The the ITEA Journal of Test and Evaluation of Test and Evaluation

This introductory work aims to provide members of the Test and Evaluation community with a clear understanding of trust and trustworthiness to support responsible and effective evaluation of AI systems. The paper provides a set of working definitions and works toward dispelling confusion and myths surrounding trust. Suggested Citation Razin, Yosef S., and Kristen Alexander. “Developing AI Trust: From Theory to Testing and the Myths in Between.” The ITEA Journal of Test and Evaluation 45, no....

This work describes the development of a statistical test created in support of ongoing verification, validation, and accreditation (VV&A) efforts for modeling and simulation (M&S) environments. The test computes a Wald-type statistic comparing two generalized linear models estimated from live test data and analogous simulated data. The resulting statistic indicates whether the M&S outputs differ from the live data. After developing the test, we applied it to two logistic regression models estimated from live torpedo test data and simulated data from the Naval Undersea Warfare Center’s Environment Centric Weapons Analysis Facility (ECWAF)....

We discuss four areas in which statistically rigorous methods contribute to modeling and simulation validation studies. These areas are statistical risk analysis, space-filling experimental designs, metamodel construction, and statistical validation. Taken together, these areas implement DOT&E guidance on model validation. In each area, IDA has contributed either research methods, user-friendly tools, or both. We point to our tools on testscience.org, and survey the research methods that we’ve contributed to the M&S validation literature...