Predictive policing is a data-driven approach used by law enforcement agencies to anticipate and prevent crime. By analyzing historical crime data, social media activity, and other relevant information, police can identify patterns and hotspots where crimes are likely to occur. This helps them allocate resources more effectively and respond proactively to potential criminal activity. The technology often involves algorithms and machine learning techniques that process large amounts of data. Critics argue that predictive policing can lead to biased policing practices, as it may disproportionately target certain communities. Advocates, however, believe it can enhance public safety and improve police efficiency.