What is the primary role of technology in relation to current criminal law? new technology is giving rise to new types and forms of crime. Today, law enforcement can use technology to detect and solve criminal activities that occur in the moment. Instead of reacting, these technologies allow law enforcement to be more proactive. The increased use of databases has also led to the development of rapid identification systems. These systems are designed to allow law enforcement officers to quickly access people's criminal records using basic search functions.
This means that detained people can be instantly identified through a computer search in the car, even if they don't have a license. New technological advances are improving the way law enforcement agencies work in virtually all areas of criminal conduct, including the detection of drug-related crimes and laws on drug-related crimes. Nowadays, artificial intelligence is used even more actively in criminal proceedings and investigations. Artificial intelligence in criminal law involves a technological process (algorithms, language processing, computer vision) designed to perform tasks that normally require human intelligence, human intervention. All of these technological processes are focused on increasing the efficiency of the investigation and justice process.
In this sense, even today, one of the main missions of artificial intelligence in criminal law is prediction. In particular, the analysis of existing data based on various sources, for the prediction and prevention of crimes in the future. A good example is the experience of the Los Angeles Police Department (LAPD), which introduced the Predpol program for a more efficient use of police resources and, consequently, to increase the efficiency of police work. The Chicago Police Department uses artificial intelligence to identify people who are at high risk of committing acts of violence. This has helped prevent violence across the state.
LaMacchia, the defendant, a 21-year-old student at the Massachusetts Institute of Technology, created an electronic bulletin board on the Internet that could be accessed by anyone. Therefore, a defendant who breaks into the victim's office and steals or photocopies the victim's files has at least committed the crime of burglary and may have also committed the crime of theft of common or legal property. The legislation was necessary in part because the previous law did not adequately address the problem of computer viruses. Federal law punishes as a misdemeanor the disclosure by government employees of confidential information, which is broadly defined.
Under appropriate circumstances, actions that constitute negligent or reckless conduct can support criminal proceedings in the United States or abroad, where criminal negligence is a much more accepted concept. This technology allows officers to determine if a vehicle has been stolen or if there is an arrest warrant against the driver. Investigators, prosecutors, judges, lawyers and juries are often unfamiliar with the technology and its applications, further complicating the prosecution of these crimes. Law enforcement can access a person's historical telephone records through the cell phone provider.
Once again, the law requires placing old wine in new bottles and taking into account traditional criminal concepts and customary law to define prohibited activities. Palm fingerprints, fingerprints, facial recognition, iris recognition, and other tools are used to compare people with their criminal records. In addition to anti-fraud guidelines, federal law also punishes electronic eavesdropping, that is, the interception of electronic communications. Therefore, criminal law has applied the so-called rule of slowness and imposed the burden of proof and persuasion on the prosecution.
Therefore, it seems that a large number of countries are using artificial intelligence in criminal proceedings, investigations and scientific activities. One of the most recent technological advances affecting the criminal justice industry is facial recognition software. The evidence used in many drug-related crimes, such as facial recognition technologies (FRT) and machine learning algorithms, has dramatically expanded the accuracy and scope of potential surveillance.