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Strategic Artificial Intelligence Learning (SAIL) And Applications – Mastering Risk in Space ExplorationsThe focus of this paper is to provide a framework for an interdisciplinary approach on Artificial Intelligence (AI) system applications with space exploration in line with National Aeronautics and Space Administration’s (NASA) perspective on AI.
Document ID
20240013932
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Prince Kalia (Goddard Space Flight Center Greenbelt, United States)
Humberto Calvani (Goddard Space Flight Center Greenbelt, United States)
Jonathan Patterson (Marshall Space Flight Center Redstone Arsenal, United States)
Tim Crumbley (Marshall Space Flight Center Redstone Arsenal, United States)
Date Acquired
November 4, 2024
Publication Date
September 15, 2024
Publication Information
Publisher: IEEE Aerospace and Electronic Systems Society, IEEE Dayton Section
Subject Category
Quality Assurance and Reliability
Lunar and Planetary Science and Exploration
Meeting Information
Meeting: 71st Reliability and Maintenability Symposium RAMS-2025
Location: Miramar Beach, FL
Country: US
Start Date: January 27, 2025
End Date: January 30, 2025
Sponsors: Institute of Electrical and Electronics Engineers (IEEE)
Funding Number(s)
WORK_UNIT: 981698.02.03.51.02.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
Automation Uncertainties
Graey Rhinos risks
Artificial Intelligence
Modeling and Simulation Validation

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