AI in Law Enforcement

Balance innovation and civil liberties in next-generation public safety.

Public safety leaders, analysts, and policymakers get equipped with the knowledge to implement and oversee AI in policing and security. From predictive crime mapping to biometric surveillance, learners engage with the capabilities—and the controversies—surrounding AI use in law enforcement.

The curriculum addresses critical oversight issues including algorithmic fairness, privacy protection, human rights, and legal frameworks governing facial recognition and behavioral prediction. Case studies spotlight real-world deployments, offering frameworks for accountability, transparency, and bias mitigation.

Participants leave with a deep understanding of both the operational power and the ethical boundaries of AI in security settings—prepared to design or advise on systems that are not only effective, but also equitable, lawful, and aligned with public trust.