The deterrence of a “nuclear” September 11^th: Solutions of Artificial Intelligence in enhancing Nuclear Security of urban areas

Dr. Miltos Alamaniotis

Assistant Professor

Department of Electrical and Computer Engineering

University of Texas at San Antonio

2/10/2023

11AM CST – 12PM CST

https://utsa.webex.com/utsa/j.php?MTID=mbd9ddfab95075e07427696090f3b9bac

The terrorist events of September 11 led to a redefinition of the security architecture and its priorities for deterring terrorist acts. Among the scenarios that emerged was the use of nuclear materials to carry out terrorist attacks with wide-ranging consequences. The recent developments in the field of Artificial Intelligence, among many, are also applicable in addressing challenges in the field of security of nuclear energy systems and facilities. The data produced by the supervisory means – e.g. sensors – are multiplying exponentially due to the increasing use of new information and communication technologies, resulting from the sensitive nature of these systems. The use of artificial intelligence techniques offers solutions for the development of high-definition and high-speed analysis of data related to the use, storage and transport of nuclear materials. In this talk, the role of artificial intelligence in upgrading the security architecture against a new 9/11 carried with radioactive and nuclear materials will be discussed. In addition, AI-based solutions and techniques for the early detection and localization of nuclear threats will be presented, while societal concerns arising from the inappropriate use of AI in nuclear security will be analyzed.