Models of Integrating Modern Technologies into Law Enforcement Activities

Dmitriy Bahteev, Anna Cvetkova
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Abstract

To counteract the development of criminal activity, law enforcement agencies need to employ new technologies. However, the current models of such implementation provide neither competitive advantage nor forensic efficiency. This article describes the existing models of integrating advanced technologies into law enforcement practice, as well as ways of their optimization. The paper considers the best practices and related risks. The authors relied on standard cognition methods and modeling to develop four key models of integrating modern technologies into crime investigation activities, i.e., 1) legislative consolidation, 2) implementation after the effectiveness has been experimentally verified, 3) departmental regulation, 4) independent initiative implementation. Each model demonstrated a number of advantages and disadvantages. On the one hand, they proved legal, effective, rational, and based on actual threats and risks. On the other hand, the legislative consolidation process is long: as a result, participants in criminal proceedings risk their rights. Moreover, no objective effectiveness assessment can be provided while scientific recommendations do not correlate with actual practice. The authors proposed a comprehensive model that can adapt to a particular technology. The model presupposes coordinated actions of scientists, practitioners, investigative authorities, and legislators. The article also introduces an algorithm that increases the effectiveness of forensic activities.
将现代技术融入执法活动的模式
为了应对犯罪活动的发展,执法机构需要采用新技术。然而,目前的实施模式既没有竞争优势,也没有取证效率。本文介绍了将先进技术融入执法实践的现有模式及其优化方法。本文考虑了最佳实践和相关风险。作者依靠标准的认知方法和模型建立了将现代技术融入犯罪侦查活动的四种主要模式,即:1)立法整合;2)效果经实验验证后实施;3)部门监管;4)独立倡议实施。每种模式都各有利弊。一方面,它们被证明是合法、有效、合理的,并以实际威胁和风险为基础。另一方面,立法整合过程漫长:因此,刑事诉讼参与者的权利面临风险。此外,无法提供客观的有效性评估,而科学建议又与实际情况不符。作者提出了一种可适应特定技术的综合模式。该模式的前提是科学家、从业人员、调查机构和立法者协调行动。文章还介绍了一种可提高法医活动有效性的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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