法医学
计算机科学
人工智能
法医人类学
领域(数学)
数据科学
工程伦理学
工程类
社会学
人类学
历史
考古
数学
纯数学
作者
Márton Lontai,Horolma Pamzsav,Dávid Petrétei
出处
期刊:Belügyi szemle
[Belugyi szemle]
日期:2024-04-27
卷期号:72 (4): 577-592
标识
DOI:10.38146/bsz-ajia.2024.v72.i4.pp577-592
摘要
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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