FROM THE AAE
DIGITAL LITERACY
The Army Artificial Intelligence Integration Center is coordinating with Carnegie Mellon University and industry to provide advanced learning opportunities, cloud certification and leadership courses for the Army workforce. In addition, members of the workforce can upgrade their knowledge and skills through online courses available through Udemy. (Photo by Miguel Á. Padriñán, Pexels)
can function in the particular terrain where the unit is currently operating? Which types of signals can be handled by the equip- ment at hand?
To play their vital role in the modernization of the Army, acquisition professionals are already working to become more familiar with digital technology—what it is, what it does, what its potential can be and what its limitations are. While Army Acquisition Workforce (AAW) professionals do not need to be actual computer scientists or know how to code, they do have to understand digital technology, software, and how the continu- ous pace of software development and acquisition differs from the more traditional acquisition process for hardware.
Te expertise required for AI and ML acquisition requires even more expertise. In addition to the computer science and digital engineering expertise required for standard smart technology, AI and ML systems must be developed and operated, particularly in early stages, by specialists who can “teach” the systems how to autonomously categorize, handle and process different types of knowledge. Across the AAW, we must have data scientists, data labeling experts and other experts who can help determine what types of data are important to do the tasks that new AI-ML systems will tackle.
For example, if the AI system is working with setting up radio networks, the Army needs to have a skilled professional who is an expert on radio waveforms, frequencies and other techni- cal issues. Tis person will have the expertise to share with the programmers who will “teach” the AI what data will be needed to decide, depending upon local conditions, which waveform and frequency should be used, and what factors should be considered that might affect that decision. Which waveform or frequency is harder to detect, or jam? Which type of signal and what types of antennas can be used to transmit further without distortion and
Weighing all these factors is complicated enough. Teaching the AI-ML system how to make the best decision, and then learn from how the system performs so it can improve its decision- making is an even more difficult proposition. But solving this problem is key to the successful development and implementa- tion of AI-ML technology.
INVESTING IN DIGITAL LITERACY Army acquisition leaders have always supported the development of the skills and knowledge of the entire 33,000 civilian and military-member acquisition workforce. Te AAW is a diverse group of professionals and is comprised of six functional areas: program management (11.0%); contracting (28.1%); engineering and technical management (37.5%); life cycle logistics (13.5%); test and evaluation (6.5%); and business-financial management and business-cost estimating (3.4%). Of those 33,000 workforce members, 55.1% hold a bachelor’s degree in a science, technol- ogy, engineering and math (STEM) field; 41.5% hold a master’s degree or higher in a STEM field. Within the engineering and technical management functional area specifically, 43.4% hold a master’s degree or higher in STEM.
Te investments are addressing the need for digital skills in two ways: It helps existing members of the workforce to improve their skills and add to their knowledge, and it is recruiting people with more of these skills.
One important effort is the Army Artificial Intelligence Inte- gration Center (AI2C), located at Carnegie Mellon University, a nationally recognized center for AI, ML and autonomous tech- nologies. Te Pittsburgh-based center leads and integrates Army AI strategy and implementation and coordinates with Carnegie Mellon and industry to provide advanced learning opportu- nities, cloud certification and leadership courses for the Army workforce.
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