Please join us for a one-day unclassified workshop hosted by The National Academies' Board on Army Research and Development. This event will be held virtually via webinar. Please use the Eventbrite link below to register for this event.
At the request of the Deputy Assistant Secretary of the Army for Research and Technology (DASA(RT)), the National Academies of Sciences, Engineering, and Medicine, under the Board on Army Research and Development (BOARD), is convening a virtual workshop to explore how to improve the robustness of machine learning and other artificial intelligence (ML/AI) technologies to better enable their successful implementation in Command and Control (C2) operations. Senior tactical leaders (e.g., Battalion Commanders and their staffs) often work in austere environments with limited connectivity and incomplete information, and must trust the ML/AI algorithms that aid in their decision-making. This workshop will investigate opportunities for the Army to improve security, reliability, and transparency to foster soldier trust in ML/AI systems.
Workshop participants will be asked to comment on vulnerabilities and limitations of ML/AI systems and identify opportunities for both materiel (R&D investments) and non-materiel (Doctrine, Organization, Training, and Policy) solutions. The workshop will also explore opportunities to use AI tools in C2, training considerations, limitations and vulnerabilities, centered on the following framing topics:
- Examples of how industry and other branches of the military have successfully integrated ML/AI tools into a C2 architecture, particularly in a Multi-Domain Operations (MDO) environment.
- How does the Army define success? How does it measure progress in these areas? What gaps exist in the Army achieving success?
- What obstacles exist to achieving success and how might the Army overcome them?
Please note that the first day of this workshop is unclassified and the remaining two days of the event be held in an invitation-only, classified setting. An unclassified summary of both sessions will be prepared consistent with security review.
Seating capacity will be limited and virtual attendence is strongly encouraged.