An Analytic Framework for Assessing Artificial Intelligence and Assistive Automation Enabled Command and Control Decision Aids for Mission Effectiveness
Loading...
Authors
Mitchell, Thomas
Sheffield, Noah
Richardson, Darius
Jensen, Benjamin
Nack, Emily
Cruickshank, Iain
Thomson, Robert
Bastian, Nathaniel D.
Issue Date
2023-05-04
Type
Conference presentations, papers, posters
Language
Keywords
Assessment Framework , Analytic Hierarchy Process , Combat Simulation , Artificial Intelligence , Decision Aids
Alternative Title
Abstract
The U.S. Army has significant interest in operationalizing Artificial Intelligence and Assistive Automation (AI/AA) technologies on the battlefield to help collate, classify, and clarify multiple streams of situational and sensor data to provide a Commander with a clear, accurate operating picture to enable rapid and appropriate decision-making. This paper offers a methodology integrated with combat simulation output data into an analytic assessment framework. This framework helps assess AI/AA enabled Decision Aids for command and control with respect to mission effectiveness. Our methodology is demonstrated via a real-world operational vignette of an AI/AA-augmented Battalion assigned to clearing a sector of the battlefield. Results indicate that the simulated scenario with an AI/AA advantage modeled led to a higher expected mission effectiveness score.
Description
Citation
Mitchell, Thomas, Noah Sheffield, Darius Richardson, Benjamin Jensen, Emily Nack, Iain Cruickshank, Robert Thomson, and Nathaniel D. Bastian. "An Analytic Framework for Assessing Artificial Intelligence and Assistive Automation Enabled Command and Control Decision Aids for Mission Effectiveness." In Proceedings of the Annual General Donald R. Keith Memorial Conference. 2023.
Publisher
Society for Industrial and Systems Engineering
License
Journal
Volume
Issue
PubMed ID
ISSN
2329-0188