The convergence of Artificial Intelligence (AI) and Machine Learning (ML) with forensic analysis marks a paradigm shift in how investigations are conducted, particularly in the digital age. This paper explores the tools, methodologies, and applications of AI and ML in forensic analysis, focusing on the acquisition, processing, and reporting of digital evidence. By leveraging advanced technologies, forensic investigators can automate labor- intensive processes, identify patterns across vast datasets, and enhance predictive capabilities. However, this integration also raises significant ethical concerns and technical challenges that must be addressed to ensure the reliability and accuracy of forensic outcomes. This paper provides an in-depth review of AI/ML-driven forensic tools, their applications in image, audio, and data forensics, and the potential benefits and limitations of such technologies.
The Integration of Artificial Intelligence and Machine Learning in Forensic Analysis: Tools, Methods, and Applications
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