Featured Articles
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.
Commmentary
Defining The Line: Why The Department of Defense Should Reconsider United States Space Command’s Area Of Responsibility
In announcing the reestablishment of United States Space Command (USSPACECOM), the geographic combatant command also announced a new area of responsibility (AOR) for its warfighting domain. Typically, publication of a geographic combatant command’s AOR is routine, but, due to unique considerations in space law, USSPACECOM’s AOR is unprecedented. A reexamination of the AOR by USSPACECOM may avoid inadvertent, disadvantageous consequences, including the formation of international law.
Interviews and Podcasts
OTH Video Interview with Gen Jay Raymond, Commander Air Force Space Command
General Jay Raymond discusses space as a warfighting domain and what the historic Falcon Heavy launch means for the military
