Developing AI Trust: From Theory to Testing and the Myths in Between

also accounting for the increasing complexity of Department of Defense (DoD) systems.This new approach moves T&E from a serial set of activities conducted largely independently of systems engineering (SE) and ME activities to a new integrative framework focused on a continuum of activities termed T&E as a Continuum. 1 This framework has three key attributes: (1) capability and outcome focused testing; (2) an agile, scalable evaluation framework; and (3) enhanced test design.Each attribute is critical in capability delivery at the "speed of relevance."T&E as a Continuum builds off of the 2018 DoD Digital Engineering (DE) Strategy's five critical goals: (1) formalize the development, integration, and use of models to inform enterprise and program decision-making; (2) provide an enduring, authoritative source of truth; (3) incorporate technological innovation to improve the engineering practice; (4) establish a supporting infrastructure and environments to perform activities, collaborate, and communicate across stakeholders; and (5) transform the culture and workforce to adopt and support DE across the life cycle. 2Derived from those goals are three key enablers for implementing T&E as a Continuum, developing (1) robust live, virtual, and constructive (LVC) 3 testing environments; (2) a model-based environment; and (3) a "digital" workforce.Each key enabler plays a critical role in conducting T&E as a Continuum, as combined they will provide timely and comprehensive information on system performance and risk characterization from the earliest design stages, enabling rapid development and fielding along with ongoing support for these increasingly complex systems and systems of systems (SoS).Making T&E an integral part of SE and ME processes facilitated by using DE not only supports decision-making on individual systems but also helps enable informed management of DoD's capability development portfolios.