Balancing AI and Judicial Conviction in Criminal Evidence

Abstract

The aim of this study is to keep pace with the rapid progress in the field of technology, many sectors have begun to accept artificial intelligence and its various applications, to save effort and time, and striving to obtain more accurate results. One of these sectors that use artificial intelligence is the judiciary in the field of criminal evidence, as these technologies are used in criminal justice, especially in the field of detecting and tracking crimes and accelerating the identification of their perpetrators through complex algorithmic systems that can identify the accused who committed the crime after feeding them with information. Use of artificial intelligence in criminal justice raises problems related to the validity of its results in building the judge's conviction, and this requires the development of legal legislation regulating its practical applications and keeping pace with its developments. This research aims to demonstrate the extent to which these technologies can be used in the field of criminal evidence and the crystallization of the judge's conviction: in terms of their nature and legal validity. Based on this, legal systems and criminal justice institutions must prepare themselves to confront the rapid changes and developments caused by artificial intelligence and be able to confront it and benefit from it in improving criminal justice systems