Artificial Intelligence: A Key to Law Enforcement Security and Crisis Management

Objective: This research examines the role of artificial intelligence (AI) and machine learning (ML) in predicting and preventing crises and the challenges associated with these technologies. Methodology: The research employs a systematic review method, utilizing the PRISMA framework to select and analyze relevant articles. This process includes identifying articles, screening, assessing quality, and extracting data. Findings: AI and ML algorithms are effective in analyzing big data, simulating crises, and identifying complex patterns. These technologies provide tools for predicting natural, economic, and social crises, as well as analyzing social behaviors. In law enforcement, AI and ML can play a significant role in predicting crimes, identifying suspicious behaviors, preventing cyber threats, and creating intelligent alert systems. The main challenges include poor data quality, algorithmic bias, privacy issues, and technological limitations. Conclusion: The use of AI and ML contributes to improving proactive protection and enhancing social security. However, addressing ethical challenges, strengthening technological infrastructures, and developing transparent and explainable algorithms are essential. These measures can increase public trust and the efficiency of these technologies in law enforcement.

کلیدواژه ها:

Artificial Intelligence ، Law Enforcement ، Security Management ، Crisis Management