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Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments
In this paper, we propose a framework based on design of experiments to systematically investigate the robustness of AI classification algorithms. Expand
A survey on artificial intelligence assurance
Artificial Intelligence (AI) algorithms are increasingly providing decision making and operational support across multiple domains. Expand
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents
We propose a framework that incorporates test and evaluation throughout not only the development life cycle, but continues into operation as the system learns and adapts in a noisy, changing, and contended environment. Expand