Why the Department of Defense Should Create an AI Red Team

What is adversarial machine learning (AML)? AML is the purposeful manipulation of data or code to cause a machine learning (ML) algorithm to misfunction or present false predictions. A popular example of AML is from a team at Google that carried out an experiment on GoogLeNet, a convolutional neural network architecture that won the ImageNet Large Scale Visual Recognition Challenge in 2014. Adding noise to an image of a panda and digitally changing its characteristic led the program to more highly predict that the image was a gibbon. This type of manipulation is relatively easy to execute with just a few bits of code inserted into the original algorithm.

Read more

Why the AOC Cannot Execute JADC2

Abstract: After a successful debut during the Gulf War, the Air Operations Center (AOC) is at the heart of how the US Air Force executes operational command and control. As the drive for a Joint All Domain Command and Control (JADC2) solution increases, the easy solution of making an AOC more joint will not be enough for the future of all domain warfare.

Read more