1. Defense Acquisition Innovation Repository

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Results 1-10 of 25 (Search time: 0.002 seconds).
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Issue DateTitleAuthor(s)
2020-04-13Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits OpportunitiesJohnathan Mun; Tom Housel
2021-05-10Interdependence Analysis for Artificial Intelligence System SafetyBruce Nagy, Scot Miller
2021-05-10Leverage Artificial Intelligence to Learn, Optimize, and Wargame (LAILOW) for Navy ShipsYing Zhao, Gabe Mata; Erik Hemberg, Una May O'Reillu; Nate Derbinsky, Bruce Cormany; Joy Allen, Andrew Haley; Adam Hilliard
2021-05-10Increasing Confidence in Machine Learned (ML) Functional Behavior during Artificial Intelligence (AI) Development using Training Data Set MeasurementsBruce Nagy
2021-05-10Functional Hazard Analysis and Subsystem Hazard Analysis of Artificial Intelligence/Machine Learning Functions Within a Sandbox ProgramBruce Nagy, Loren Edwards; Gunendran Sivapragasam
2021-05-10Blockchain Data Management Benefits by Increasing Confidence in Datasets Supporting Artificial Intelligence (AI) and Analytical Tools using Supply Chain ExamplesAnthony Kendall, Arjot Das; Bruce Nagy, Avantika Ghosh
2021-05-20Interdependence Analysis for Artificial Intelligence System SafetyBruce Nagy; Scot Miller
2021-05-19Functional Hazard Analysis and Subsystem Hazard Analysis of Artificial Intelligence/Machine Learning Functions Within a Sandbox ProgramBruce Nagy; Loren Edwards; Gunendran Sivapragasam
2021-05-19BC Data Management Benefits by Increasing Confidence in Datasets Supporting AI and Analytical Tools using Supply Chain Examples (blockchain for software system safety)Anthony Kendall; Arijit Das; Bruce Nagy; Avantika Ghosh
2022-05-02Tips for CDRLs/Requirements when Acquiring/Developing AI-Enabled SystemsBruce Nagy

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