The Department of Defense (DOD) is seeking proposals for the xTechScalable AI 2 topic. This solicitation focuses on two main areas:

1. Scalable Tools for Automated AI Risk Management and Algorithmic Analysis: The Army is looking for automated tools to evaluate and mitigate risk against an AI Risk Management Framework (RMF) to ensure trusted and validated AI models. The tools should be able to evaluate multiple dimensions of AI risk, classify and quantify AI risk, and propose mitigation options. The Army is particularly interested in tools that can accept risk-related inputs from multiple data sources and modalities and have standardized evaluation methods and mitigation strategies.

2. Scalable Techniques for Robust Testing and Evaluation (T&E) of AI Operations Pipelines: The Army needs a robust and automated T&E approach for AI Operations Pipelines. This includes evaluating data integrity, data labeling methodologies, and model training. The Army is interested in tools that can identify and evaluate data integrity, assess the quality and accuracy of labels applied to training datasets, and evaluate model performance in terms of resource consumption, robustness, scalability, and privacy and security.

The Phase I proposals can receive up to $250,000 for a 6-month period, while Direct to Phase II proposals can receive up to $2,000,000 for an 18-month period. Phase II involves producing prototype solutions that will be evaluated by soldiers, and Phase III focuses on maturing the technology and producing prototypes for further development and commercialization. The xTechScalable AI 2 prize competition will be used to identify small businesses eligible to submit proposals under this topic. The full solicitation can be found at this link.