TRANSFORMING CRIME SCENE INVESTIGATIONS THROUGH THE INTEGRATION OF ARTIFICIAL

Abstract

The integration of Artificial Intelligence (AI) into digital forensics has significantly enhanced Crime Scene Investigations (CSI) by improving efficiency, accuracy, and overall investigative throughput, while also strengthening the admissibility of digital evidence in legal proceedings. This study demonstrates that AI-driven techniques can reduce the time required for critical forensic tasks by up to 93%, with metadata extraction time decreasing from 10 hours to just 2 hours. Significant performance improvements were observed across multiple domains: facial recognition accuracy increased from 70% to 88%, while object detection in video analysis improved from 65% to 90%. Automation further reduced manual workload, achieving an 80% reduction in feature extraction effort and an 88% reduction in report generation time. Additionally, the legal acceptance of AI-generated evidence has improved, with predictive analytics admissibility rising from 70% to 85%. These findings highlight the transformative potential of AI in digital forensic science, enabling faster, more reliable investigations and enhancing overall judicial outcomes.