Artificial Intelligence as a Predictor of Cybercrimes: Opportunities and Challenges
Subject Areas :
1 - Department of Jurisprudence and Fundamentals of Islamic Law, Faculty of Theology, Allameh Tabatabaei University, Tehran, Iran
Keywords: Artificial Intelligence, Cybercrime, Prediction, Shia Islamic Jurisprudence, Iranian Law, Privacy, Regulation,
Abstract :
With the ever-increasing expansion of information technology and the complexity of cybercrimes, the need for smart tools to deal with these threats is felt more and more. Artificial intelligence, with the capabilities of analyzing large and complex data, has been proposed as a powerful tool in this field. This research examines the role of artificial intelligence in predicting and preventing cybercrimes, its challenges and regulatory solutions. The findings show that artificial intelligence can predict the occurrence of cybercrimes by analyzing behavioral patterns and historical data. However, challenges such as privacy, algorithmic bias, and prediction uncertainty limit its use. However, challenges such as privacy, algorithmic bias, and prediction uncertainty limit its use. To manage these challenges, it is necessary to develop appropriate legal and ethical frameworks. Imamiyyah jurisprudence with general principles such as harm and justice can lead the way in this field. Finally, artificial intelligence can play an effective role in the fight against cybercrime, but for its optimal use, challenges must be identified and appropriate regulatory solutions considered. Combining the principles of Imamiyyah jurisprudence and Iran's legal laws can help to formulate a comprehensive and efficient framework for the use of artificial intelligence in the prevention of cybercrimes.