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The Future of Artificial Intelligence Applications in Forensics

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  • Victor-Andrei Carcale

    (Stefan cel Mare University, Suceava, Romania)

Abstract

Artificial intelligence (AI) is transforming forensic science by enhancing accuracy, efficiency, and investigative precision. Generative AI supports forensic psychiatry, behavioral profiling, and risk assessments, while deep learning models improve forensic odontology and biometric verification. AI-driven tools accelerate crime scene reconstruction, digital forensics, and DNA analysis, reducing processing time and human error. Intelligent systems analyze large datasets, aiding forensic experts in evidence interpretation and criminal profiling. In forensic medicine, AI enhances identification, ballistics analysis, injury assessment, and post-mortem interval estimation. Despite these advancements, ethical concerns persist regarding bias, privacy, and transparency in AI-based forensic decisions. Generative AI raises additional risks, requiring strict regulations and interdisciplinary oversight. The rise of AI-enabled cybercrimes and deepfake content further necessitates advanced security measures. The future of forensic AI relies on responsible governance, ensuring accuracy, fairness, and public trust in criminal investigations. Ethical AI frameworks are essential to balance technological innovation with justice and accountability.

Suggested Citation

  • Victor-Andrei Carcale, 2025. "The Future of Artificial Intelligence Applications in Forensics," RAIS Conference Proceedings 2022-2025 0523, Research Association for Interdisciplinary Studies.
    • Handle: RePEc:smo:raiswp:0523
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    1. Ramón A. Otón-Martínez & Francisco Javier S. Velasco & Francisco Nicolás-Pérez & José R. García-Cascales & Ramón Mur-Sanz de Galdeano, 2021. "Three-Dimensional Numerical Modeling of Internal Ballistics for Solid Propellant Combinations," Mathematics, MDPI, vol. 9(21), pages 1-22, October.
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