Scalable Interactive Machine Learning for Human-AI Integration in Battlefield Decision-Making

The U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) has a research opportunity available in the research and development of scalable interactive machine learning (SIML) systems. In particular, DEVCOM ARL is looking for an outstanding individual to conduct research to enable systems of multiple AI agents to interact and collaborate with multiple humans to solve complex tasks that are not straightforward for humans or AI to accomplish alone. The developed methods will apply to real-world challenges in Command and Control—the process by which military personnel make decisions, order action, and monitor and influence actions—enabling Army personnel to collaborate with a network of AI agents to develop plans of action more efficiently and robustly. The candidate will support the short-term goal of developing a working proof-of-concept system that demonstrates the viability of human-AI integration when scaling the number of AI agents in the system. The candidate will perform algorithm and system development, conduct experiments, publish papers, and integrate ideas and methods with the ongoing efforts of a multidisciplinary research team. This is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.