1. Defense Acquisition Innovation Repository

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Issue DateTitleAuthor(s)
2021-05-10Increasing Confidence in Machine Learned (ML) Functional Behavior during Artificial Intelligence (AI) Development using Training Data Set MeasurementsBruce Nagy
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
2022-05-06Tips for CDRLs/Requirements when Acquiring/Developing AI-Enabled SystemsBruce Nagy
2022-05-06Two Gaps That Need to be Filled in Order to Trust AI in Complex Battle ScenariosBruce Nagy
2022-05-02Two Gaps That Need to be Filled in Order to Trust AI in Complex Battle ScenariosBruce Nagy

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