Artificial Intelligence in Forensic Sciences Revolution or Invasion? Part I

Lontai, Márton and Pamjav, Horolma and Petrétei, Dávid (2024) Artificial Intelligence in Forensic Sciences Revolution or Invasion? Part I. BELÜGYI SZEMLE / ACADEMIC JOURNAL OF INTERNAL AFFAIRS: A BELÜGYMINISZTÉRIUM SZAKMAI TUDOMÁNYOS FOLYÓIRATA (2010-), 72 (4). pp. 701-715. ISSN 2062-9494

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Abstract

Aim: The first half of the two-part study is on the emerging role of artificial intelligence in the forensic sciences. After clarifying the basic concepts and a brief historical overview, the possibilities of using AI in various forensic fields are discussed: genetics, pattern recognition, chemistry, toxicology, anthropology, forensic medicine, and scene reconstruction.Methodology: The study synthesises several recently published international papers.Findings: The penetration of the application of artificial intelligence into some fields of science is undoubtedly an ongoing process. Most of the varied forensic fields also cannot avoid this development. Analysing large databases unmanageable with traditional methods, pattern recognition, and machine learning can all be important tools for forensic science. However, an important conclusion is that AI is a supporter of human expert work, not a substitute.Value: In the field of forensic sciences, no such detailed summary article has been published in Hungarian so far.

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