Augmenting Forensic Science Through AI: The Next Leap in Multidisciplinary Approaches

Abstract

Abstract: The field of forensic science has witnessed a remarkable evolution, transitioning from purely analog methods of evidence collection and analysis to highly sophisticated digital systems. Today, this transformation is gaining renewed momentum through the integration of artificial intelligence (AI). By leveraging the power of machine learning, pattern recognition, and data analytics, forensic science stands on the threshold of a revolution that will refine investigative processes and bolster the accuracy of results. This article examines the multidisciplinary nature of forensics, outlines contemporary scientific methods, and explores how AI-driven advancements promise to reshape the field. The synergy between specialists in chemistry, biology, digital forensics, criminology, and computer science is highlighted to demonstrate the inherent collaborative nature of modern investigations. Limitations such as data bias and ethical concerns are addressed, and prospects for near-future developments are discussed. The results indicate that, despite a few constraints, AI represents a tremendous opportunity for forensic science to become faster, more precise, and more efficient.

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