Gaps in DoD National Artificial Intelligence Test and Evaluation Infrastructure Capabilities скачать в хорошем качестве

Gaps in DoD National Artificial Intelligence Test and Evaluation Infrastructure Capabilities

Significant literature has been published in recent years calling for updated and new T&E infrastructure to allow for the credible, verifiable assessment of DoD AI-enabled capabilities (AIECs) . However, existing literature falls short in providing the detail necessary to justify investments in specific DoD Enterprise T&E infrastructure. The goal of this study was to collect data about current DoD programs with AIEC and corresponding T&E infrastructure to identify high priority investments by tracing AIECs to tailored, specific recommendations for enterprise AI T&E infrastructure. The study is divided into six bins of research, itemized below. This presentation provides an interim study update on the current state of programs with AIEC across DoD. Goals : State specific enterprise AI T&E normative goal(s) and timeline, including rationale. Demand: Generate T&E requirements and a demand forecast by querying existing and anticipated AI programs across the Department. Supply Baseline: Catalog existing and planned AI T&E activities and infrastructure at the enterprise, Service, and Program levels, including existing resourcing levels. Gaps: Identify specific gaps based on this supply and demand information. Responsibilities: Clarify roles and responsibilities across OSD T&E stakeholders. Actions: Identify differentiated lines of effort—including objectives, milestones, and cost estimates—that create a cohesive plan to achieve enterprise AI T&E goals.