AI-powered crime prediction systems are being developed, showing promise in improving public safety by analyzing crime data to identify patterns and allocate resources efficiently. Two examples, one from the University of Chicago and another from South Korea, demonstrate varying degrees of accuracy in predicting crimes. However, significant ethical concerns exist regarding potential biases in the data and the impact on civil liberties. The technology's advancement necessitates careful implementation to balance effective policing with ethical considerations.