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Artificial Intelligence: Technology Applied on Criminal Justice

机译:人工智能:技术应用于刑事司法

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Technology has become an essential aspect of law enforcement routine, helping police officers on solving, preventing and even predicting criminal activity globally. Artificial Intelligence is one of many important tools police can rely on. The harmonic integration between men and machine is now an essential part for operations success on security enforcement. How artificial intelligence can address criminal justice needs? Which innovations we have available to improve public safety? This article will demonstrate how artificial intelligence (AI) has became a major resource in numerous ways. It is now the ultimate solution for criminal justice, based on big data, algorithmics and machine learning to detect different patterns on human behavior. Those solutions are mainly based on pattern identification, image scanning, face recognition, sociodemographic analysis, voice parameters, actions, conducts, movements, biometrics and even emotions acknowledgement, which are now being considered an excellent evidence for deception detection, fraud, violence and terrorists acts. It is also used on DNA documentation, ballistics and profiling. Unlike humans, machines do not tire. On the opposite, it is proven on several ways, to be better than humans. It is confirmed machines are very good on identifying anomalous patterns and learning new patterns faster than humans. AI technologies provide the capacity to detect, predict and evaluate, overcoming errors and present virtuous results. The more amount of data, more precise will be the outcome. AI algorithms can potentially be used as a very efficient observer, increasing the accuracy of police officers on their complex daily routine. Predictive analysis (ex. PREDPOL) is one of many examples we will show to demonstrate how important those solutions subsist and innovate the security context. Those systems process large volumes of information simultaneously, providing precise outcomes. This article will deeply investigate and compare several platforms used by different law enforcement units around the globe, pointing new solutions, challenges and potential developments needed. As a conclusion, we have noticed how important was the introduction of AI on law enforcement routine, performing risk evaluations, crime solutions and delinquency prevention.
机译:技术已成为执法常规的重要方面,帮助警务人员解决,预防甚至在全球预测犯罪活动。人工智能是警察依靠的许多重要工具之一。男性和机器之间的谐波整合现在是运营在安全执行方面的业务成功的重要组成部分。人工智能如何解决刑事司法需求?我们提供哪些创新以改善公共安全?本文将展示人工智能(AI)如何以多种方式成为主要资源。现在基于大数据,算法和机器学习来检测人类行为的不同模式,现在是刑事司法的最终解决方案。这些解决方案主要基于图案识别,图像扫描,面部识别,社会阶段分析,语音参数,措施,行为,运动,生物识别,甚至情感致谢,现在正在被认为是欺骗检测,欺诈,暴力和恐怖分子的优秀证据行为。它也用于DNA文档,弹道学和分析。与人类不同,机器不轮胎。在相反的情况下,它被证明有多种方式,比人类更好。它确认机器非常擅长识别异常模式,并比人类更快地学习新图案。 AI技术提供了检测,预测和评估,克服错误和呈现良性结果的能力。数据量越多,更精确将是结果。 AI算法可能被用作非常有效的观察者,从而提高了警察在复杂的日常生活中的准确性。预测分析(EX。Predpol)是我们将展示的众多示例之一,以展示这些解决方案自存和创新安全环境的重要性。这些系统同时处理大量信息,提供精确的结果。本文将深入调查,并比较全球不同执法单位使用的几个平台,指出新的解决方案,挑战和所需的潜在发展。作为结论,我们注意到了在执法程序中引入AI的引入,进行风险评估,犯罪解决方案和违规预防。

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