Trust in AI and Autonomous Systems

In 2023, the Office of the Undersecretary of Defense initiated the Center for Calibrated Trust Measurement and Evaluation (CaTE) aimed at establishing methods for assuring trustworthiness in artificial intelligence (AI) systems with an emphasis on the human-autonomy interaction. As part of the CaTE effort, the DEVCOM Armaments Center’s Tactical Behavior Research Laboratory was tasked with developing standards for testing and measuring calibrated trust in AI-enabled armament systems. Qualitative and quantitative measures of trust were collected from over 80 Soldiers in table-top, force on force, simulated environments, and engineering integration events. In particular, a survey instrument, configured specifically for assessing trust in AI weapon systems, has been created for this research. Embedding with Soldiers during operational exercises using actual systems, the researchers were able to gather footage and recordings of possible human systems integration (HSI) issues. Information from this live exercise was used to configure a virtual environment experiment using the same terrain, controllers, and systems as in the live exercise. This presentation will give an overview of the research program, with the emphasis on novel HSI data collection methods.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006376
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trust in AI and Autonomous Systems

Kenneth R. Short, Nasir Jaffery, Jasmin Decker, Jose Rodriguez et al.
AHFE international
Adversarial Robustness in Machine Learning
article

Trust in AI and Autonomous Systems

Kenneth R. Short, Nasir Jaffery, Jasmin Decker, Jose Rodriguez, Robert Demarco, Nikola Jovanovic, Elizabeth Sibolboro Mezzacappa, Dominic Cheng, Alexis Cady, Mark Germar, Keith Koehler, Lawrence D'aries, Lucas Hess, Madeline Kiel
article en

Abstract

In 2023, the Office of the Undersecretary of Defense initiated the Center for Calibrated Trust Measurement and Evaluation (CaTE) aimed at establishing methods for assuring trustworthiness in artificial intelligence (AI) systems with an emphasis on the human-autonomy interaction. As part of the CaTE effort, the DEVCOM Armaments Center’s Tactical Behavior Research Laboratory was tasked with developing standards for testing and measuring calibrated trust in AI-enabled armament systems. Qualitative and quantitative measures of trust were collected from over 80 Soldiers in table-top, force on force, simulated environments, and engineering integration events. In particular, a survey instrument, configured specifically for assessing trust in AI weapon systems, has been created for this research. Embedding with Soldiers during operational exercises using actual systems, the researchers were able to gather footage and recordings of possible human systems integration (HSI) issues. Information from this live exercise was used to configure a virtual environment experiment using the same terrain, controllers, and systems as in the live exercise. This presentation will give an overview of the research program, with the emphasis on novel HSI data collection methods.

AHFE internationalVol. 179
Openalex Percentile: Top 93%
Adversarial Robustness in Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.