Authenticity of Using Artificial Intelligence Systems in Proving Electronic Evidence.

The digital age has brought a surge in technological advancements, impacting every facet of life. The emergence of artificial intelligence technologies and the achievements and radical changes they offer have led to the emergence of new types of crimes characterized by the use of electronic evidence and the use of machines to commit them. This has prompted governments, police and judicial authorities to use artificial intelligence technologies to help detect these crimes and reduce their occurrence. However, employing AI in the courtroom raises significant questions. Expand more Concerns surrounding the validity, weight in court, and proper limitations of evidence extracted using AI This research delves into the role of AI in evidence extraction and its admissibility within the legal system. The research focuses on the contemporary legal landscape, particularly regarding electronic evidence and its weight in court. It addresses the challenges posed by AI, such as relying solely on AI for crime investigation and prosecution, and the resulting legal complexities. The research aims to: • Define AI and electronic evidence. • Identify the different types and characteristics of electronic evidence. • Explore areas where AI can be applied in judicial evidence analysis. • Examine the weight given to electronic evidence in court. The research utilizes a combined scientific approach, employing both descriptive and analytical methods. It found that AI excels in data analysis, facial/eye recognition, and multimedia analysis, surpassing traditional computer programs. However, legal and legislative hurdles remain, along with challenges related to the weight of evidence, algorithmic bias, and deep fakes (manipulated videos). The research recommends a balanced approach. It suggests allowing AI use in courts with strict safeguards to protect liberties and ensure justice. These safeguards include upholding the presumption of innocence, carefully evaluating the weight of digital outputs, and thoroughly discussing them in court proceedings. Additionally, the research emphasizes the need for: • Updating laws and regulations to keep pace with AI advancements. • Educating law enforcement and judicial personnel on AI technologies. • Continuously seeking solutions to address algorithmic bias and other emerging challenges. By implementing these recommendations, we can leverage AI's potential while ensuring its ethical and responsible use in the judicial system. [ABSTRACT FROM AUTHOR]

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