Special Notice For Advanced Ai/aa Analytics

The summary for the Special Notice For Advanced Ai/aa Analytics grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Dept of the Army Materiel Command, which is the U.S. government agency offering this grant.

Special Notice For Advanced Ai/aa Analytics: This is a Special Notice issued against Army Research Laboratory (ARL) Broad Agency Announcement (BAA) W911NF-17-S-0003. This Special Notice seeks proposals in the field of Advanced AI/AA Analytics as described in the Special Notice.DEVCOM DAC is soliciting proposals under this Special Notice of the BAA for the performance of applied research focused on developing a suitable analytical and simulation framework for artificial intelligence and assistive automation (AI/AA) systems to ensure these systems can be assessed and evaluated properly by the Army. The framework should include live, virtual, and constructive simulations to model the AI/AA in relevant Army operational situations. The framework should enable the DEVCOM DAC to perform: direct measurement, trade off analysis, performance and effectiveness analysis, development of data for higher-level force-on-force models, and sustainability analysis. These analyses will enable Senior Army decision makers to better integrate AI/AA systems into the Army structure. As part of this framework, metrics and their underlying variables should be developed, defined and delivered. These experimental, calculated, or modeled metrics must have high explanatory value in appropriately capturing the most important determinants of the performance and effectiveness of the AI/AA technology-human operator ensemble.