ARTIFICIAL INTELLIGENCE AND HUMAN INTERACTION: HOW TO KEEP THE HUMAN IN THE LOOP
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Authors
Gizas, Ashley N.
Hill, Benjamin R.
Meisner, Megan
Patterson, Dawn P.
Wilson, Nicole
Subjects
artificial intelligence
machine learning
human systems integration
machine learning
human systems integration
Advisors
Beery, Paul T.
Nicholson, Matthew C.
Date of Issue
2022-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Army leaders are looking to procure and implement artificial intelligence (AI) technologies to solve a variety of problems and enhance existing capabilities across multiple portfolios. While there are benefits to implementing new technologies, including AI, there is often a major pitfall: the human factor as a user is consistently underrepresented. This disparity between how AI-enabled systems are being acquired and how they should be acquired is often related to a gap in the development of systems not aligning with Human Systems Integration (HSI) best practices. The design of systems that facilitate human-agent learning requires further guidance. We use data from the System for Award Management (SAM) along with discussions from subject-matter experts both in government and industry to capture how AI-enabled systems are currently being procured by the Army. The combined results of the team's methodology revealed that there are varying understandings across the Army of what an AI requirement is, and there are no obvious processes or specific AI acquisition guidelines that are universally followed when developing an AI requirement. It was also apparent that HSI was not always included in requirements as required by Army regulations. This disparity appeared to have three major root causes: immaturity of DOD Army guidance, shortcomings in AI-related training for acquisition personnel, and a negligence surrounding the incorporation of HSI elements into Army requirements.
Type
Thesis
Systems Engineering Capstone Report
Systems Engineering Capstone Report
Description
Series/Report No
Department
Systems Engineering (SE)
Systems Engineering (SE)
Systems Engineering (SE)
Systems Engineering (SE)
Systems Engineering (SE)
Organization
Identifiers
NPS Report Number
Sponsors
CRUSER
Funder
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This 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.