Acquisition Source
Langley Research Center
Document Type
Technical Memorandum (TM)
Authors
Edward Mclarney (Langley Research Center Hampton, Virginia, United States) Yuri Gawdiak (National Aeronautics and Space Administration Washington D.C., District of Columbia, United States) Nikunj Oza (Ames Research Center Mountain View, California, United States) Chris Mattmann (Jet Propulsion Lab La Cañada Flintridge, California, United States) Martin Garcia (Johnson Space Center Houston, Texas, United States) Manil Maskey (Marshall Space Flight Center Redstone Arsenal, Alabama, United States) Scott Tashakkor (Marshall Space Flight Center Redstone Arsenal, Alabama, United States) David Meza (National Aeronautics and Space Administration Washington D.C., District of Columbia, United States) John Sprague (National Aeronautics and Space Administration Washington D.C., District of Columbia, United States) Phyllis Hestnes (Goddard Space Flight Center Greenbelt, Maryland, United States) Pamela Wolfe (Stennis Space Center Bay Saint Louis, Mississippi, United States) James Illingworth (National Aeronautics and Space Administration Washington D.C., District of Columbia, United States) Vikram Shyam (Glenn Research Center Cleveland, Ohio, United States) Paul Rydeen (Stennis Space Center Bay Saint Louis, Mississippi, United States) Lorraine Prokop (Johnson Space Center Houston, Texas, United States) Latonya Powell (Marshall Space Flight Center Redstone Arsenal, Alabama, United States) Terry Brown (Marshall Space Flight Center Redstone Arsenal, Alabama, United States) Warnecke Miller (Johnson Space Center Houston, Texas, United States) Claire Little (National Aeronautics and Space Administration Washington D.C., District of Columbia, United States) Date Acquired
March 31, 2021
Publication Date
April 5, 2021
Subject Category
Cybernetics, Artificial Intelligence And Robotics Funding Number(s)
WBS: 689807.98.06.23.03.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Artificial IntelligenceMachine LearningEthicsFairnessExplainable and TransparentAccountable AISecure and SafeHuman CentricSocietally BeneficialScientifically and Technically RobustData ScienceArtificial Narrow IntelligenceArtificial General IntelligenceArtificial Super IntelligenceRobotic Process Automation