AI IN DIGITAL FORENSICS
DOI:
https://doi.org/10.59828/ijsrmst.v3i5.208Keywords:
Future Proofing Forensic Practices, Intigration, Process, Benefits, Types, ToolsAbstract
Writing a research paper on AI in digital forensics is important because it has the potential of emerging technologies in forensics.
AI and machine learning can transform digital forensics by increasing productiveness and perfection, allowing automated analysis of vast and complex data sets, which is essential as digital evidence grows in volume and complexity. Moreover, AI integration brings new challenges, which includes algorithmic biases and the want for robust validation strategies, which require cautious exam to ensure dependable and honest forensic practices. This research can also delve into the legal and ethical implications of AI, including privacy concerns and the effect of automatic choice-making, contributing to the improvement of pointers and standards. Additionally, it serves as an educational resource, selling know-how among practitioners, researchers, and college students. By exploring the intersection of AI with digital forensics, the studies foster move-disciplinary collaboration and innovation, and helps count on future traits and instructions inside the field.
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