Integrating Artificial Intelligence into Weapon Systems

Simple item page
dc.contributor.authorFeldman, Philip
dc.contributor.authorDant, Aaron
dc.contributor.authorMassey, Aaron
dc.date.accessioned2020-01-28T18:45:40Z
dc.date.available2020-01-28T18:45:40Z
dc.date.issued2019-05-10
dc.description.abstractThe integration of Artificial Intelligence (AI) into weapon systems is one of the most consequential tactical and strategic decisions in the history of warfare. Current AI development is a remarkable combination of accelerating capability, hidden decision mechanisms, and decreasing costs. Implementation of these systems is in its infancy and exists on a spectrum from resilient and flexible to simplistic and brittle. Resilient systems should be able to effectively handle the complexities of a high-dimensional battlespace. Simplistic AI implementations could be manipulated by an adversarial AI that identifies and exploits their weaknesses. In this paper, we present a framework for understanding the development of dynamic AI/ML systems that interactively and continuously adapt to their user's needs. We explore the implications of increasingly capable AI in the kill chain and how this will lead inevitably to a fully automated, always on system, barring regulation by treaty. We examine the potential of total integration of cyber and physical security and how this likelihood must inform the development of AI-enabled systems with respect to the "fog of war", human morals, and ethics.en_US
dc.description.urihttps://arxiv.org/abs/1905.03899en_US
dc.format.extent7 pagesen_US
dc.genrejournal articles preprintsen_US
dc.identifierdoi:10.13016/m2dwgg-rsif
dc.identifier.citationFeldman, Philip; Dant, Aaron; Massey, Aaron; Integrating Artificial Intelligence into Weapon Systems; Artificial Intelligence (2019); https://arxiv.org/abs/1905.03899en_US
dc.identifier.urihttp://hdl.handle.net/11603/17178
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectmachine learningen_US
dc.subjectcomputer simulationen_US
dc.subjecthuman-computer interactionen_US
dc.titleIntegrating Artificial Intelligence into Weapon Systemsen_US
dc.typeTexten_US

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Information Systems Department
UMBC Faculty Collection