A.I. for Safety and Security

Effective and efficient safety and security systems are critical for the smooth functioning of urban environments. Given the widely reported attacks in several major cities of the world, augmented intelligent systems that can anticipate, detect and plug any gaps in incident prevention and response, are a need of the hour.

A.I. researchers are pursuing techniques at the intersection data analytics, decision theory, game theory and behavioural economics to improve incident prevention and response. These systems have been applied to improve infrastructure security at airports, coast guards, metro systems, emergency and fire response, traffic patrolling and many others.

In this podcast, Associate Professor Pradeep Varakantham from SMU’s School of Information Systems shares how A.I. can be used to improve safety and security.