Dan Harris is a causal AI architect for Northrop Grumman, who builds algorithms to perform tasks that would otherwise require human intelligence. He is a 2008 Naval Academy graduate and earned his Master of Science in Electrical and Computer Engineering from the University of Arizona in 2019. Mr. Harris has worked on many AI algorithm development projects, for which he has produced several original works contributing to their success. His approach, as a causal AI architect, is to discover and leverage invariant correlations, governed by causal laws, between system inputs and desired outputs, which then allows him to build causal AI systems that consistently perform well after deployment and are robust against various forms and degrees of noise.