人工智能在发现和调查犯罪中的法医学应用

Q3 Economics, Econometrics and Finance
Anatoly V. Tarasov, Astemir R. Temzokov
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引用次数: 0

摘要

该出版物考虑了在揭露和调查犯罪过程中应用人工智能的法医方面。报告强调,在快速发展的数字环境和数字数据量不断增加的背景下,人工智能在执法领域变得越来越重要。分析了人工智能在自动分析证据、识别犯罪事件的模式和趋势以及预测犯罪方面的作用。此外,还评估了人工智能在法医学中应用的伦理和法律方面,如数据隐私和人权保护。概述了与缺乏基于人工智能数据的决策先例和规范基础相关的挑战。该研究强调了在将人工智能整合到打击犯罪过程中平衡创新和执法的重要性。因此,该出版物载有单独的结论和建议,以改进在揭露和调查犯罪中应用人工智能的法律机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forensic Aspects of the Artificial Intelligence Application in Uncovering and Investigating Crimes
The publication considers the forensic aspects of the application of artificial intelligence in the process of un-covering and investigating crimes. It is emphasized that, in the context of a rapidly evolving digital environment and an increasing amount of digital data, artificial intelligence is becoming increasingly important in the field of law enforcement. The role of artificial intelligence in automating the analysis of evidence, identifying patterns and trends in criminal events, and forecasting crime is analyzed. In addition, ethical and legal aspects of the application of artificial intelligence in forensics, such as data privacy and the protection of human rights, are assessed. Challenges related to the lack of precedents and normative bases for decision-making based on AI data are outlined. The study highlights the importance of balancing innovation and law enforcement when inte-grating artificial intelligence into crime-fighting processes. As a result, the publication contains separate conclu-sions and proposals for improving the legal mechanisms for the application of artificial intelligence in the un-covering and investigation of crimes.
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来源期刊
Finance: Theory and Practice
Finance: Theory and Practice Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
1.30
自引率
0.00%
发文量
84
审稿时长
8 weeks
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