Forensic Aspects of the Artificial Intelligence Application in Uncovering and Investigating Crimes

Q3 Economics, Econometrics and Finance Finance: Theory and Practice Pub Date : 2023-10-25 DOI:10.24158/tipor.2023.10.33
Anatoly V. Tarasov, Astemir R. Temzokov
{"title":"Forensic Aspects of the Artificial Intelligence Application in Uncovering and Investigating Crimes","authors":"Anatoly V. Tarasov, Astemir R. Temzokov","doi":"10.24158/tipor.2023.10.33","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":36110,"journal":{"name":"Finance: Theory and Practice","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance: Theory and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24158/tipor.2023.10.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能在发现和调查犯罪中的法医学应用
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。
求助全文
约1分钟内获得全文 去求助
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
期刊最新文献
Intention to Invest has a High Impact on Decision Making? New Contribution to the Planning Field of Financial Behavior in Indonesia Contagion in Commodity Markets under Financial Stress Application of a Model Life Cycle Concept to Investments in Artificial Intelligence Evaluation on the Example of Large Language Models The Road to Financial Resilient: Testing Digital Financial Literacy and Saving Behavior Financial Development of the Russian Federation: Problems of Measurement and Evaluation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1