AI Tools for Military Readiness
Abstract
All branches of the U.S. military collect monthly information on the readiness of their combat units, headquarters, commands, and other organizations. Military units and organizations report each month an overall readiness level, as well as readiness in four areas - personnel, equipment on hand, operational capability of that equipment, and training. These readiness levels are quantified on a numerical scale. The quantified readiness assessments are also accompanied by narratives explaining what is occurring in the unit that is affecting current or future readiness, either positively or negatively. The goal of this report is to use the textual, unstructured narratives to calculate overall readiness. One important benefit of such a capability would be to enable senior leaders to estimate how the readiness level of a unit could be affected by personnel, equipment, or training factors; another benefit would be to eventually have some automated, real-time interaction with unit commanders as they write their narratives in order to refine the information they provide and better align the narratives with the reported readiness levels. This report will be of interest to people who seek to use artificial intelligence and its enabling technologies to support the mission of the Department of Defense and the military services. The report assumes the audience has a foundational understanding of machine learning and natural language processing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2021
- Accession Number
- AD1148240
Entities
People
- Jasmin Leveille
- Peter Schirmer
Organizations
- RAND Corporation