Expediting the fires process responsibly using artificial intelligence
4 April 2022 • 9:40 AM - 10:00 AM EDT
Presently, each stage of the fires process requires human input, which consumes time – a precious resource during conflict. To counter that problem, Artificial Intelligence (AI) could rapidly automate the fires process without human involvement, but that conflicts with the Department of Defense’s ethics and responsible AI directive. Therefore, the challenge becomes how to speed up the fires process with AI, yet do so responsibly with appropriate human oversight. Other challenges include how to gradually replace human involvement as the technology matures and where in the process to keep human involvement. We propose that eventually humans will only need to be in-the-loop at one of the stages, and the amount of human oversight and where it happens depends upon the commander’s risk assessment and the confidence of the AI. The final challenge addressed in this paper deals with how the technology maturation and adaptation will occur and the role service members and commanders will play.
United States Army War College (United States)
Lieutenant Colonel Christopher Lowrance is a student at the US Army War College. He received his commission as a Distinguished Military Graduate and Signal Officer from the Virginia Military Institute (VMI) in 2000. Most recently, he was assigned to the Army Artificial Intelligence Integration Center (AI2C), where he served as the Chief Autonomous Systems Engineer leading modernization projects at the intersection of AI, autonomy, and robotics. Throughout his career, LTC Lowrance has served in multiple leadership positions as a Signal Officer and Network Systems Engineer. More recently, he served as an Associate Professor, Deputy Program Director of Electrical Engineering, and Senior Research Associate in the Robotics Research Center at West Point. LTC Lowrance holds a Doctorate degree from the University of Louisville in Computer Science and Engineering, a Master’s degree in Electrical Engineering from George Washington University, and a Bachelor’s in EE from VMI.