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Title: Artificial Intelligence Systems: Unique Challenges for Defense Applications
Authors: Bonnie Johnson
Keywords: Artificial intelligence
machine learning
tactical decision aids
systems engineering
human–machine teaming
Issue Date: 10-May-2021
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Acquisition Management;SYM-AM-21-087
Abstract: Today’s warfighters are bombarded with information and faced with challenging decision spaces as technology exponentially expands and threat environments become more complex. Artificial intelligence (AI) and machine learning (ML) are advancements that can lessen the burden on the warfighter. AI systems offer far-reaching benefits—improving situational awareness and detection and understanding of threats and adversary capabilities and intents; identifying and evaluating possible tactical courses of action; and offering methods to predict outcomes and effects of course of action decisions. AI systems are the key to understanding and addressing highly complex tactical situations. AI systems offer advantages to the warfighter, but only if these systems are engineered and implemented correctly and in a manner that lessens the warfighter’s cognitive load. Implementing AI systems for defense applications presents unique challenges. This paper identifies four unique challenges and describes how they affect the tactical warfighter, the engineering design community, and national defense. This paper offers solution ideas for addressing these unique challenges through defense acquisition and systems engineering initiatives.
Description: Acquisition Management / Defense Acquisition Community Contributor
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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