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NASA GSFC AI StrategyAs NASA’s premiere space flight center and home to the nation’s largest organization of scientists, engineers, and technologists, creating the future foundation of technologies for Goddard Space Flight Center (GSFC) is paramount for long-term strategic goals. Artificial Intelligence (AI) is a foundational technology upon which entire industries will be rebuilt. It will have significant impacts traversing many sectors. AI can be used to expedite processes, make educated decisions, and give insights to improve efficiency and efficacy. Advantages include increased productivity through the automation of repetitive and low value human-performed tasks, and improved decision-making through the analysis of massive amounts of data and identifying patterns that humans may overlook. As AI technology advances, we should expect an increase in novel applications that will improve workplace productivity, performance, and safety. Organizations that do not embrace AI risk falling behind in this fast-evolving technological field.
Document ID
20250003431
Acquisition Source
Goddard Space Flight Center
Document Type
White Paper
Authors
Omar Hatamleh
(Goddard Space Flight Center Greenbelt, United States)
Matt Dosberg
(Goddard Space Flight Center Greenbelt, United States)
Michael Biskach
(Goddard Space Flight Center Greenbelt, United States)
Ryan Mcclelland
(Goddard Space Flight Center Greenbelt, United States)
Peter Hughes
(Goddard Space Flight Center Greenbelt, United States)
Sarah Dangelo
(Goddard Space Flight Center Greenbelt, United States)
Mark Carroll
(Goddard Space Flight Center Greenbelt, United States)
Mike Johnson
(Goddard Space Flight Center Greenbelt, United States)
Evana Gizzi
(Goddard Space Flight Center Greenbelt, United States)
Karin Blank
(Goddard Space Flight Center Greenbelt, United States)
Ed McLarney
(National Aeronautics and Space Administration Washington, United States)
Yasser Haridi
(Johnson Space Center Houston, United States)
Jonathan Walsh
(National Aeronautics and Space Administration Washington, United States)
Chris Mattmann
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Nikunj Oza
(Ames Research Center Mountain View, United States)
Date Acquired
April 8, 2025
Publication Date
April 8, 2025
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Funding Number(s)
WBS: 689807.98.07.51
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
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