EVALUATION OF THE SAFETY RISKS IN DEVELOPING AND IMPLEMENTING AUTOMATED BATTLE MANAGEMENT AIDS FOR AIR AND MISSILE DEFENSE

Simple item page
dc.contributor.advisorJohnson, Bonnie W.
dc.contributor.authorCruz, Luis A.
dc.contributor.authorHoopes, Angela L.
dc.contributor.authorPappa, Ryane M.
dc.contributor.authorShilt, Savanna L.
dc.contributor.authorWuornos, Samuel I.
dc.contributor.departmentSystems Engineering (SE)
dc.contributor.secondreaderMiller, Scot A.
dc.date.accessioned2021-11-10T20:07:11Z
dc.date.available2021-11-10T20:07:11Z
dc.date.issued2021-09
dc.description.abstractThe modern battlefield is more complex than ever, and the technological advancement of weapons is accelerating. In order to win the next fight, faster response time to an adversary's actions is critical. Artificial intelligence (AI) has the potential to enable warfighters to outpace enemy decision cycles and reduce information overload, thus overcoming the "fog of war." When developing combat systems, reliability could be the difference between life and death. Therefore, it is of utmost importance that these weapon systems (especially novel systems such as AI) are developed with the highest standards of reliability and safety, long before they are introduced to the battlespace and entrusted to protect our nation's warfighters. This project utilizes a Systems Engineering approach to identify potential hazards and risks associated with AI and its role in the battlespace. Using an established Risk Management Framework (RMF), the team provides some mitigation strategies that developers must consider as they foster this technology for future use in U.S. weapon systems and processes.en_US
dc.description.distributionstatementApproved for public release. Distribution is unlimited.en_US
dc.description.serviceCivilian, Office of the Secretary of Defenseen_US
dc.description.serviceCivilian, NAVSEA NH-03en_US
dc.description.serviceCivilian, Department of the Armyen_US
dc.description.serviceCivilian, Department of the Armyen_US
dc.description.serviceMajor, United States Marine Corpsen_US
dc.identifier.curriculumcode311, Systems Engineering (DL)
dc.identifier.curriculumcode311, Systems Engineering (DL)
dc.identifier.curriculumcode311, Systems Engineering (DL)
dc.identifier.curriculumcode311, Systems Engineering (DL)
dc.identifier.curriculumcode311, Systems Engineering (DL)
dc.identifier.thesisid36733
dc.identifier.urihttps://hdl.handle.net/10945/68315
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.relation.ispartofseriesSystems Engineering Capstone Project Reports
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.authorartificial intelligenceen_US
dc.subject.authorAIen_US
dc.subject.authormachine learningen_US
dc.subject.authorsafety risksen_US
dc.subject.authorbattle management aidsen_US
dc.subject.authorfailure modesen_US
dc.subject.authorair and missile defenseen_US
dc.titleEVALUATION OF THE SAFETY RISKS IN DEVELOPING AND IMPLEMENTING AUTOMATED BATTLE MANAGEMENT AIDS FOR AIR AND MISSILE DEFENSEen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineSystems Engineeringen_US
etd.thesisdegree.disciplineEngineering Systemsen_US
etd.thesisdegree.disciplineSystems Engineeringen_US
etd.thesisdegree.disciplineSystems Engineeringen_US
etd.thesisdegree.disciplineSystems Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Science in Systems Engineeringen_US
etd.thesisdegree.nameMaster of Science in Engineering Systemsen_US
etd.thesisdegree.nameMaster of Science in Systems Engineeringen_US
etd.thesisdegree.nameMaster of Science in Systems Engineeringen_US
etd.thesisdegree.nameMaster of Science in Systems Engineeringen_US
relation.isDepartmentOfPublication73c095de-fa3b-4d63-8300-9b6aee5b4d62
relation.isDepartmentOfPublication.latestForDiscovery73c095de-fa3b-4d63-8300-9b6aee5b4d62
relation.isSeriesOfPublicationaad5eb3c-9f14-4b68-99ea-1a8c4ae89650
relation.isSeriesOfPublication.latestForDiscoveryaad5eb3c-9f14-4b68-99ea-1a8c4ae89650
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
21Sep_Cruz et al.pdf
Size:
5.09 MB
Format:
Adobe Portable Document Format
Download
Collections
Theses