, India)and Ashima Jain (Manipal University Jaipur, India)
Copyright: 2025
Pages: 20
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.ch003
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Abstract
The analytical framework outlines the intersection of forensic science, legal standards, and artificial intelligence (AI); the potential of AI as a transformative technology; as well as the challenges it poses when integrated into forensic applications. This technology provides forensic specialists with benefits to speed up processes, enabling more effective investigation efforts. But the use of AI in the law poses serious concerns about dependability, transparency, and fairness. This chapter delves into the current legal standards surrounding forensic evidence, evaluates the impact of AI-based techniques on these frameworks, and calls for strengthened regulatory responses to uphold the admissibility and integrity of AI-supported forensic evidence in the legal process. By examining case examples and recently observed tendencies, this chapter seeks to offer an effective guide on the potential routes for incorporating artificial intelligence into forensic science at an appropriate balance with legal ideals and individual rights considerations.
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