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AI in different sectors of businesses has transformed industries, provided an added advantage and great improvements. Criminal investigation, a field that has depended on human decision making, physical evidence and muscle work, is slowly adopting AI as an improvement tool. Facial recognition system, use of big data and data analytics, predictive analytics, use of data mining and drill down analysis provide the law enforcement agencies with enormous powers of identification of suspects, prediction of their behavior and analyses of overwhelming data. However, application of AI in criminal investigation also gives us important legal, ethical and procedural considerations. AI in criminal investigation can help speed up investigation work, shorten the time to collect evidence, and solve cases, minimize the degree of human error and some shortcomings in traditional methods. However, there exist several issues and risks relating to privacy, methods of unfair discrimination, flexibility of regulation, exposure of sensitive information, and the ability of wrongdoers to misuse newfound knowledge. In addition, the existing legal model is insufficient to meet the constant growth of new AI solutions and thereby creates a gap between innovation and the law. For these reasons it is important to discuss the promising ways of using AI in investigation assessment in regards to the existing practices, legislation, and challenges.
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