Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4394
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dc.contributor.authorBonnie Johnson-
dc.date.accessioned2021-05-18T20:10:32Z-
dc.date.available2021-05-18T20:10:32Z-
dc.date.issued2021-05-10-
dc.identifier.citationPublished--Unlimited Distributionen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4394-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributoren_US
dc.description.abstractToday’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.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;SYM-AM-21-087-
dc.subjectArtificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectcomplexityen_US
dc.subjecttactical decision aidsen_US
dc.subjectsystems engineeringen_US
dc.subjecttrusten_US
dc.subjecthuman–machine teamingen_US
dc.titleArtificial Intelligence Systems: Unique Challenges for Defense Applicationsen_US
dc.typeBook chapteren_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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