ARLINGTON, Va. – U.S. military researchers are asking industry to develop modeling and simulation of teaming humans with artificial intelligence (AI) to evaluate understand capabilities and limitations of such teams.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., has issued an artificial intelligence exploration opportunity (DARPA-PA-23-04-03) for the Exploratory Models of Human-AI Teams (EMHAT) project.
EMHAT seeks to create a human-AI modeling and simulation framework that provides data that helps evaluate human-machine teams in realistic settings. The project will use expert feedback, AI-assembled knowledge bases, and generative AI to represent a diverse set of human teammate simulacra, analogous to digital twins.
Teams are critical to accomplishing tasks that are beyond the ability of any one individual, researchers explain. Insights in human teaming have come from observing team dynamics to identify processes and behaviors that result in success or failure.
Comparatively little progress has been made, however, in applying human team analysis or in developing new ways of evaluating human-machine teams; machines traditionally have not been considered as equal members.
EMHAT researchers will capitalize on digital twins to model human interaction with AI systems in human-machine task completion; and adapting AI to simulated human behavior.
While the U.S. Department of Defense (DoD) has forecast the importance of human-machine teaming, significant gaps remain in understanding and evaluating the expected behaviors of human-AI teams. The project seeks to define when, where, why, and how humans and machines can function together productively as teammates.
Companies interested should submit proposals no later than 2 Feb. 2024 at https://baa.darpa.mil. Email questions or concerns to William Corvey, the EMHAT program manager, at [email protected].
