Charles River Analytics creates tool to help AI communicate effectively with humans

CAMBRIDGE, Mass. Developer of intelligent systems solutions, Charles River Analytics Inc. created the Causal Models to Explain Learning (CAMEL) approach under the Defense Advanced Research Projects Agency's (DARPA) Explainable Artificial Intelligence (XAI) effort.

The goal of the CAMEL tool approach will be help artificial intelligence effectively communicate with human teammates.

Under DARPA’s XAI effort, Charles River Analytics led a team that included Brown University, the University of Massachusetts at Amherst, and Roth Cognitive Engineering. The team developed probabilistic causal modeling techniques and an interpretive interface that enable users to naturally interact with machines.

CAMEL simplifies explanations of how these complex, deep learning machines work. "Our approach will significantly impact the way that machine learning systems are deployed, operated, and used inside and outside the Department of Defense (DoD)," Charles River Analytics states.