The Role of Artificial Intelligence in Improving Criminal Justice System: Indian Perspective

Puneet Gawali, Reeta Sony
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引用次数: 1

Abstract

The increasing cyber-attacks have created havoc in the criminal justice system. Understanding the purpose of crime and countering it is the crucial task for the law enforcement agencies. This research aims to present how Artificial Intelligence and Machine Learning along with Predictive Analysis using soft evidence can be used in sorting out the existing criminal record while making the use of metadata, and therefore predicting crime. Furthermore, it would surely help out the police and intelligence bodies to smartly investigate the cases by referring to the database and thus help the society in curbing the crime by quicker and more effective investigation processes. It would also assist the analyst in tracking the activities and associations of various criminal elements through their recent activities, by extracting the particular details from the documents or records. Prediction of the crime can be understood through this research. The present study reflects the accuracy level of threat from 28 states of India. By researching on this topic, it becomes evident that if proper data is fed to this model, the chances of prediction are higher and more accurate. The study also tried to find out the psychosocial perspectives of the crime and what would be the reason of individual indulges in such crime. Abstract The emergence of the social media and its virtual communication space has enabled people at large to interact and communicate from the conventional mode of one-to-one to many-to-many. It exploded onto the technology in the last decades for commercial and entertainment purpose and rapidly it had become very much prevalent globally. Initiated as a friend-finder it went on to the extend encompassing every features of media where the users had a domi-nant role. When mass media and digital media was through certain modes, social media not only changed the mode but the creators and audience. From passive news listeners, it became active creators and sharers of contents in the form of information. With the enablement of technology, anybody with an internet access and own opinion can be part of social media. Under the guise of user-generated content, be it in sharing of news or opinion or images or videos and now even the live video promoting political, social, cultural aspects, social media do not hold any accountability because only users are producing contents. Also, being an intermediary, it is free from any liability for the user generated data under Indian Information Technology Act, 2008 and the existing global consensus under safe harbour doctrine. The law in this area is still relatively unsettled. The misuse of social media got reported with various incidents of such as impersonation, anonymity, profile account hacking, privacy threats, sexual or aggressive solicitation, cyber-bullying, and many such related serious issues. However, in all these matters, social media was provided with a benefit for its passive involve-ment of choosing the users or the contents posted. The liability was always on the content producers. It is certain degree of due diligence social media platform needs to observe that too very minimal! This paper endeavours to question the existing privilege available to social media at par with conventional media and also highlights the social-legal dilemma it put forth
人工智能在改善刑事司法系统中的作用:印度视角
越来越多的网络攻击给刑事司法系统造成了严重破坏。了解犯罪的目的和打击犯罪是执法机构的重要任务。本研究旨在展示人工智能和机器学习以及利用软证据的预测分析如何在利用元数据的同时整理现有的犯罪记录,从而预测犯罪。此外,它肯定会帮助警察和情报机构通过参考数据库来聪明地调查案件,从而帮助社会通过更快和更有效的调查过程来遏制犯罪。它还将通过从文件或记录中提取具体细节,协助分析人员通过各种犯罪分子最近的活动来跟踪他们的活动和联系。通过本研究可以了解犯罪的预测。目前的研究反映了来自印度28个邦的威胁的准确程度。通过对这一课题的研究,很明显,如果向该模型提供适当的数据,预测的机会更高,更准确。研究还试图找出犯罪的社会心理角度,以及个人沉迷于这种犯罪的原因。社交媒体的出现及其虚拟的交流空间,使人们从传统的一对一的交流方式向多对多的交流方式转变。在过去的几十年里,为了商业和娱乐目的,它迅速发展成为一种技术,并迅速在全球范围内流行起来。最初作为一个交友工具,它扩展到包括媒体的每一个功能,在这些功能中,用户占据主导地位。当大众媒体和数字媒体通过某种模式时,社交媒体不仅改变了模式,也改变了创作者和受众。从被动的新闻听众,转变为信息形式内容的主动创造者和分享者。随着技术的发展,任何能上网并有自己观点的人都可以成为社交媒体的一部分。在用户生成内容的幌子下,无论是新闻或观点的分享,还是图片或视频的分享,甚至是现在宣传政治,社会,文化方面的直播视频,社交媒体都不承担任何责任,因为只有用户在生产内容。此外,作为一个中介,根据2008年印度信息技术法案和安全港原则下现有的全球共识,它对用户生成的数据不承担任何责任。这方面的法律还比较不确定。滥用社交媒体的报道有各种各样的事件,如冒充、匿名、个人资料账户黑客攻击、隐私威胁、性或攻击性招揽、网络欺凌等许多相关的严重问题。然而,在所有这些问题上,社交媒体提供了一个好处,因为它被动参与选择用户或发布的内容。责任总是在内容生产者身上。这是一定程度的尽职调查社交媒体平台需要观察,太非常少了!本文试图质疑社交媒体与传统媒体同等的现有特权,并强调它所带来的社会法律困境
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