COMMENTARY
These processes would allow the procurement of AI/ML models to be more like ordering parts or components that improve existing Army processes, than the purchase of major end items.
of Mathematical Sciences validates this concept by developing performance benchmarks for individual AI/ML models, allow- ing AI2C to commoditize the predictive maintenance models being deployed by Griffin. As this collaboration matures, devel- opers in AFC can continue to maintain the holistic AI-enabled systems while contracting out individual machine learning components, enabling the procurement processes to transition from acquiring end systems to purchasing modular AI/ML. Just as components in traditional manufacturing undergo strin- gent quality testing, AI/ML can be evaluated against predefined performance benchmarks defined in both machine learning and operational terms. By establishing clear requirements for individ- ual AI/ML models using quality simulations, defense acquisition can ensure that AI-enabled systems deliver immediate value and meet the demands of future battlefields, all while streamlining the procurement process and avoiding vendor lock.
DISCLAIMER: Te views expressed herein are those of the authors and do not reflect the position of the United States Military Academy, the Army Artificial Intelligence Integration Center, the Department of the Army or the Department of Defense.
For more information on our research and development collab- oration, go to
https://www.westpoint.edu/academics/ departments/mathematical-sciences.
CAPT. HANNAH FAIRFIELD is a logistics officer currently serving as a data scientist in the Sustainment Portfolio of AI2C. A member of the second cohort of the Army Artificial Intelligence Scholars Program, she holds an M.S. in business intelligence & data analytics from Carnegie Mellon University and a B.S. in human geography from the United States Military Academy.
CAPT. DYLAN HYDE is a logistics officer currently serving as an instructor at the United States Military Academy Department of Mathematical Sciences. He has an M.S. in applied mathematics from the Naval Postgraduate School, an M.A. in international
https://
asc.ar my.mil 87 relations from the University of Oklahoma and a B.S. in information technology from the United States Military Academy.
CAPT. JOHN T. MCCORMICK is an Army operations research systems analyst currently serving as a data scientist in the Sustainment Portfolio of AI2C. A member of the inaugural cohort of the Army Artificial Intelligence Scholars Program, he holds an M.S. in business intelligence and data analytics from Carnegie Mellon University and a B.S. in mathematics and military history from the United States Military Academy.
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