Defining and Designing Reliable AI-Enabled and Autonomous Systems

The desire to have a reliable system is common across stakeholders. What is less common however is a true understanding of how reliability should be defined – especially when considering AI-enabled and autonomous systems. This paper intends to discuss the key elements of the definition of reliability and how that may impact the design of AI-enabled and autonomous systems. Understanding the key elements of how reliability is defined and measured will lead engineers to design and develop systems to mitigate potential failure modes and successfully deploy capabilities to accomplish mission objectives.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/eras63351.2025.11135868
Primary Topic
Flexible and Reconfigurable Manufacturing Systems
Type
article
Field-Weighted Citation Impact
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Defining and Designing Reliable AI-Enabled and Autonomous Systems

Nathan W. Herbert, Benjamin D. Werner, Benjamin J. Schumeg, Shawn P. Brady et al.
Flexible and Reconfigurable Manufacturing Systems
article

Defining and Designing Reliable AI-Enabled and Autonomous Systems

Nathan W. Herbert, Benjamin D. Werner, Benjamin J. Schumeg, Shawn P. Brady, James J. Foerster
article en

Abstract

The desire to have a reliable system is common across stakeholders. What is less common however is a true understanding of how reliability should be defined – especially when considering AI-enabled and autonomous systems. This paper intends to discuss the key elements of the definition of reliability and how that may impact the design of AI-enabled and autonomous systems. Understanding the key elements of how reliability is defined and measured will lead engineers to design and develop systems to mitigate potential failure modes and successfully deploy capabilities to accomplish mission objectives.

United States Department of the Army (US), Eisenhower Medical Center (US), United States Army Combat Capabilities Development Command (US)
Openalex Percentile: Top 69%
Flexible and Reconfigurable Manufacturing Systems
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