人工智能在法医鉴定

E. V. Chesnokova, A. I. Usov, G. G. Omel’yanyuk, M. V. Nikulina
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引用次数: 0

摘要

本文综述了人工智能技术作为一门法医鉴定和法医专家活动的科学,在法医鉴定中研究能力和应用领域的问题。作者提出了人工智能在法医鉴定系统中引入方向的选择标准,特别是在其创新部分-法医鉴定活动管理系统中。人工智能技术在法医检验中的发展前景与基于专家情况的大数据处理、人工智能训练中使用的数据的可靠性以及应用训练方法的进一步验证(适用性评估)、人工智能技术结果的分析有关。为解决将人工智能技术纳入法律程序,特别是纳入法医鉴定的组织和法律问题,提出了一套规范其实施和使用的顺序、算法和程序的标准体系。与此同时,评估在法医检查中使用人工智能结果的适宜性应成为每个法医专家组织活动中的一个持续进程。这一过程的必要一致性决定了在人工智能技术发挥作用的条件下法医检查的更新范式,以及其实施和使用的整个过程的周期性。过程周期是一组不同层次的连续动作:人工智能技术的启动、第一级结果的评估(适用性)、人工智能技术更新版本的调整和实施、下一级的评估等。在GOST认证的ISO/IEC 17025-2019法医实验室中,这种系统活动虽然与人工智能无关,但已经实施,它对应于PDCA循环(P -计划,D -做,C -检查研究,A -行动)。因此,对于这样的实验室来说,在实施人工智能技术的过程中,对活动的组织和管理进行修改是最有机和可接受的。此外,在法医专业知识领域的所有人工智能工作都应考虑到《人工智能道德准则》的规定,该准则适用于在法医活动的各个阶段引入和使用人工智能技术的创造(设计、建造、试点)的道德方面的相关关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence in Forensic Expertology
The article reviews the issues of studying the capabilities and areas of application of artificial intelligence technologies (AI) in forensic expertology as a science of forensic examination and forensic expert activity. The authors have developed the criteria for choosing the direction for the introduction of AI in the system of forensic expertology, and specifically in its innovative section – the management system of forensic expert activity.The prospects for the development of AI technologies in forensic examination are associated with the processing of big data based on the expert situation, the reliability of the data used in AI training and further validation (assessment of suitability) of the applied training methodology, analysis of the results of AI technology. To solve organizational and legal issues of integrating AI technologies into legal proceedings and, specifically, into forensic examination, a system of standards regulating the order, algorithms and procedures for its implementation and use of is proposed. At the same time, the assessment of the suitability of the results of the use of AI in forensic examination should become an ongoing process included in the activities of each forensic expert organization. The necessary consistency of this process determines the updated paradigm of forensic examination in the conditions of functioning AI technologies in it and the cyclical nature of the entire process of their implementation and use. Process cycle is a set of sequential actions at different levels: initiation of AI technology, evaluation (suitability) of its results at the first level, adjustment and implementation of the updated version of AI technology, assessment of the next level, etc. In GOST accredited ISO/IEC 17025-2019 forensic laboratories such system activity, although not related to AI, has already been implemented, it corresponds to the PDCA cycle (P – plan, D – do, C – check study, A – act). Therefore, for such laboratories, the modification of the organization and management of the activities in the implementation of AI technologies is the most organic and acceptable. In addition, all work on AI in the field of forensic expertise should take into account the provisions of the AI Code of Ethics, which applies to relations associated with the ethical aspects of creation (design, construction, piloting) the introduction and use of AI technologies at all stages of forensic activities.
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