Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4838
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dc.contributor.authorTim Cooke, William Roberts-
dc.contributor.authorMichael Arendt-
dc.date.accessioned2023-05-05T00:48:20Z-
dc.date.available2023-05-05T00:48:20Z-
dc.date.issued2023-05-01-
dc.identifier.citationAPAen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4838-
dc.descriptionProceedings Paperen_US
dc.description.abstractArtificial Intelligence technologies should be considered unique compared with the typical types of hardware and software solutions acquired by the Department of Defense (the Government). While at their heart, AI capabilities are indeed software, the journey required to build and deploy them successfully is very different. As a result, the Government must adapt its acquisition processes to support the AI development pipeline and include specific considerations for data acquisition, AI capability development, AI solution validation via test & evaluation, as well as ultimate deployment, adoption, and long-term refinement of the fielded AI capability. This research will seek to bridge the AI / acquisition divide by defining a detailed methodology to support execution of the AI acquisition lifecycle.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;SYM-AM-23-070-
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.subjectDeep Learningen_US
dc.subjectcontractingen_US
dc.subjectcultureen_US
dc.subjecttechnologyen_US
dc.subjectincentivesen_US
dc.subjectagile contractingen_US
dc.titleBridging the AI / Acquisition Divide: Why the Government Needs an Acquisition Revolution in the Coming Age of Artificial Intelligenceen_US
dc.typeTechnical Reporten_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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