How Machine Learning is Already Shaping the Nuclear World

This post was written by Katharina Brown, a FSI Global Policy Intern on NTI's Scientific and Technical Affairs team. Katharina is a senior at Stanford University studying Computer Science with a focus on Artificial Intelligence. Today's popular discussion of artificial intelligence (AI) issues reflects the need to debate the implications of new AI-driven technologies, like lethal autonomous weapons systems or self-driving cars, before they become widely adopted. Although there hasn't been as much public debate on AI and machine learning (ML) in the nuclear world, new ML research has the potential to disrupt the nuclear field, and the security implications deserve discussion. These innovations are currently academic projects, not yet solutions that have been adopted by industry or government entities.